Backend Developer / Software Engineer (Go / Node Pub / Sub) Remote / Hybrid to £120k + Equity Are you an experienced Backend Developer who enjoys building distributed systems, real-time infrastructure and solving complex scalability challenges? You could be progressing your career at a high growth technology company whose messaging platform powers millions of real-time interactions for developers an click apply for full job details
Aug 27, 2026
Full time
Backend Developer / Software Engineer (Go / Node Pub / Sub) Remote / Hybrid to £120k + Equity Are you an experienced Backend Developer who enjoys building distributed systems, real-time infrastructure and solving complex scalability challenges? You could be progressing your career at a high growth technology company whose messaging platform powers millions of real-time interactions for developers an click apply for full job details
C&D Talent Advisory
Welwyn Garden City, Hertfordshire
Founding Engineer, Infrastructure & Platform London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: 6+ years Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Risk Infrastructure Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Build systems used by customers across financial services, regulated technology, and healthcare Own both core backend services and the infrastructure foundations they run on Shape a platform where security, compliance, reliability, and enterprise trust are critical to winning customers Work directly on architecture that supports multi-year enterprise deployments Operate with founding-team levels of ownership and autonomy Partner closely with company leadership on technical direction and platform evolution What you'll own Build and own backend services across the platform Develop APIs, asynchronous workflows, and core data models Design and maintain cloud infrastructure foundations Own Infrastructure as Code using Terraform Design secure multi-tenant isolation across compute, data, and network layers Own deployment pipelines and CI/CD infrastructure Build and maintain observability systems Establish and improve production on-call practices Develop infrastructure for long-running AI agent workloads Build systems for large-scale document processing Design secure execution environments for AI tools and agents Automate compliance evidence collection Build infrastructure supporting SOC 2, ISO 27001, and similar frameworks Develop internal tooling that allows engineers to ship quickly without compromising security or reliability What we're looking for 6+ years of backend engineering experience Significant infrastructure ownership in production environments Strong professional experience with a backend programming language Strong TypeScript or Node.js experience preferred Production experience with Terraform Strong CI/CD experience Experience with containerized production workloads Strong understanding of cloud infrastructure Experience owning systems through deployment and production operations Strong security fundamentals Experience with IAM and access-control architecture Experience with network segmentation Strong understanding of secrets management Awareness of software supply-chain security Experience designing and implementing compliance controls Hands-on ownership of SOC 2, ISO 27001, or comparable compliance programs Operational maturity from supporting production systems that matter Ability to balance rapid product delivery with security and reliability requirements High level of autonomy and technical ownership Particularly valuable experience Azure Azure Container Apps Azure Service Bus Azure Front Door Entra ID Multi-tenant SaaS infrastructure Compute isolation Data isolation Network isolation Audit-sensitive enterprise products GitHub Actions Docker Postgres AKS Production-grade AI infrastructure LLM platforms RAG systems Agentic workflows Secure AI tool execution High-volume document-processing systems Strong profile signals Former founder or technical founder Former CTO returning to an individual-contributor role Founding or early-stage engineering experience Strong product-engineering mindset History of owning architecture as well as implementation Experience shipping backend systems directly used by customers Startup-style production ownership Side projects or evidence of independent technical building Technical talks, open-source work, or other evidence of deep engineering interest Experience working in environments where reliability and compliance directly affect commercial outcomes Strong AI-first development mindset Comfortable using AI coding tools such as Claude Code or equivalent This role may not be the right fit if you Have primarily front-end engineering experience Lack meaningful backend or infrastructure ownership Have worked exclusively in cybersecurity without hands-on product engineering Have primarily Developer Relations or Developer Experience experience Have spent your career only on internal tooling without customer-facing product impact Have limited experience operating production systems Have no practical Infrastructure as Code or CI/CD experience Have only participated in compliance processes rather than designing and implementing controls Prefer highly specialized infrastructure work without broader product ownership Prefer large-company structures with narrowly defined responsibilities Are not comfortable working primarily on-site in London What you'll get Founding-level technical ownership Significant influence over platform architecture Direct impact on which enterprise customers the company can support Opportunity to build secure, production-grade AI infrastructure from an early stage Exposure to complex enterprise security and compliance requirements Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Strong AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities High-autonomy engineering environment Opportunity to build both product and infrastructure systems end-to-end
Aug 27, 2026
Full time
Founding Engineer, Infrastructure & Platform London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: 6+ years Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Risk Infrastructure Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Build systems used by customers across financial services, regulated technology, and healthcare Own both core backend services and the infrastructure foundations they run on Shape a platform where security, compliance, reliability, and enterprise trust are critical to winning customers Work directly on architecture that supports multi-year enterprise deployments Operate with founding-team levels of ownership and autonomy Partner closely with company leadership on technical direction and platform evolution What you'll own Build and own backend services across the platform Develop APIs, asynchronous workflows, and core data models Design and maintain cloud infrastructure foundations Own Infrastructure as Code using Terraform Design secure multi-tenant isolation across compute, data, and network layers Own deployment pipelines and CI/CD infrastructure Build and maintain observability systems Establish and improve production on-call practices Develop infrastructure for long-running AI agent workloads Build systems for large-scale document processing Design secure execution environments for AI tools and agents Automate compliance evidence collection Build infrastructure supporting SOC 2, ISO 27001, and similar frameworks Develop internal tooling that allows engineers to ship quickly without compromising security or reliability What we're looking for 6+ years of backend engineering experience Significant infrastructure ownership in production environments Strong professional experience with a backend programming language Strong TypeScript or Node.js experience preferred Production experience with Terraform Strong CI/CD experience Experience with containerized production workloads Strong understanding of cloud infrastructure Experience owning systems through deployment and production operations Strong security fundamentals Experience with IAM and access-control architecture Experience with network segmentation Strong understanding of secrets management Awareness of software supply-chain security Experience designing and implementing compliance controls Hands-on ownership of SOC 2, ISO 27001, or comparable compliance programs Operational maturity from supporting production systems that matter Ability to balance rapid product delivery with security and reliability requirements High level of autonomy and technical ownership Particularly valuable experience Azure Azure Container Apps Azure Service Bus Azure Front Door Entra ID Multi-tenant SaaS infrastructure Compute isolation Data isolation Network isolation Audit-sensitive enterprise products GitHub Actions Docker Postgres AKS Production-grade AI infrastructure LLM platforms RAG systems Agentic workflows Secure AI tool execution High-volume document-processing systems Strong profile signals Former founder or technical founder Former CTO returning to an individual-contributor role Founding or early-stage engineering experience Strong product-engineering mindset History of owning architecture as well as implementation Experience shipping backend systems directly used by customers Startup-style production ownership Side projects or evidence of independent technical building Technical talks, open-source work, or other evidence of deep engineering interest Experience working in environments where reliability and compliance directly affect commercial outcomes Strong AI-first development mindset Comfortable using AI coding tools such as Claude Code or equivalent This role may not be the right fit if you Have primarily front-end engineering experience Lack meaningful backend or infrastructure ownership Have worked exclusively in cybersecurity without hands-on product engineering Have primarily Developer Relations or Developer Experience experience Have spent your career only on internal tooling without customer-facing product impact Have limited experience operating production systems Have no practical Infrastructure as Code or CI/CD experience Have only participated in compliance processes rather than designing and implementing controls Prefer highly specialized infrastructure work without broader product ownership Prefer large-company structures with narrowly defined responsibilities Are not comfortable working primarily on-site in London What you'll get Founding-level technical ownership Significant influence over platform architecture Direct impact on which enterprise customers the company can support Opportunity to build secure, production-grade AI infrastructure from an early stage Exposure to complex enterprise security and compliance requirements Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Strong AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities High-autonomy engineering environment Opportunity to build both product and infrastructure systems end-to-end
NodeJS Backend Developer required by a a growing SaaS software business, working as part of a fast-moving product and engineering team. The role will focus on the design and development of scalable backend services using NodeJS and TypeScript, with the opportunity to take ownership of features from initial design through to production click apply for full job details
Aug 27, 2026
Full time
NodeJS Backend Developer required by a a growing SaaS software business, working as part of a fast-moving product and engineering team. The role will focus on the design and development of scalable backend services using NodeJS and TypeScript, with the opportunity to take ownership of features from initial design through to production click apply for full job details
Backend Software Engineer / Developer (Python AWS) London / WFH to £130k Are you a Backend Software Engineer with experience working in a Front Office trading environment? This is an opportunity to join the Asset Management division of a global Japanese bank, playing a key role as they continue to expand their product offering in the UK click apply for full job details
Aug 27, 2026
Full time
Backend Software Engineer / Developer (Python AWS) London / WFH to £130k Are you a Backend Software Engineer with experience working in a Front Office trading environment? This is an opportunity to join the Asset Management division of a global Japanese bank, playing a key role as they continue to expand their product offering in the UK click apply for full job details
hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION We are seeking an experienced Senior Python Developer to join our Athena Rates development team to work on Risk and PnL framework in Rates LOB. In this role, you will architect, design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products click apply for full job details
Aug 27, 2026
Full time
hackajob is partnering directly with JPMorganChase to hire for this role. JOB DESCRIPTION We are seeking an experienced Senior Python Developer to join our Athena Rates development team to work on Risk and PnL framework in Rates LOB. In this role, you will architect, design, develop, and integrate sophisticated solutions that support trading desks and back office functions across rates products click apply for full job details
Clojure Software Developer - Cambridge Fully remote working 6 Months Contract Clojure development experience is essential! Competitive day rates We are looking for an experienced Clojure Software Engineer to join a software development team responsible for a suite of Clojure-based web applications, APIs and supporting services click apply for full job details
Aug 27, 2026
Contractor
