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Please note: This role requires applicants to hold active, or recently active, SC or DV clearance. This role also requires applicants to be willing to work on-site up to 4 days per week. At Gemba Advantage, we design and run secure, cloud native platforms for critical public sector organisations across the UK. Our teams build and automate the infrastructure and pipelines that high impact systems depend on. We're looking for experienced DevOps Engineers who want to shape modern delivery, lead technical decisions, and work with people who care about doing things properly. You'll help design and evolve cloud environments, improve engineering practices, and solve challenging problems alongside our customers.

Principal Technology Consultant This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description HPE Morpheus Enterprise is a unified platform designed to simplify the consumption of hybrid clouds, container clusters, and infrastructure automation tools. It serves as the orchestration and automation foundation for the HPE Hybrid Cloud Portfolio. This is an exciting opportunity to join a team of technology experts, dedicated to supporting our core cloud management platform, expanding our growing list of integrations, developing automation and custom plugins, and assisting customers in maximising the value of HPE Morpheus Software. Responsibilities Multi-Cloud Engineering: Drive the engineering of highly available multi-cloud architectures, focusing on complex hybrid and multi-cloud solutions that bridge on-premises KVM stacks with public cloud providers. DevOps & Automation Leadership: Design and optimize CI/CD pipelines and automated deployment frameworks to enhance product build-outs and engineering velocity. Advanced Tier-4 Escalations: Act as the ultimate technical authority for critical issues involving Morpheus/VME and the HVM (Ubuntu 24.04 KVM) hypervisor stack. Infrastructure as Code (IaC): Lead the development of reusable automation assets using Ansible and Terraform to manage infrastructure across diverse cloud environments. Targeted IT Ops & QA Support: Assist in the maintenance of internal build and QA environments as needed, ensuring stability for the development team without primary daily management responsibility. Technical Governance: Author and maintain architectural documentation, playbooks, and technical standards to ensure alignment with cloud-native best practices. Knowledge Leadership: Mentor junior engineers in DevOps methodologies and represent the engineering team in high-level technical forums. Education and Experience Required Experience: 7-9 years of technical engineering experience with a strong focus on cloud architecture and automation. Education: Bachelor's degree in Computer Science or a related field; or 7+ years of relevant professional experience in lieu of a degree. Knowledge and Skills DevOps Proficiency: Critical expertise in DevOps practices, including containerization (Docker/Kubernetes), automated testing, and release management. Hypervisor Expertise: Subject matter mastery of KVM, including Ubuntu 24.04 LTS administration A deep familiarity with multi-cloud management, automation, and orchestration tools such as Morpheus Cloud Management. Multi-Cloud Networking & Ops: Comprehensive understanding of public cloud infrastructure (AWS, Azure, or GCP) and hybrid networking topologies. High-Availability Stacks: Hands on engineering experience with Ceph, gfs2, Pacemaker, and Corosync for resilient enterprise deployments. Automation Tooling: Expert level scripting in Python, Bash, Terraform and Ansible for end to end infrastructure orchestration. Strategic Communication: Ability to articulate complex multi cloud strategies to senior leadership and provide clear, actionable technical guidance to peers. What We Can Offer You Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Job: Services Job Level: TCP_05 Equal Employment Opportunity HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Equal Opportunity Employer (EEO) HPE provides equal employment opportunity to any employee or applicant without regard to sex, gender, color, race, ethnicity, religion, creed, national origin, ancestry, citizenship, age, marital status, sexual orientation, gender identity and expression, physical or mental disability, medical condition, pregnancy, protected veteran status, uniformed service status, familial status, genetic information, political affiliation, or any other characteristic protected by federal, state, or local law.