Clojure Software Developer - Cambridge Fully remote working 6 Months Contract Clojure development experience is essential! Competitive day rates We are looking for an experienced Clojure Software Engineer to join a software development team responsible for a suite of Clojure-based web applications, APIs and supporting services click apply for full job details
Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products. We're looking for an AI Software Engineer with strong C# .NET experience to join the team and help turn emerging AI capabilities into genuine, production-ready product features. This is an ideal opportunity for a developer who combines strong software engineering fundamentals with hands-on LLM experience and enjoys working in an environment where things move quickly. You'll be taking AI concepts from initial idea and experimentation through to fully integrated, evaluated features within established .NET products. The Role You'll be responsible for building AI-powered capabilities across the product portfolio, working with LLMs, prompt engineering, context design and structured outputs , while ensuring everything you build is robust enough for production. You'll be expected to prototype quickly, but equally importantly, understand where engineering discipline is essential. That means thinking about accuracy, reliability, latency, cost, monitoring, fallbacks and evaluation rather than simply getting an AI feature to work in a demo. You'll work closely with existing engineering teams, Product Managers, Product Owners and subject matter experts to understand the business problem before deciding on the technical solution. Key Responsibilities Design and build prompts, context strategies and LLM integrations for real-world product features. Develop primarily in C# .NET , integrating AI capabilities into established codebases. Build production-grade AI services with appropriate error handling, fallbacks, monitoring and logging. Prototype new ideas quickly and turn successful experiments into robust production features. Develop structured approaches to evaluating LLM outputs , using real business scenarios and measurable results. Work with LLM APIs across different providers and make pragmatic decisions around quality, cost and latency. Use AI coding tools such as GitHub Copilot, Cursor or equivalent as part of your day-to-day development. Work alongside existing engineering teams to ensure your solutions fit established coding standards, architecture and deployment pipelines. Keep pace with the rapidly changing AI ecosystem and share new approaches and learning with colleagues. Work with Product and subject matter experts to understand the underlying business problem rather than simply responding to a technical requirement. Ensure AI features are developed with appropriate consideration for accuracy, safety and data handling . Skills and Experience Required You'll need to be a strong software engineer first and foremost, with genuine commercial experience building with AI. We're particularly interested in people who can demonstrate: Strong commercial C# .NET development experience , ideally working within established and potentially long-lived codebases. Hands-on experience building applications using Large Language Models , beyond tutorials or experimentation. Strong knowledge of prompt engineering, context engineering and structured outputs . Experience taking ideas from concept through to working software quickly. Experience evaluating or testing LLM outputs using structured approaches, datasets or real-world business scenarios. Daily experience using AI-assisted development tools such as GitHub Copilot, Cursor or similar . A pragmatic approach to software engineering - knowing when to move quickly and when production quality cannot be compromised. The ability to understand and articulate the business problem behind the technology you're building. It would be advantageous if you also have experience with: RAG (Retrieval-Augmented Generation) Agentic workflows and tool use Vector databases/search and embeddings LLM APIs from multiple providers AI evaluation frameworks and automated quality pipelines Modernising or extending long-established software platforms SaaS environments Distributive trades, rental, retail, automotive aftermarket or garage management This isn't a role where you'll spend months working on theoretical AI projects that never reach customers. You'll have the opportunity to build, ship and see your work used in real products . The expectation is that successful ideas can move from concept to production in weeks, while still meeting the standards expected of business-critical software. You'll also have the opportunity to influence how AI is adopted across the wider engineering organisation, sharing your knowledge and helping other developers understand what genuinely works. Within your first six months, you'll ideally have: Shipped an AI capability into an established product with meaningful evaluation behind it. Taken an AI idea from concept to customers within weeks rather than quarters. Used evaluation data to influence product or technical decisions - including being prepared to stop something that simply isn't good enough. Introduced new AI development techniques that other engineers have adopted. Demonstrated a clear understanding of the commercial problem you're solving, not just the technology you're using. If you're a C# .NET developer who is already building with LLMs and wants to work somewhere that is genuinely putting AI into production, we'd be very interested in hearing from you. Apply now or contact Apache Associates for a confidential discussion.
Aug 27, 2026
Full time
Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products. We're looking for an AI Software Engineer with strong C# .NET experience to join the team and help turn emerging AI capabilities into genuine, production-ready product features. This is an ideal opportunity for a developer who combines strong software engineering fundamentals with hands-on LLM experience and enjoys working in an environment where things move quickly. You'll be taking AI concepts from initial idea and experimentation through to fully integrated, evaluated features within established .NET products. The Role You'll be responsible for building AI-powered capabilities across the product portfolio, working with LLMs, prompt engineering, context design and structured outputs , while ensuring everything you build is robust enough for production. You'll be expected to prototype quickly, but equally importantly, understand where engineering discipline is essential. That means thinking about accuracy, reliability, latency, cost, monitoring, fallbacks and evaluation rather than simply getting an AI feature to work in a demo. You'll work closely with existing engineering teams, Product Managers, Product Owners and subject matter experts to understand the business problem before deciding on the technical solution. Key Responsibilities Design and build prompts, context strategies and LLM integrations for real-world product features. Develop primarily in C# .NET , integrating AI capabilities into established codebases. Build production-grade AI services with appropriate error handling, fallbacks, monitoring and logging. Prototype new ideas quickly and turn successful experiments into robust production features. Develop structured approaches to evaluating LLM outputs , using real business scenarios and measurable results. Work with LLM APIs across different providers and make pragmatic decisions around quality, cost and latency. Use AI coding tools such as GitHub Copilot, Cursor or equivalent as part of your day-to-day development. Work alongside existing engineering teams to ensure your solutions fit established coding standards, architecture and deployment pipelines. Keep pace with the rapidly changing AI ecosystem and share new approaches and learning with colleagues. Work with Product and subject matter experts to understand the underlying business problem rather than simply responding to a technical requirement. Ensure AI features are developed with appropriate consideration for accuracy, safety and data handling . Skills and Experience Required You'll need to be a strong software engineer first and foremost, with genuine commercial experience building with AI. We're particularly interested in people who can demonstrate: Strong commercial C# .NET development experience , ideally working within established and potentially long-lived codebases. Hands-on experience building applications using Large Language Models , beyond tutorials or experimentation. Strong knowledge of prompt engineering, context engineering and structured outputs . Experience taking ideas from concept through to working software quickly. Experience evaluating or testing LLM outputs using structured approaches, datasets or real-world business scenarios. Daily experience using AI-assisted development tools such as GitHub Copilot, Cursor or similar . A pragmatic approach to software engineering - knowing when to move quickly and when production quality cannot be compromised. The ability to understand and articulate the business problem behind the technology you're building. It would be advantageous if you also have experience with: RAG (Retrieval-Augmented Generation) Agentic workflows and tool use Vector databases/search and embeddings LLM APIs from multiple providers AI evaluation frameworks and automated quality pipelines Modernising or extending long-established software platforms SaaS environments Distributive trades, rental, retail, automotive aftermarket or garage management This isn't a role where you'll spend months working on theoretical AI projects that never reach customers. You'll have the opportunity to build, ship and see your work used in real products . The expectation is that successful ideas can move from concept to production in weeks, while still meeting the standards expected of business-critical software. You'll also have the opportunity to influence how AI is adopted across the wider engineering organisation, sharing your knowledge and helping other developers understand what genuinely works. Within your first six months, you'll ideally have: Shipped an AI capability into an established product with meaningful evaluation behind it. Taken an AI idea from concept to customers within weeks rather than quarters. Used evaluation data to influence product or technical decisions - including being prepared to stop something that simply isn't good enough. Introduced new AI development techniques that other engineers have adopted. Demonstrated a clear understanding of the commercial problem you're solving, not just the technology you're using. If you're a C# .NET developer who is already building with LLMs and wants to work somewhere that is genuinely putting AI into production, we'd be very interested in hearing from you. Apply now or contact Apache Associates for a confidential discussion.
Ecs Resource Group Ltd
Cheltenham, Gloucestershire
Senior Developer Location: Cheltenham (Hybrid) Salary: 65k As a Senior Developer, you will play a key role in supporting, maintaining, and evolving our core business systems and integrations. Working within the Business Systems team, you will deliver reliable, scalable solutions that support day-to-day operations, improve user experience, and enable business growth. This is a hands-on, varied role combining development, database optimisation, and systems integration. You will collaborate closely with stakeholders across the business, contributing to both new initiatives and continuous improvement of existing platforms. Your responsibilities as a Senior Developer will be: Develop, maintain, and enhance business applications, integrations, and internal systems, ensuring solutions are scalable, reliable, and user-focused. Work closely with stakeholders to understand requirements, provide technical guidance, and deliver pragmatic solutions aligned to business needs. Support and improve existing systems by troubleshooting issues, optimising performance, and enhancing usability and stability. Design and deliver system integrations (APIs, middleware, data exchange), ensuring robustness, security, and effective data flow between platforms. Take ownership of database performance, including schema design, query optimisation, indexing strategies, and data integrity. Manage and support data processes such as imports, exports, transformation, and reconciliation across multiple systems. Contribute across the full development lifecycle, including design, development, testing, deployment, and ongoing support. Support release management, version control, and deployment processes to ensure controlled and stable system changes. Collaborate with internal teams and third-party suppliers to ensure systems and integrations operate effectively. Contribute to continuous improvement by modernising legacy systems and adopting best practice development approaches. Explore and implement opportunities to leverage AI and automation technologies to improve system efficiency, data usage and business processes, ensuring solutions are practical, secure and aligned with business needs. About you: You will have strong experience in software development using Microsoft technologies (C#, .NET, SQL Server). Experience with full Microsoft development stack including WPF and Windows forms. Server integrations such as OData, WCF and other REST APIs Solid understanding of the full development lifecycle, including support and continuous improvement. Proven expertise in SQL Server, including performance tuning, database design, and query optimisation. Experience with integrations, APIs, middleware (e.g. Connex or similar), and data flows (ETL, transformation, mapping). Ability to troubleshoot complex system and data issues across interconnected platforms. ECS Recruitment Group Ltd is acting as an Employment Agency in relation to this vacancy.
Aug 27, 2026
Full time
Senior Developer Location: Cheltenham (Hybrid) Salary: 65k As a Senior Developer, you will play a key role in supporting, maintaining, and evolving our core business systems and integrations. Working within the Business Systems team, you will deliver reliable, scalable solutions that support day-to-day operations, improve user experience, and enable business growth. This is a hands-on, varied role combining development, database optimisation, and systems integration. You will collaborate closely with stakeholders across the business, contributing to both new initiatives and continuous improvement of existing platforms. Your responsibilities as a Senior Developer will be: Develop, maintain, and enhance business applications, integrations, and internal systems, ensuring solutions are scalable, reliable, and user-focused. Work closely with stakeholders to understand requirements, provide technical guidance, and deliver pragmatic solutions aligned to business needs. Support and improve existing systems by troubleshooting issues, optimising performance, and enhancing usability and stability. Design and deliver system integrations (APIs, middleware, data exchange), ensuring robustness, security, and effective data flow between platforms. Take ownership of database performance, including schema design, query optimisation, indexing strategies, and data integrity. Manage and support data processes such as imports, exports, transformation, and reconciliation across multiple systems. Contribute across the full development lifecycle, including design, development, testing, deployment, and ongoing support. Support release management, version control, and deployment processes to ensure controlled and stable system changes. Collaborate with internal teams and third-party suppliers to ensure systems and integrations operate effectively. Contribute to continuous improvement by modernising legacy systems and adopting best practice development approaches. Explore and implement opportunities to leverage AI and automation technologies to improve system efficiency, data usage and business processes, ensuring solutions are practical, secure and aligned with business needs. About you: You will have strong experience in software development using Microsoft technologies (C#, .NET, SQL Server). Experience with full Microsoft development stack including WPF and Windows forms. Server integrations such as OData, WCF and other REST APIs Solid understanding of the full development lifecycle, including support and continuous improvement. Proven expertise in SQL Server, including performance tuning, database design, and query optimisation. Experience with integrations, APIs, middleware (e.g. Connex or similar), and data flows (ETL, transformation, mapping). Ability to troubleshoot complex system and data issues across interconnected platforms. ECS Recruitment Group Ltd is acting as an Employment Agency in relation to this vacancy.
Kick-start your career with an exciting and fast-paced graduate development programme from the UK's largest B2B supplier of electrical equipment. Enjoy excellent rewards, hands-on learning and a clear pathway into sales leadership and business management. What's on Offer: 31,000 - 33,000 starting salary Two pay rises in your first year Profit share bonus + up to 1,800 tax-free training bonuses 25 days' holiday + matched employer pension contributions Fast progression into B2B sales and management Industry-leading, accredited training and mentorship Highly sociable company culture with opportunities to network with clients at events such as, golf days, football matches and motorsport About the Company This market-leading group is committed to developing future leaders. Their long-running graduate programme is designed for ambitious, commercially-focused graduates who want to learn how a successful business operates and progress into high-earning sales and management roles. The Role As a Graduate Trainee, you'll learn the business from the ground up, build strong customer relationships and progress into a field sales and business management position. Graduate Training Programme: First 6 Months Develop core knowledge of how the business operates - warehouse, logistics, supply chain, administration, IT software, and marketing. Build a deep understanding of the product range and the electrical wholesale industry. Start building relationships, making deals and advising customers face-to-face over the trade counter, e.g. electricians, contractors and tradespeople. Begin your formal sales training course, attend Head Office training and network with other Graduate Trainees. Complete workbook assessments and earn training bonuses for your progress. 6-12 Months Move into internal sales/account management, engaging with B2B customers by phone, g. construction companies, local government authorities, housing developers and hotels. Learn business development strategies and how to target and win new key accounts. 12 Months and Beyond Progress to a varied B2B field sales management role with higher earning potential. Travel locally in your company car to meet clients, socialise, discuss projects and build strong relationships. Work towards running your own business within the group, gaining experience in staff management, purchasing and profit and loss. Managers enjoy significant autonomy thanks to the company's decentralised structure. You must have: A full UK driving licence The ability to start a full-time role immediately Apply Today to Find Out More If you're driven, confident and ready to take on responsibility, this programme gives you everything you need to build a successful career in sales and management.
Aug 27, 2026
Full time
Kick-start your career with an exciting and fast-paced graduate development programme from the UK's largest B2B supplier of electrical equipment. Enjoy excellent rewards, hands-on learning and a clear pathway into sales leadership and business management. What's on Offer: 31,000 - 33,000 starting salary Two pay rises in your first year Profit share bonus + up to 1,800 tax-free training bonuses 25 days' holiday + matched employer pension contributions Fast progression into B2B sales and management Industry-leading, accredited training and mentorship Highly sociable company culture with opportunities to network with clients at events such as, golf days, football matches and motorsport About the Company This market-leading group is committed to developing future leaders. Their long-running graduate programme is designed for ambitious, commercially-focused graduates who want to learn how a successful business operates and progress into high-earning sales and management roles. The Role As a Graduate Trainee, you'll learn the business from the ground up, build strong customer relationships and progress into a field sales and business management position. Graduate Training Programme: First 6 Months Develop core knowledge of how the business operates - warehouse, logistics, supply chain, administration, IT software, and marketing. Build a deep understanding of the product range and the electrical wholesale industry. Start building relationships, making deals and advising customers face-to-face over the trade counter, e.g. electricians, contractors and tradespeople. Begin your formal sales training course, attend Head Office training and network with other Graduate Trainees. Complete workbook assessments and earn training bonuses for your progress. 6-12 Months Move into internal sales/account management, engaging with B2B customers by phone, g. construction companies, local government authorities, housing developers and hotels. Learn business development strategies and how to target and win new key accounts. 12 Months and Beyond Progress to a varied B2B field sales management role with higher earning potential. Travel locally in your company car to meet clients, socialise, discuss projects and build strong relationships. Work towards running your own business within the group, gaining experience in staff management, purchasing and profit and loss. Managers enjoy significant autonomy thanks to the company's decentralised structure. You must have: A full UK driving licence The ability to start a full-time role immediately Apply Today to Find Out More If you're driven, confident and ready to take on responsibility, this programme gives you everything you need to build a successful career in sales and management.