About us Stacuity is an innovative, ambitious, and rapidly growing company that provides cutting edge SaaS platforms to Mobile Network Operators (MNOs), MVNOs, IoT Service Providers, Enterprise Connectivity Providers, and related industries. We have developed our own mobile core network and supporting platforms from the ground up, using a modern, state of the art architecture. Our globally distributed platform enables customers worldwide to manage and secure mobile connectivity for Enterprise and IoT markets. Privately owned and headquartered in the Isle of Man, with a UK office, Stacuity was founded by industry veterans with a proven track record in business growth. To support our ongoing growth, we are expanding our integration and platform capability - offering a unique opportunity to join an exceptional, trusted, and valued team. Summary of this job As Principal Network Architect at Stacuity, you will be the senior design authority for our global IP network - the underlying connectivity fabric that carries traffic between our mobile core, our edge sites, and our customers and partners worldwide. This is a role for someone equally comfortable at the whiteboard and in the rack. You will author the High-Level and Low-Level Designs that turn business and customer requirements into resilient, ultra-high-availability network infrastructure, and you will then roll your sleeves up and work alongside our engineers to see those designs through to live deployment. You will be the technical authority other engineers turn to when something needs to be designed right the first time, and the person who steps in when something needs fixing fast. You will work across our global footprint of edge sites, data centres, and interconnects, with direct responsibility for routing, switching, and firewall architecture, and close involvement in how our network integrates with cloud and core platform infrastructure. Key responsibilities - what you will do: Design and architecture Act as the design authority for Stacuity's global network, translating business and customer requirements into robust, ultra-high-availability infrastructure. Author and deliver High-Level Design (HLD) and Low-Level Design (LLD) documentation for network projects, guiding them through internal review and stakeholder approval. Design and evolve our global WAN, LAN, and Internet edge architecture, including routing strategy, peering and transit relationships, and firewall and segmentation policy. Define network standards covering routing, IP addressing, DNS, NAT, firewall zoning, and lifecycle management of network hardware and software. Evaluate emerging network technologies, including SD-WAN and Software-Defined Networking approaches, and assess their fit for Stacuity's platform. Hands on delivery Be hands on: work directly alongside engineers and the wider infrastructure team to configure, build, and deploy the networks you design, rather than handing designs over and stepping away. Lead network projects from a design perspective, ensuring technical deliverables are met with precision and coordinating successful deployment of new infrastructure. Build and maintain hardware Bills of Materials (BoM) for network projects, working with procurement and vendors as required. Act as a senior escalation point for complex network incidents, leading root cause analysis and driving permanent fixes within agreed timescales. Leadership and collaboration Provide technical leadership and mentorship to network and infrastructure engineers, helping resolve architectural issues and raising the standard of design across the team. Work closely with the platform, security, and development teams to ensure network architecture aligns with the needs of our mobile core and supporting platforms. Support our ISO 27001 information security programme, ensuring network designs and controls meet the relevant Annex A requirements. Communicate network strategy and project status clearly to both technical and non-technical stakeholders, including senior leadership. Working pattern This role is primarily office hours based in our Isle of Man office, with remote working possible by agreement. Given the global nature of our network and customer base, some flexibility outside of core hours may occasionally be required to support deployments, change windows, or major incidents. Some travel to data centres, edge sites, and partner locations should be expected from time to time. What you will bring Your Qualifications Minimum CCNP level (or equivalent) across major enterprise networking vendors - Essential Degree (or equivalent) in Computer Science, Network Engineering, or a related discipline - Desirable (or demonstrable practical experience) Higher-level vendor certification (e.g. CCIE, JNCIE, or equivalent) - Desirable

We are seeking a Principal Research Scientist to help define and accelerate our long term machine learning research agenda. Prior finance experience is not required. The Role This role is designed for an established academic researcher or research scientist who wants to remain connected to the frontier of machine learning while applying their expertise in a highly impactful environment. You will work alongside quantitative researchers, engineers and research leadership to identify emerging research directions, evaluate new developments in machine learning, and help translate promising academic advances into practical applications. Rather than owning individual trading strategies, you will act as a scientific leader, mentor and advisor across the research organisation. You will also represent IMC externally through participation in leading conferences and engagement with the broader machine learning community. Responsibilities Shape the long term machine learning research agenda within Systematic Equities. Identify and translate advances from frontier ML research into practical opportunities. Conduct original research and develop proof of concept solutions where appropriate. Advise and mentor quantitative researchers on methodology, experimentation and research direction. Help guide future investments in research tooling, infrastructure and compute capabilities. Represent IMC within the global machine learning community through conferences such as NeurIPS, ICML and ICLR. Contribute to publication efforts where appropriate and consistent with intellectual property considerations. Skills & Experience PhD in Machine Learning, Computer Science, Statistics, Mathematics, Physics or a related quantitative discipline. Outstanding academic credentials and a strong publication record in leading research venues. Current or recent experience in a faculty equivalent academic or research leadership role such as Assistant Professor, Associate Professor, Professor, Group Leader, Principal Investigator, Senior Postdoctoral Researcher, or Senior Research Scientist. Deep expertise in modern machine learning and strong awareness of emerging research trends. Experience influencing research direction, mentoring researchers, or leading research initiatives. Strong programming skills and experience with modern machine learning frameworks. Excellent communication skills and the ability to collaborate across disciplines. What We Offer The opportunity to influence the future of machine learning at one of the world's leading trading firms. Access to exceptional datasets, infrastructure and large scale compute resources. Continued engagement with the academic community through conferences, collaborations and publication opportunities. A collaborative environment where research can move rapidly from idea to impact. Competitive compensation that reflects both scientific excellence and commercial impact.