Founding Engineer, Agent Systems London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: Typically 6-7+ years, with flexibility for exceptional AI-native profiles Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Agent Systems Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Work on production AI systems used across financial services, regulated technology, and healthcare Own the agent platform powering customer-facing AI features Build the orchestration, evaluation, and reliability layers around frontier LLMs Turn model capabilities into production systems that domain experts can trust Set engineering standards for when AI features are reliable enough to ship Operate with founding-team levels of ownership and technical influence Work in a company already generating seven-figure revenue through multi-year enterprise contracts What you'll own Build and evolve the core agent orchestration platform Design multi-step agent workflows and tool-calling systems Build context-management and agent-scaffolding infrastructure Develop secure sandboxing for agent execution Implement prompt-injection defenses and other agent-security controls Build production evaluation frameworks for fuzzy, high-stakes outputs Curate evaluation datasets and regression suites Design and improve LLM-as-judge systems Evaluate model performance across upgrades and provider changes Build retries, fallbacks, and circuit-breaker mechanisms Own prompt versioning and AI-quality infrastructure Design systems around async processing, queues, and idempotency Define the internal standard for production AI quality Own AI reliability and make ship/no-ship decisions when necessary What we're looking for Strong professional backend engineering experience 1-2+ years of experience shipping production LLM-powered features Strong TypeScript or Node.js experience Experience building customer-facing production AI systems Hands-on experience with agent frameworks Experience with tool calling and multi-step orchestration Production experience building AI evaluations Experience with dataset curation and regression testing Understanding of LLM-as-judge approaches and failure modes Strong systems-thinking ability Experience with asynchronous systems and queues Understanding of idempotency and reliability patterns Strong product-engineering mindset Ability to own features from customer problem through production deployment High level of autonomy and accountability Based in London or able to commute regularly for an on-site-first role Particularly valuable experience Anthropic APIs OpenAI APIs Open-weight models Production LLM workloads at scale Agent orchestration frameworks AI evaluation infrastructure Model fallback architecture Prompt versioning Prompt-injection defense Agent security Sandboxed tool execution Production RAG systems High-stakes AI applications Compliance Governance, Risk and Compliance (GRC) Audit technology Cybersecurity Financial services Regulated enterprise software Strong profile signals Former founder or technical founder Former CTO returning to hands-on engineering Founding or early-stage engineering experience Experience at a high-growth product company Experience at a leading technology or AI organization Significant independent AI projects or side projects Strong evidence of product ownership History of shipping customer-facing systems end-to-end AI-native development workflow Heavy use of coding agents such as Claude Code or equivalent Ability to move between product, backend, AI systems, and reliability work Strong technical judgment rather than purely research-oriented expertise This role may not be the right fit if you Have exclusively front-end or front-end-first engineering experience Have a purely AI research background without production software engineering ownership Have worked primarily in Developer Relations or Developer Experience Have only built internal AI tools rather than customer-facing production systems Lack meaningful backend engineering experience Have AI experience limited to prototypes or demos Prefer research over shipping production products Lack experience taking ownership of production reliability Prefer narrowly scoped engineering responsibilities Are uncomfortable making judgment calls around AI quality and production readiness Are not comfortable working primarily on-site in London Technical environment TypeScript Node.js React Tailwind Express Azure Postgres Terraform GitHub Actions Docker Anthropic-first AI stack Claude Code What you'll get Founding-level ownership of the agent platform Significant influence over AI architecture and engineering standards Opportunity to build production-grade agent systems from an early stage Direct impact on customer-facing AI quality and reliability Exposure to frontier LLM APIs in demanding production environments Work on technically difficult evaluation and reliability problems Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Significant AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities Fast-moving engineering environment with high autonomy
Aug 27, 2026
Full time
Founding Engineer, Agent Systems London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: Typically 6-7+ years, with flexibility for exceptional AI-native profiles Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Agent Systems Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Work on production AI systems used across financial services, regulated technology, and healthcare Own the agent platform powering customer-facing AI features Build the orchestration, evaluation, and reliability layers around frontier LLMs Turn model capabilities into production systems that domain experts can trust Set engineering standards for when AI features are reliable enough to ship Operate with founding-team levels of ownership and technical influence Work in a company already generating seven-figure revenue through multi-year enterprise contracts What you'll own Build and evolve the core agent orchestration platform Design multi-step agent workflows and tool-calling systems Build context-management and agent-scaffolding infrastructure Develop secure sandboxing for agent execution Implement prompt-injection defenses and other agent-security controls Build production evaluation frameworks for fuzzy, high-stakes outputs Curate evaluation datasets and regression suites Design and improve LLM-as-judge systems Evaluate model performance across upgrades and provider changes Build retries, fallbacks, and circuit-breaker mechanisms Own prompt versioning and AI-quality infrastructure Design systems around async processing, queues, and idempotency Define the internal standard for production AI quality Own AI reliability and make ship/no-ship decisions when necessary What we're looking for Strong professional backend engineering experience 1-2+ years of experience shipping production LLM-powered features Strong TypeScript or Node.js experience Experience building customer-facing production AI systems Hands-on experience with agent frameworks Experience with tool calling and multi-step orchestration Production experience building AI evaluations Experience with dataset curation and regression testing Understanding of LLM-as-judge approaches and failure modes Strong systems-thinking ability Experience with asynchronous systems and queues Understanding of idempotency and reliability patterns Strong product-engineering mindset Ability to own features from customer problem through production deployment High level of autonomy and accountability Based in London or able to commute regularly for an on-site-first role Particularly valuable experience Anthropic APIs OpenAI APIs Open-weight models Production LLM workloads at scale Agent orchestration frameworks AI evaluation infrastructure Model fallback architecture Prompt versioning Prompt-injection defense Agent security Sandboxed tool execution Production RAG systems High-stakes AI applications Compliance Governance, Risk and Compliance (GRC) Audit technology Cybersecurity Financial services Regulated enterprise software Strong profile signals Former founder or technical founder Former CTO returning to hands-on engineering Founding or early-stage engineering experience Experience at a high-growth product company Experience at a leading technology or AI organization Significant independent AI projects or side projects Strong evidence of product ownership History of shipping customer-facing systems end-to-end AI-native development workflow Heavy use of coding agents such as Claude Code or equivalent Ability to move between product, backend, AI systems, and reliability work Strong technical judgment rather than purely research-oriented expertise This role may not be the right fit if you Have exclusively front-end or front-end-first engineering experience Have a purely AI research background without production software engineering ownership Have worked primarily in Developer Relations or Developer Experience Have only built internal AI tools rather than customer-facing production systems Lack meaningful backend engineering experience Have AI experience limited to prototypes or demos Prefer research over shipping production products Lack experience taking ownership of production reliability Prefer narrowly scoped engineering responsibilities Are uncomfortable making judgment calls around AI quality and production readiness Are not comfortable working primarily on-site in London Technical environment TypeScript Node.js React Tailwind Express Azure Postgres Terraform GitHub Actions Docker Anthropic-first AI stack Claude Code What you'll get Founding-level ownership of the agent platform Significant influence over AI architecture and engineering standards Opportunity to build production-grade agent systems from an early stage Direct impact on customer-facing AI quality and reliability Exposure to frontier LLM APIs in demanding production environments Work on technically difficult evaluation and reliability problems Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Significant AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities Fast-moving engineering environment with high autonomy
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company - from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space, with a particular focus on detecting and preventing abuse of ElevenLabs' free tiers. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements Direct experience tackling free-tier abuse, fraud detection, or fake-account / bot farming at scale 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
Aug 27, 2026
Full time
About ElevenLabs ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $11B - multiples of 11, always. We have expanded from voice into three main platforms: ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. How we work High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. Impact not job titles: We don't have job titles. Instead, it's about the impact you have. No task is above or beneath you. AI first: We use AI to move faster with higher-quality results. We do this across the whole company - from engineering to growth to operations. Excellence everywhere: Everything we do should match the quality of our AI models. Global team: We prioritize your talent, not your location. What we offer Innovative culture: You'll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what's possible. Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. Learning & development Learning & development : ElevenLabs proactively supports professional development through an annual discretionary stipend. Social travel : We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy. Co-working : If you're not located near one of our main hubs, we offer a monthly co-working stipend. About the role We're looking for an experienced AI Safety Engineer to drive the deployment and operationalization of automated moderation and guardrail systems that protect our platform and users across a multimodal space, with a particular focus on detecting and preventing abuse of ElevenLabs' free tiers. You'll work alongside a team of ML and full stack engineers to build production-grade safety infrastructure from the ground up. This is a product ownership role where you'll be responsible for end-to-end technical execution of our safety systems, from architecture to deployment and monitoring. You'll bridge the gap between ML research and production-grade systems, ensuring our safety infrastructure is robust, observable, and scalable. What you'll do: Design and build scalable backend infrastructure for abuse detection, deploying AI/ML models into production systems Architect robust APIs, data pipelines, and service architectures supporting real-time and batch moderation workflows Implement comprehensive monitoring, alerting, and observability systems; establish SLIs, SLOs, and performance benchmarks Partner with ML engineers to translate research models into production-ready systems and integrate them across our product suite Drive technical decisions and contribute vision to the safety roadmap on how the next generation of platform guardrails should be built for scale and precision. Requirements Direct experience tackling free-tier abuse, fraud detection, or fake-account / bot farming at scale 6+ years of backend software engineering experience building production systems at scale Strong production backend experience: distributed systems, APIs, data pipelines, and Python expertise (asynchronous Python, backend frameworks) Infrastructure & DevOps proficiency: cloud platforms (AWS/GCP), containerization (Docker/K8s), CI/CD pipelines Observability mindset with experience in monitoring tools (Prometheus, Grafana) and building observable systems Track record of taking products or systems from 0 1 with measurable impact, including deploying or working alongside ML/AI systems in production Bonus: Trust & Safety, Content Moderation, or Integrity engineering experience MLOps experience: deployment, monitoring, and versioning of ML models Experience with SQL, data analysis tools, real-time streaming systems (Kafka, Redis), or event-driven architectures Familiarity with React or modern frontend frameworks Location This role is remote and can be executed globally. If you prefer, you can work from our offices in London, New York, San Francisco, and Warsaw. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.
AI Software Engineer, Firebase, GCP, COR7557A An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
Aug 27, 2026
Full time
AI Software Engineer, Firebase, GCP, COR7557A An exceptional opportunity for an AI Software Engineer to join an early stage start-up, building a workflow and intelligence platform powered by agentic AI, multimodal analysis and domain-specific insight. This is a hands-on lead engineering role, with a clear path to CTO as the company scales - an Engineer who wants to lead. What will I be doing? Building on Firebase, using Claude API and leading LLMs, the AI Software Engineer will build the end-to-end architecture, security, performance and integration. Working closely with the Head of Product, the AI Software Engineer will take well-defined specs and prototypes (Replit) and turn them into production-quality code. As the company grows, the AI Software Engineer will start building the engineering function - hiring, structuring, mentoring. The expectation is that the AI Software Engineer will grow into the CTO role as the team and product scales. What do I need? Deep Firebase expertise (Firestore, Cloud Run, Auth, Security Rules), having built production systems, not just prototypes Demonstrable experience of building and deploying complex AI applications using LLMs and ideally, agentic workflows A familiarity with vector databases (pgvector, ChromaDB, Pinecone or similar) is a plus Benefits include: Flexibility - the team works fully remotely, albeit with frequent meetups to share ideas Stock options Excellent opportunities for progression and development, as part of a rapidly scaling company So What's Next? If you are an experienced AI Software developer, keen to progress into a CTO role and would like to learn more, please apply below and I will be in touch with you shortly to discuss the role further Corriculo Ltd acts as an employment agency and an employment business. ,
Backend Software Engineer / Developer London / WFH to £80k Are you a backend focused technologist who enjoys problem solving and working on complex systems at the cutting edge of technology? You could be progressing your career as a Backend Software Engineer at the world's most advanced cybersecurity technology business that uses AI technology to protect clients across the globe from advanced cyber click apply for full job details
Aug 27, 2026
Full time
Backend Software Engineer / Developer London / WFH to £80k Are you a backend focused technologist who enjoys problem solving and working on complex systems at the cutting edge of technology? You could be progressing your career as a Backend Software Engineer at the world's most advanced cybersecurity technology business that uses AI technology to protect clients across the globe from advanced cyber click apply for full job details
Founding Engineer, Infrastructure & Platform London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: 6+ years Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Risk Infrastructure Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Build systems used by customers across financial services, regulated technology, and healthcare Own both core backend services and the infrastructure foundations they run on Shape a platform where security, compliance, reliability, and enterprise trust are critical to winning customers Work directly on architecture that supports multi-year enterprise deployments Operate with founding-team levels of ownership and autonomy Partner closely with company leadership on technical direction and platform evolution What you'll own Build and own backend services across the platform Develop APIs, asynchronous workflows, and core data models Design and maintain cloud infrastructure foundations Own Infrastructure as Code using Terraform Design secure multi-tenant isolation across compute, data, and network layers Own deployment pipelines and CI/CD infrastructure Build and maintain observability systems Establish and improve production on-call practices Develop infrastructure for long-running AI agent workloads Build systems for large-scale document processing Design secure execution environments for AI tools and agents Automate compliance evidence collection Build infrastructure supporting SOC 2, ISO 27001, and similar frameworks Develop internal tooling that allows engineers to ship quickly without compromising security or reliability What we're looking for 6+ years of backend engineering experience Significant infrastructure ownership in production environments Strong professional experience with a backend programming language Strong TypeScript or Node.js experience preferred Production experience with Terraform Strong CI/CD experience Experience with containerized production workloads Strong understanding of cloud infrastructure Experience owning systems through deployment and production operations Strong security fundamentals Experience with IAM and access-control architecture Experience with network segmentation Strong understanding of secrets management Awareness of software supply-chain security Experience designing and implementing compliance controls Hands-on ownership of SOC 2, ISO 27001, or comparable compliance programs Operational maturity from supporting production systems that matter Ability to balance rapid product delivery with security and reliability requirements High level of autonomy and technical ownership Particularly valuable experience Azure Azure Container Apps Azure Service Bus Azure Front Door Entra ID Multi-tenant SaaS infrastructure Compute isolation Data isolation Network isolation Audit-sensitive enterprise products GitHub Actions Docker Postgres AKS Production-grade AI infrastructure LLM platforms RAG systems Agentic workflows Secure AI tool execution High-volume document-processing systems Strong profile signals Former founder or technical founder Former CTO returning to an individual-contributor role Founding or early-stage engineering experience Strong product-engineering mindset History of owning architecture as well as implementation Experience shipping backend systems directly used by customers Startup-style production ownership Side projects or evidence of independent technical building Technical talks, open-source work, or other evidence of deep engineering interest Experience working in environments where reliability and compliance directly affect commercial outcomes Strong AI-first development mindset Comfortable using AI coding tools such as Claude Code or equivalent This role may not be the right fit if you Have primarily front-end engineering experience Lack meaningful backend or infrastructure ownership Have worked exclusively in cybersecurity without hands-on product engineering Have primarily Developer Relations or Developer Experience experience Have spent your career only on internal tooling without customer-facing product impact Have limited experience operating production systems Have no practical Infrastructure as Code or CI/CD experience Have only participated in compliance processes rather than designing and implementing controls Prefer highly specialized infrastructure work without broader product ownership Prefer large-company structures with narrowly defined responsibilities Are not comfortable working primarily on-site in London What you'll get Founding-level technical ownership Significant influence over platform architecture Direct impact on which enterprise customers the company can support Opportunity to build secure, production-grade AI infrastructure from an early stage Exposure to complex enterprise security and compliance requirements Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Strong AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities High-autonomy engineering environment Opportunity to build both product and infrastructure systems end-to-end
Aug 27, 2026
Full time
Founding Engineer, Infrastructure & Platform London Location: King's Cross, London Work model: On-site by default, with some flexibility Employment: Full-time Level: Mid-Senior / Founding Engineer Experience: 6+ years Estimated compensation: £130,000-£170,000 +Equity Industry: Enterprise AI / Risk Infrastructure Environment: Seed-stage, high-growth startup About the opportunity Join a seed-stage company building AI-native risk infrastructure for regulated enterprises Build systems used by customers across financial services, regulated technology, and healthcare Own both core backend services and the infrastructure foundations they run on Shape a platform where security, compliance, reliability, and enterprise trust are critical to winning customers Work directly on architecture that supports multi-year enterprise deployments Operate with founding-team levels of ownership and autonomy Partner closely with company leadership on technical direction and platform evolution What you'll own Build and own backend services across the platform Develop APIs, asynchronous workflows, and core data models Design and maintain cloud infrastructure foundations Own Infrastructure as Code using Terraform Design secure multi-tenant isolation across compute, data, and network layers Own deployment pipelines and CI/CD infrastructure Build and maintain observability systems Establish and improve production on-call practices Develop infrastructure for long-running AI agent workloads Build systems for large-scale document processing Design secure execution environments for AI tools and agents Automate compliance evidence collection Build infrastructure supporting SOC 2, ISO 27001, and similar frameworks Develop internal tooling that allows engineers to ship quickly without compromising security or reliability What we're looking for 6+ years of backend engineering experience Significant infrastructure ownership in production environments Strong professional experience with a backend programming language Strong TypeScript or Node.js experience preferred Production experience with Terraform Strong CI/CD experience Experience with containerized production workloads Strong understanding of cloud infrastructure Experience owning systems through deployment and production operations Strong security fundamentals Experience with IAM and access-control architecture Experience with network segmentation Strong understanding of secrets management Awareness of software supply-chain security Experience designing and implementing compliance controls Hands-on ownership of SOC 2, ISO 27001, or comparable compliance programs Operational maturity from supporting production systems that matter Ability to balance rapid product delivery with security and reliability requirements High level of autonomy and technical ownership Particularly valuable experience Azure Azure Container Apps Azure Service Bus Azure Front Door Entra ID Multi-tenant SaaS infrastructure Compute isolation Data isolation Network isolation Audit-sensitive enterprise products GitHub Actions Docker Postgres AKS Production-grade AI infrastructure LLM platforms RAG systems Agentic workflows Secure AI tool execution High-volume document-processing systems Strong profile signals Former founder or technical founder Former CTO returning to an individual-contributor role Founding or early-stage engineering experience Strong product-engineering mindset History of owning architecture as well as implementation Experience shipping backend systems directly used by customers Startup-style production ownership Side projects or evidence of independent technical building Technical talks, open-source work, or other evidence of deep engineering interest Experience working in environments where reliability and compliance directly affect commercial outcomes Strong AI-first development mindset Comfortable using AI coding tools such as Claude Code or equivalent This role may not be the right fit if you Have primarily front-end engineering experience Lack meaningful backend or infrastructure ownership Have worked exclusively in cybersecurity without hands-on product engineering Have primarily Developer Relations or Developer Experience experience Have spent your career only on internal tooling without customer-facing product impact Have limited experience operating production systems Have no practical Infrastructure as Code or CI/CD experience Have only participated in compliance processes rather than designing and implementing controls Prefer highly specialized infrastructure work without broader product ownership Prefer large-company structures with narrowly defined responsibilities Are not comfortable working primarily on-site in London What you'll get Founding-level technical ownership Significant influence over platform architecture Direct impact on which enterprise customers the company can support Opportunity to build secure, production-grade AI infrastructure from an early stage Exposure to complex enterprise security and compliance requirements Close collaboration with company leadership Top-decile London market compensation Meaningful EMI-eligible equity Strong AI tooling and API budgets Daily team lunch Specialty coffee King's Cross office with roof terrace and on-site facilities High-autonomy engineering environment Opportunity to build both product and infrastructure systems end-to-end
Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products. We're looking for an AI Software Engineer with strong C# .NET experience to join the team and help turn emerging AI capabilities into genuine, production-ready product features. This is an ideal opportunity for a developer who combines strong software engineering fundamentals with hands-on LLM experience and enjoys working in an environment where things move quickly. You'll be taking AI concepts from initial idea and experimentation through to fully integrated, evaluated features within established .NET products. The Role You'll be responsible for building AI-powered capabilities across the product portfolio, working with LLMs, prompt engineering, context design and structured outputs , while ensuring everything you build is robust enough for production. You'll be expected to prototype quickly, but equally importantly, understand where engineering discipline is essential. That means thinking about accuracy, reliability, latency, cost, monitoring, fallbacks and evaluation rather than simply getting an AI feature to work in a demo. You'll work closely with existing engineering teams, Product Managers, Product Owners and subject matter experts to understand the business problem before deciding on the technical solution. Key Responsibilities Design and build prompts, context strategies and LLM integrations for real-world product features. Develop primarily in C# .NET , integrating AI capabilities into established codebases. Build production-grade AI services with appropriate error handling, fallbacks, monitoring and logging. Prototype new ideas quickly and turn successful experiments into robust production features. Develop structured approaches to evaluating LLM outputs , using real business scenarios and measurable results. Work with LLM APIs across different providers and make pragmatic decisions around quality, cost and latency. Use AI coding tools such as GitHub Copilot, Cursor or equivalent as part of your day-to-day development. Work alongside existing engineering teams to ensure your solutions fit established coding standards, architecture and deployment pipelines. Keep pace with the rapidly changing AI ecosystem and share new approaches and learning with colleagues. Work with Product and subject matter experts to understand the underlying business problem rather than simply responding to a technical requirement. Ensure AI features are developed with appropriate consideration for accuracy, safety and data handling . Skills and Experience Required You'll need to be a strong software engineer first and foremost, with genuine commercial experience building with AI. We're particularly interested in people who can demonstrate: Strong commercial C# .NET development experience , ideally working within established and potentially long-lived codebases. Hands-on experience building applications using Large Language Models , beyond tutorials or experimentation. Strong knowledge of prompt engineering, context engineering and structured outputs . Experience taking ideas from concept through to working software quickly. Experience evaluating or testing LLM outputs using structured approaches, datasets or real-world business scenarios. Daily experience using AI-assisted development tools such as GitHub Copilot, Cursor or similar . A pragmatic approach to software engineering - knowing when to move quickly and when production quality cannot be compromised. The ability to understand and articulate the business problem behind the technology you're building. It would be advantageous if you also have experience with: RAG (Retrieval-Augmented Generation) Agentic workflows and tool use Vector databases/search and embeddings LLM APIs from multiple providers AI evaluation frameworks and automated quality pipelines Modernising or extending long-established software platforms SaaS environments Distributive trades, rental, retail, automotive aftermarket or garage management This isn't a role where you'll spend months working on theoretical AI projects that never reach customers. You'll have the opportunity to build, ship and see your work used in real products . The expectation is that successful ideas can move from concept to production in weeks, while still meeting the standards expected of business-critical software. You'll also have the opportunity to influence how AI is adopted across the wider engineering organisation, sharing your knowledge and helping other developers understand what genuinely works. Within your first six months, you'll ideally have: Shipped an AI capability into an established product with meaningful evaluation behind it. Taken an AI idea from concept to customers within weeks rather than quarters. Used evaluation data to influence product or technical decisions - including being prepared to stop something that simply isn't good enough. Introduced new AI development techniques that other engineers have adopted. Demonstrated a clear understanding of the commercial problem you're solving, not just the technology you're using. If you're a C# .NET developer who is already building with LLMs and wants to work somewhere that is genuinely putting AI into production, we'd be very interested in hearing from you. Apply now or contact Apache Associates for a confidential discussion.