Head of AI Solutions, COO Technology - MD (C16) page is loaded Head of AI Solutions, COO Technology - MD (C16)Applylocations: London United Kingdomposted on: Posted Todayjob requisition id: Citi's COO Technology organization is building one of the most consequential AI platforms in global financial services - and this is the role that leads it.The Head of AI Solutions is a newly created, executive-level position with a clear mandate: architect a unified AI strategy, build a world-class engineering team, and deliver production-grade AI at scale across the operational nerve center of a global bank. This is not a coordination or advisory role. It is a builder's role - one with the budget, the mandate, and the organizational reach to make it real.You will own the AI strategy and delivery capability across a $200M+ technology portfolio spanning some of the most operationally complex domains in banking: KYC, fraud detection, wholesale lending operations, global reconciliations, cash management, payments control, non-financial regulatory reporting, payroll, and international operations . The scale is significant, the problems are highly complex at this stage, and the impact is direct - the solutions you build will influence how trillions of dollars in transactions flow daily, how regulatory risk is managed, and how Citi's operational infrastructure evolves over the next decade.Unlike a role at a pure-play technology company, you will be solving AI challenges where failure has regulatory and systemic consequence - and where success reshapes the economics and resilience of critical global operations. The ambiguity is real, the stakes are high, and the opportunity for lasting impact is unmatched.This role reports directly to the Head of COO Technology. Responsibilities: AI Strategy & Platform Architecture: Define and own the multi-year AI strategy for the COO Technology portfolio; translate business intent into a concrete, milestone-driven execution roadmap with measurable outcomes Develop architecture blueprints and end-to-end systems design for Generative AI and agentic workflows across diverse operational domains Build the shared AI platform - reusable models, tooling, guardrails, evaluation frameworks, and accelerators - that reduces duplication, lowers cost, and enables faster adoption across COO Establish and enforce engineering standards, architectural guardrails, and development patterns across all AI initiatives Define a rigorous total cost of ownership model for developing, deploying, and sustaining AI in production Identify and evaluate emerging GenAI technologies, foundation models, and agent frameworks - and make deliberate, defensible decisions on where to build, buy, or partner Production AI Delivery at Enterprise Scale Lead end-to-end delivery of AI solutions across high-complexity, regulated operational environments - from architecture through production deployment, monitoring, and continuous improvement Drive the agentic product development lifecycle: runtime harness design, evaluation frameworks, human-in-the-loop workflows, feedback loops, and production readiness criteria Manage cross-functional delivery spanning engineering, product, data, architecture, cyber, risk & compliance, and operations Proactively identify and resolve dependencies, critical path risks, and systemic delivery blockers; ensure on-time, on-budget execution Ensure all AI solutions meet production-grade standards: stability, scalability, auditability, explainability, and regulatory compliance Executive Partnership & AI Governance Serve as the senior AI executive point of contact for COO function leads - partnering directly with the Heads of Core Operations Technology, Shared Services Technology, and Controls Technology Lead AI governance forums and Architecture Review Boards; establish clear decision rights and review cadences across the portfolio Translate complex technical realities into clear, compelling narratives for senior non-technical audiences - including COO, CIO, and regulatory stakeholders Develop executive-level communications - steering committee materials, portfolio dashboards, and milestone tracking - that improve decision velocity and reduce execution risk Ensure full adherence to Citi's internal policies, risk and control frameworks, model risk management (MRM) standards, and applicable regulatory requirements Building the AI Engineering Organization Build, structure, and lead