Aug 27, 2026
Full time
Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products. We're looking for an AI Software Engineer with strong C# .NET experience to join the team and help turn emerging AI capabilities into genuine, production-ready product features. This is an ideal opportunity for a developer who combines strong software engineering fundamentals with hands-on LLM experience and enjoys working in an environment where things move quickly. You'll be taking AI concepts from initial idea and experimentation through to fully integrated, evaluated features within established .NET products. The Role You'll be responsible for building AI-powered capabilities across the product portfolio, working with LLMs, prompt engineering, context design and structured outputs , while ensuring everything you build is robust enough for production. You'll be expected to prototype quickly, but equally importantly, understand where engineering discipline is essential. That means thinking about accuracy, reliability, latency, cost, monitoring, fallbacks and evaluation rather than simply getting an AI feature to work in a demo. You'll work closely with existing engineering teams, Product Managers, Product Owners and subject matter experts to understand the business problem before deciding on the technical solution. Key Responsibilities Design and build prompts, context strategies and LLM integrations for real-world product features. Develop primarily in C# .NET , integrating AI capabilities into established codebases. Build production-grade AI services with appropriate error handling, fallbacks, monitoring and logging. Prototype new ideas quickly and turn successful experiments into robust production features. Develop structured approaches to evaluating LLM outputs , using real business scenarios and measurable results. Work with LLM APIs across different providers and make pragmatic decisions around quality, cost and latency. Use AI coding tools such as GitHub Copilot, Cursor or equivalent as part of your day-to-day development. Work alongside existing engineering teams to ensure your solutions fit established coding standards, architecture and deployment pipelines. Keep pace with the rapidly changing AI ecosystem and share new approaches and learning with colleagues. Work with Product and subject matter experts to understand the underlying business problem rather than simply responding to a technical requirement. Ensure AI features are developed with appropriate consideration for accuracy, safety and data handling . Skills and Experience Required You'll need to be a strong software engineer first and foremost, with genuine commercial experience building with AI. We're particularly interested in people who can demonstrate: Strong commercial C# .NET development experience , ideally working within established and potentially long-lived codebases. Hands-on experience building applications using Large Language Models , beyond tutorials or experimentation. Strong knowledge of prompt engineering, context engineering and structured outputs . Experience taking ideas from concept through to working software quickly. Experience evaluating or testing LLM outputs using structured approaches, datasets or real-world business scenarios. Daily experience using AI-assisted development tools such as GitHub Copilot, Cursor or similar . A pragmatic approach to software engineering - knowing when to move quickly and when production quality cannot be compromised. The ability to understand and articulate the business problem behind the technology you're building. It would be advantageous if you also have experience with: RAG (Retrieval-Augmented Generation) Agentic workflows and tool use Vector databases/search and embeddings LLM APIs from multiple providers AI evaluation frameworks and automated quality pipelines Modernising or extending long-established software platforms SaaS environments Distributive trades, rental, retail, automotive aftermarket or garage management This isn't a role where you'll spend months working on theoretical AI projects that never reach customers. You'll have the opportunity to build, ship and see your work used in real products . The expectation is that successful ideas can move from concept to production in weeks, while still meeting the standards expected of business-critical software. You'll also have the opportunity to influence how AI is adopted across the wider engineering organisation, sharing your knowledge and helping other developers understand what genuinely works. Within your first six months, you'll ideally have: Shipped an AI capability into an established product with meaningful evaluation behind it. Taken an AI idea from concept to customers within weeks rather than quarters. Used evaluation data to influence product or technical decisions - including being prepared to stop something that simply isn't good enough. Introduced new AI development techniques that other engineers have adopted. Demonstrated a clear understanding of the commercial problem you're solving, not just the technology you're using. If you're a C# .NET developer who is already building with LLMs and wants to work somewhere that is genuinely putting AI into production, we'd be very interested in hearing from you. Apply now or contact Apache Associates for a confidential discussion.
Apache Associates
Newcastle Upon Tyne, Tyne And Wear
Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products. We're looking for an AI Software Engineer with strong C# .NET experience to join the team and help turn emerging AI capabilities into genuine, production-ready product features. This is an ideal opportunity for a developer who combines strong software engineering fundamentals with hands-on LLM experience and enjoys working in an environment where things move quickly. You'll be taking AI concepts from initial idea and experimentation through to fully integrated, evaluated features within established .NET products. The Role You'll be responsible for building AI-powered capabilities across the product portfolio, working with LLMs, prompt engineering, context design and structured outputs , while ensuring everything you build is robust enough for production. You'll be expected to prototype quickly, but equally importantly, understand where engineering discipline is essential. That means thinking about accuracy, reliability, latency, cost, monitoring, fallbacks and evaluation rather than simply getting an AI feature to work in a demo. You'll work closely with existing engineering teams, Product Managers, Product Owners and subject matter experts to understand the business problem before deciding on the technical solution. Key Responsibilities Design and build prompts, context strategies and LLM integrations for real-world product features. Develop primarily in C# .NET , integrating AI capabilities into established codebases. Build production-grade AI services with appropriate error handling, fallbacks, monitoring and logging. Prototype new ideas quickly and turn successful experiments into robust production features. Develop structured approaches to evaluating LLM outputs , using real business scenarios and measurable results. Work with LLM APIs across different providers and make pragmatic decisions around quality, cost and latency. Use AI coding tools such as GitHub Copilot, Cursor or equivalent as part of your day-to-day development. Work alongside existing engineering teams to ensure your solutions fit established coding standards, architecture and deployment pipelines. Keep pace with the rapidly changing AI ecosystem and share new approaches and learning with colleagues. Work with Product and subject matter experts to understand the underlying business problem rather than simply responding to a technical requirement. Ensure AI features are developed with appropriate consideration for accuracy, safety and data handling . Skills and Experience Required You'll need to be a strong software engineer first and foremost, with genuine commercial experience building with AI. We're particularly interested in people who can demonstrate: Strong commercial C# .NET development experience , ideally working within established and potentially long-lived codebases. Hands-on experience building applications using Large Language Models , beyond tutorials or experimentation. Strong knowledge of prompt engineering, context engineering and structured outputs . Experience taking ideas from concept through to working software quickly. Experience evaluating or testing LLM outputs using structured approaches, datasets or real-world business scenarios. Daily experience using AI-assisted development tools such as GitHub Copilot, Cursor or similar . A pragmatic approach to software engineering - knowing when to move quickly and when production quality cannot be compromised. The ability to understand and articulate the business problem behind the technology you're building. It would be advantageous if you also have experience with: RAG (Retrieval-Augmented Generation) Agentic workflows and tool use Vector databases/search and embeddings LLM APIs from multiple providers AI evaluation frameworks and automated quality pipelines Modernising or extending long-established software platforms SaaS environments Distributive trades, rental, retail, automotive aftermarket or garage management This isn't a role where you'll spend months working on theoretical AI projects that never reach customers. You'll have the opportunity to build, ship and see your work used in real products . The expectation is that successful ideas can move from concept to production in weeks, while still meeting the standards expected of business-critical software. You'll also have the opportunity to influence how AI is adopted across the wider engineering organisation, sharing your knowledge and helping other developers understand what genuinely works. Within your first six months, you'll ideally have: Shipped an AI capability into an established product with meaningful evaluation behind it. Taken an AI idea from concept to customers within weeks rather than quarters. Used evaluation data to influence product or technical decisions - including being prepared to stop something that simply isn't good enough. Introduced new AI development techniques that other engineers have adopted. Demonstrated a clear understanding of the commercial problem you're solving, not just the technology you're using. If you're a C# .NET developer who is already building with LLMs and wants to work somewhere that is genuinely putting AI into production, we'd be very interested in hearing from you. Apply now or contact Apache Associates for a confidential discussion.
Aug 27, 2026
Full time
Apache Associates are currently working with an innovative SaaS organisation that is investing heavily in AI across its products. We're looking for an AI Software Engineer with strong C# .NET experience to join the team and help turn emerging AI capabilities into genuine, production-ready product features. This is an ideal opportunity for a developer who combines strong software engineering fundamentals with hands-on LLM experience and enjoys working in an environment where things move quickly. You'll be taking AI concepts from initial idea and experimentation through to fully integrated, evaluated features within established .NET products. The Role You'll be responsible for building AI-powered capabilities across the product portfolio, working with LLMs, prompt engineering, context design and structured outputs , while ensuring everything you build is robust enough for production. You'll be expected to prototype quickly, but equally importantly, understand where engineering discipline is essential. That means thinking about accuracy, reliability, latency, cost, monitoring, fallbacks and evaluation rather than simply getting an AI feature to work in a demo. You'll work closely with existing engineering teams, Product Managers, Product Owners and subject matter experts to understand the business problem before deciding on the technical solution. Key Responsibilities Design and build prompts, context strategies and LLM integrations for real-world product features. Develop primarily in C# .NET , integrating AI capabilities into established codebases. Build production-grade AI services with appropriate error handling, fallbacks, monitoring and logging. Prototype new ideas quickly and turn successful experiments into robust production features. Develop structured approaches to evaluating LLM outputs , using real business scenarios and measurable results. Work with LLM APIs across different providers and make pragmatic decisions around quality, cost and latency. Use AI coding tools such as GitHub Copilot, Cursor or equivalent as part of your day-to-day development. Work alongside existing engineering teams to ensure your solutions fit established coding standards, architecture and deployment pipelines. Keep pace with the rapidly changing AI ecosystem and share new approaches and learning with colleagues. Work with Product and subject matter experts to understand the underlying business problem rather than simply responding to a technical requirement. Ensure AI features are developed with appropriate consideration for accuracy, safety and data handling . Skills and Experience Required You'll need to be a strong software engineer first and foremost, with genuine commercial experience building with AI. We're particularly interested in people who can demonstrate: Strong commercial C# .NET development experience , ideally working within established and potentially long-lived codebases. Hands-on experience building applications using Large Language Models , beyond tutorials or experimentation. Strong knowledge of prompt engineering, context engineering and structured outputs . Experience taking ideas from concept through to working software quickly. Experience evaluating or testing LLM outputs using structured approaches, datasets or real-world business scenarios. Daily experience using AI-assisted development tools such as GitHub Copilot, Cursor or similar . A pragmatic approach to software engineering - knowing when to move quickly and when production quality cannot be compromised. The ability to understand and articulate the business problem behind the technology you're building. It would be advantageous if you also have experience with: RAG (Retrieval-Augmented Generation) Agentic workflows and tool use Vector databases/search and embeddings LLM APIs from multiple providers AI evaluation frameworks and automated quality pipelines Modernising or extending long-established software platforms SaaS environments Distributive trades, rental, retail, automotive aftermarket or garage management This isn't a role where you'll spend months working on theoretical AI projects that never reach customers. You'll have the opportunity to build, ship and see your work used in real products . The expectation is that successful ideas can move from concept to production in weeks, while still meeting the standards expected of business-critical software. You'll also have the opportunity to influence how AI is adopted across the wider engineering organisation, sharing your knowledge and helping other developers understand what genuinely works. Within your first six months, you'll ideally have: Shipped an AI capability into an established product with meaningful evaluation behind it. Taken an AI idea from concept to customers within weeks rather than quarters. Used evaluation data to influence product or technical decisions - including being prepared to stop something that simply isn't good enough. Introduced new AI development techniques that other engineers have adopted. Demonstrated a clear understanding of the commercial problem you're solving, not just the technology you're using. If you're a C# .NET developer who is already building with LLMs and wants to work somewhere that is genuinely putting AI into production, we'd be very interested in hearing from you. Apply now or contact Apache Associates for a confidential discussion.
Contract Ruby Developer Up to £425 per day Outside IR35 6 Months Remote I'm currently looking for an experienced Ruby Developer to join a growing engineering team on an initial 6-month contract, with the potential for extension. This is a hands-on role where youll be working on the development and enhancement of modern software applications, collaborating closely with a wider engineering a click apply for full job details
Aug 27, 2026
Contractor
Contract Ruby Developer Up to £425 per day Outside IR35 6 Months Remote I'm currently looking for an experienced Ruby Developer to join a growing engineering team on an initial 6-month contract, with the potential for extension. This is a hands-on role where youll be working on the development and enhancement of modern software applications, collaborating closely with a wider engineering a click apply for full job details
# Business Strategy Developer - Internationalat Elastic • United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Business Strategy Developer - International3h agoE Business Strategy Developer - InternationalElastic10EngineeringFull-timeUnited Kingdom Visa RelocationApply Job Job DescriptionElastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.What is The RoleAt Elastic, we move fast - and we're looking for someone who can help us move smarter. As a Business Development Consultant for Elastic International, you'll work at the intersection of strategy and execution, partnering with senior leaders to shape how we grow across our international markets. You will help turn complex business challenges into clear plans with measurable outcomes.What You Will Be DoingShape strategy that sticks. Partner directly with executives to design short- and long-term business plans, refine business models, and develop go-to-market strategies that are grounded in data and built to scale.Connect the dots across the business. Collaborate with cross-functional teams - from Sales and Marketing to Product and Finance - to align goals, remove friction, and drive strategic initiatives from concept to execution.Make the numbers talk. Conduct financial analyses, business valuations, and profitability assessments that turn strategy into something we can actually fund, build, and defend.Define what success looks like. Establish KPIs that give us an honest read on progress, and have the judgment to recommend pivots when the data calls for it.Drive growth. Develop and implement initiatives that tangibly move the needle on revenue and operational efficiency - not just slides, but outcomes.What You Bring2-5 years of experience in a consulting firm or a SaaS corporate sales strategy function - you know how to structure ambiguous problems and communicate findings to senior stakeholdersStrong quantitative and financial modelling skills - you're comfortable in a spreadsheet and can tell a story with dataStrategic clarity and the ability to operate at both the 30,000-foot level and in the weeds when neededA solid grasp of the technology market - you understand enterprise software, SaaS dynamics, and what drives growth in this spaceYou don't need to have all the answers yet - curiosity and drive matter as much as experience hereAn MBA or equivalent advanced degree from a top business school is a plus, but your thinking matters more than your pedigreeAdditional Information - We Take Care of Our PeopleAs a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.Competitive pay based on the work you do here and not your previous salaryHealth coverage for you and your family in many locationsAbility to craft your calendar with flexible locations and schedules for many rolesGenerous number of vacation days each yearIncrease your impact - We match up to $2000 (or local currency equivalent) for financial donations and serviceUp to 40 hours each year to use toward volunteer projects you loveEmbracing parenthood with minimum of 16 weeks of parental leaveDifferent people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate\ . We will reply to your request within 24 business hours of submission.Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.Please see here for our Privacy Statement.
Aug 27, 2026
Full time
# Business Strategy Developer - Internationalat Elastic • United KingdomBack to jobs1. Home2. Jobs3. United Kingdom4. Business Strategy Developer - International3h agoE Business Strategy Developer - InternationalElastic10EngineeringFull-timeUnited Kingdom Visa RelocationApply Job Job DescriptionElastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.What is The RoleAt Elastic, we move fast - and we're looking for someone who can help us move smarter. As a Business Development Consultant for Elastic International, you'll work at the intersection of strategy and execution, partnering with senior leaders to shape how we grow across our international markets. You will help turn complex business challenges into clear plans with measurable outcomes.What You Will Be DoingShape strategy that sticks. Partner directly with executives to design short- and long-term business plans, refine business models, and develop go-to-market strategies that are grounded in data and built to scale.Connect the dots across the business. Collaborate with cross-functional teams - from Sales and Marketing to Product and Finance - to align goals, remove friction, and drive strategic initiatives from concept to execution.Make the numbers talk. Conduct financial analyses, business valuations, and profitability assessments that turn strategy into something we can actually fund, build, and defend.Define what success looks like. Establish KPIs that give us an honest read on progress, and have the judgment to recommend pivots when the data calls for it.Drive growth. Develop and implement initiatives that tangibly move the needle on revenue and operational efficiency - not just slides, but outcomes.What You Bring2-5 years of experience in a consulting firm or a SaaS corporate sales strategy function - you know how to structure ambiguous problems and communicate findings to senior stakeholdersStrong quantitative and financial modelling skills - you're comfortable in a spreadsheet and can tell a story with dataStrategic clarity and the ability to operate at both the 30,000-foot level and in the weeds when neededA solid grasp of the technology market - you understand enterprise software, SaaS dynamics, and what drives growth in this spaceYou don't need to have all the answers yet - curiosity and drive matter as much as experience hereAn MBA or equivalent advanced degree from a top business school is a plus, but your thinking matters more than your pedigreeAdditional Information - We Take Care of Our PeopleAs a distributed company, diversity drives our identity. Whether you're looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn't matter if you're just out of college or your children are; we need you for what you can do.We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.Competitive pay based on the work you do here and not your previous salaryHealth coverage for you and your family in many locationsAbility to craft your calendar with flexible locations and schedules for many rolesGenerous number of vacation days each yearIncrease your impact - We match up to $2000 (or local currency equivalent) for financial donations and serviceUp to 40 hours each year to use toward volunteer projects you loveEmbracing parenthood with minimum of 16 weeks of parental leaveDifferent people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email candidate\ . We will reply to your request within 24 business hours of submission.Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)Elasticsearch develops and distributes technology and information that is subject to U.S. and other countries' export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.Please see here for our Privacy Statement.
Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code - testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this "outer loop," helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend - enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 26 offices and 25 countries, Harness is shaping the future of AI software delivery - and we're looking for exceptional talent to help us move even faster. Position Summary The Sales Engineering Manager sits at the intersection of sales and engineering, leading a team of world class SEs while remaining hands on when the moment calls for it. The ideal candidate articulates technology and product positioning at executive, business, and technical levels - and is equally comfortable rolling up their sleeves to debug an integration or deliver a demo. This leader drives the technical evaluation stage of the sales process, ensures customer success across all Harness engagements, and partners closely with sales to steer customers toward a commercial relationship. About The Role Lead, recruit, and grow a high performing Sales Engineering team with a servant leadership mindset. Drive strategic projects that scale across the region. Deliver and coach world class platform presentations and demos that tell a compelling value story, where required. Work directly with customers to debug common errors and tie business problems to technical solutions. Drive complex technical engagements including POCs, workshops, and RFI/RFP responses. Articulate technology value propositions at the executive, business, and technical levels. Convey customer requirements and feedback clearly to Engineering teams. Represent Harness at field events, conferences, and seminars as a credible technical voice. About You 2+ years leading Sales Engineering teams with a proven track record of recruiting, developing, and retaining SE talent. 4+ years of hands on DevOps/Dev sales engineering experience. Prior background as a developer or in a deeply developer centric DevOps role. Strong cloud and infrastructure knowledge - hands on experience with tools like Terraform. Low ego: comfortable getting hands on as a people leader, and would return to an IC role at the right company. Strong public speaking skills - you have presented at conferences and are a confident, polished presenter. Self motivated, resilient, and naturally inclined to solve problems without being asked. Works effectively as part of a team, partnering with Sales leadership, Post Sales and other functions to drive business outcomes. Able to travel extensively throughout a sales territory, occasionally on short notice. Resides within 2 hours of a Harness hiring hub; comfortable with significant travel and weekly in office presence. Work Location Must be within commuting distance of London. What You Will Have at Harness Competitive salary. Comprehensive healthcare benefits. Flexible Spending Account (FSA). Employee Assistance Program (EAP). Flexible Time Off and Parental Leave. Quarterly Harness TGIF Off / 4 days. Monthly, quarterly, and annual social and team building events. Recharge & Reset Program. Monthly internet reimbursement. Commuter benefits. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
Aug 27, 2026
Full time
Harness is the AI Software Delivery Platform company, led by technologist and entrepreneur Jyoti Bansal (founder of AppDynamics, acquired by Cisco for $3.7B). Harness has raised approximately $570M in funding and is valued at $5.5B, backed by leading investors including Goldman Sachs, Menlo Ventures, IVP, Unusual Ventures, Citi Ventures, and more. As AI accelerates code creation, the real bottleneck has shifted to everything after the code - testing, deployments, application security, reliability, compliance, and cost optimization. Harness brings AI and automation to this "outer loop," helping teams ship software faster while maintaining security and governance throughout the entire software delivery lifecycle. Powered by Harness AI and the Software Delivery Knowledge Graph, the Harness Platform applies deep context and intelligent automation across the software delivery lifecycle with governance and policy driven controls embedded throughout the platform. Over the past year, Harness powered over 185M deployments, 82M builds, 18T flag evaluations, 8M security scans, 9.1B optimized tests, 3T protected API calls, and helped manage $2.8B in cloud spend - enabling customers like United Airlines, Morningstar, and Choice Hotels to accelerate releases by up to 75%, reduce cloud costs by up to 60%, and achieve 10x DevOps efficiency. With a global team across 26 offices and 25 countries, Harness is shaping the future of AI software delivery - and we're looking for exceptional talent to help us move even faster. Position Summary The Sales Engineering Manager sits at the intersection of sales and engineering, leading a team of world class SEs while remaining hands on when the moment calls for it. The ideal candidate articulates technology and product positioning at executive, business, and technical levels - and is equally comfortable rolling up their sleeves to debug an integration or deliver a demo. This leader drives the technical evaluation stage of the sales process, ensures customer success across all Harness engagements, and partners closely with sales to steer customers toward a commercial relationship. About The Role Lead, recruit, and grow a high performing Sales Engineering team with a servant leadership mindset. Drive strategic projects that scale across the region. Deliver and coach world class platform presentations and demos that tell a compelling value story, where required. Work directly with customers to debug common errors and tie business problems to technical solutions. Drive complex technical engagements including POCs, workshops, and RFI/RFP responses. Articulate technology value propositions at the executive, business, and technical levels. Convey customer requirements and feedback clearly to Engineering teams. Represent Harness at field events, conferences, and seminars as a credible technical voice. About You 2+ years leading Sales Engineering teams with a proven track record of recruiting, developing, and retaining SE talent. 4+ years of hands on DevOps/Dev sales engineering experience. Prior background as a developer or in a deeply developer centric DevOps role. Strong cloud and infrastructure knowledge - hands on experience with tools like Terraform. Low ego: comfortable getting hands on as a people leader, and would return to an IC role at the right company. Strong public speaking skills - you have presented at conferences and are a confident, polished presenter. Self motivated, resilient, and naturally inclined to solve problems without being asked. Works effectively as part of a team, partnering with Sales leadership, Post Sales and other functions to drive business outcomes. Able to travel extensively throughout a sales territory, occasionally on short notice. Resides within 2 hours of a Harness hiring hub; comfortable with significant travel and weekly in office presence. Work Location Must be within commuting distance of London. What You Will Have at Harness Competitive salary. Comprehensive healthcare benefits. Flexible Spending Account (FSA). Employee Assistance Program (EAP). Flexible Time Off and Parental Leave. Quarterly Harness TGIF Off / 4 days. Monthly, quarterly, and annual social and team building events. Recharge & Reset Program. Monthly internet reimbursement. Commuter benefits. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex or national origin.
.NET Software Developer Hull (3 Days Office, 2 Days Home) £35,000 - £40,000 + Progression + Annual Bonus + Flexible Benefits Are you a Software Developer who has built strong commercial foundations in .NET and is ready for more responsibility and ownership, but still wants experienced engineers around them to learn from as they continue developing their career? This is an opportunity to join a growing software business where you'll become an important part of a small engineering team building SaaS products used by organisations across the public sector. Rather than being one developer in a large development function, you'll have exposure across the full software development lifecycle and genuine input into the software being built. Working closely with two experienced Senior Engineers, you'll be able to contribute from day one whilst continuing to develop your technical skills. The team is looking for someone with strong fundamentals who wants to keep learning, take on more responsibility and become a long-term part of the business. The company takes a pragmatic approach to modern software engineering and actively encourages the sensible use of AI-assisted development tools. You do not need experience with specific AI platforms; an interest in how they can improve development workflows, alongside the ability to validate and challenge their output, is what matters most. This role would suit a developer who has built strong foundations in .NET development and is now looking for an environment that offers ownership, visibility, collaboration and plenty of opportunity for continued growth. The Role: Develop and enhance SaaS applications using .NET and modern front-end technologies Work across the full software development lifecycle Collaborate closely with experienced Senior Engineers Have genuine input within a small, collaborative engineering team Hybrid working, 3 days per week in the Hull office The Person: Commercial software development experience with .NET Experience with a modern front-end framework such as React, Angular or Vue Ready for more responsibility whilst continuing to learn from experienced engineers Positive and practical attitude towards AI-assisted development Able to commute to Hull three days per week on a long-term basis Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
Aug 27, 2026
Full time
.NET Software Developer Hull (3 Days Office, 2 Days Home) £35,000 - £40,000 + Progression + Annual Bonus + Flexible Benefits Are you a Software Developer who has built strong commercial foundations in .NET and is ready for more responsibility and ownership, but still wants experienced engineers around them to learn from as they continue developing their career? This is an opportunity to join a growing software business where you'll become an important part of a small engineering team building SaaS products used by organisations across the public sector. Rather than being one developer in a large development function, you'll have exposure across the full software development lifecycle and genuine input into the software being built. Working closely with two experienced Senior Engineers, you'll be able to contribute from day one whilst continuing to develop your technical skills. The team is looking for someone with strong fundamentals who wants to keep learning, take on more responsibility and become a long-term part of the business. The company takes a pragmatic approach to modern software engineering and actively encourages the sensible use of AI-assisted development tools. You do not need experience with specific AI platforms; an interest in how they can improve development workflows, alongside the ability to validate and challenge their output, is what matters most. This role would suit a developer who has built strong foundations in .NET development and is now looking for an environment that offers ownership, visibility, collaboration and plenty of opportunity for continued growth. The Role: Develop and enhance SaaS applications using .NET and modern front-end technologies Work across the full software development lifecycle Collaborate closely with experienced Senior Engineers Have genuine input within a small, collaborative engineering team Hybrid working, 3 days per week in the Hull office The Person: Commercial software development experience with .NET Experience with a modern front-end framework such as React, Angular or Vue Ready for more responsibility whilst continuing to learn from experienced engineers Positive and practical attitude towards AI-assisted development Able to commute to Hull three days per week on a long-term basis Rise Technical Recruitment Ltd acts an employment agency for permanent roles and an employment business for temporary roles. The salary advertised is the bracket available for this position. The actual salary paid will be dependent on your level of experience, qualifications and skill set and will be decided by our client, the employer. Rise are not responsible or liable for any hiring decisions made by the end client. We are an equal opportunities company and welcome applications from all suitable candidates.