a high-performing AI engineering function aligned to COO's operational priorities - including team topology, operating model, and career pathways Foster a culture of technical excellence, intellectual curiosity, and pragmatic innovation: engineers who ship production solutions, not prototypes Own and manage the AI technology portfolio budget ( $200M), driving disciplined funding allocation, financial transparency, and cost-to-serve accountability Lead productivity and efficiency programs with measurable targets across cycle time, quality, throughput, and engineering leverage Define and optimize vendor and partner strategy, including strategic AI platform partnerships (e.g., Google, Anthropic), third-party tooling, and outsourced delivery models Qualifications: 15+ years of experience in Technology - Required: Generative AI & LLM Engineering: Deep, hands-on expertise in large language models including model selection, fine-tuning, prompt engineering, retrieval-augmented generation (RAG), vector database design, and evaluation methodologies. You understand how models behave in production, not just in demos. Agentic Systems Design:Proven experience designing and deploying multi-agent architectures and orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI); tool-use patterns, human-in-the-loop workflows, and agentic safety at enterprise scale AI/ML Engineering & MLOps: Full AI/ML lifecycle ownership: training pipelines, model deployment, versioning, monitoring, drift detection, observability (e.g., Weights & Biases, Arize), and lifecycle management using platforms such as MLflow, Vertex AI, or SageMaker Cloud AI Platforms: Demonstrated deployment of AI workloads on AWS, GCP, and/or Azure including managed ML services, scalable inference infrastructure, and vector stores Programming & Frameworks: Strong Python proficiency; working knowledge of PyTorch or TensorFlow; applied experience with AI application frameworks (LangChain, LlamaIndex, or equivalents) Enterprise AI Architecture: Designing AI systems for regulated production environments: data security, model explainability, audit logging, access controls, and integration with legacy systems Leadership & Delivery - Required: 15+ years in technology, with a proven record of leading large-scale engineering organizations through build-out and transformation 10+ years of management experience, including direct leadership of senior engineers and architects, and management of managers across global teams Demonstrated delivery of enterprise AI solutions with realized measurable business outcomes - not just successful pilots or proofs of concept Experience managing large, complex technology budgets ($50M+) with accountability for financial transparency and ROI Track record of operating effectively in matrixed, cross-functional organizations at the intersection of technology and operations Domain & Contextual Knowledge - Strongly Preferred Deep familiarity with financial services operations and the regulatory landscape - particularly KYC/AML, fraud, reconciliations, and regulatory reporting Strong understanding of model risk management (MRM) and what it takes to move AI from development to production under regulatory scrutiny Experience engaging with strategic technology partners (cloud providers, AI platform companies) at an executive level Leadership Profile You build platforms, not point solutions - you instinctively seek the reusable, the shared, the scalable You are equally credible in a deep technical architecture review and a board-level strategy discussion You attract, develop, and retain strong technical talent - engineers want to work for you because they grow You operate with clarity and urgency in ambiguous environments; complexity energizes rather than paralyzes you You communicate with precision - you can make a complex AI architecture concept land with a CRO, a COO, and a principal engineer, and you do it differently for each Education: Bachelors required; Master's in CS, AI/ML, or related field preferred What success looks like: In the first year, we expect the successful candidate to: Establish the AI engineering team and operating model - hire and structure a high-performing team with clear roles, responsibilities, and a strong culture Deliver 3+ production-grade agentic AI systems across priority COO domains, with measurable operational impact (cost, speed, quality, or risk reduction) Launch the shared AI platform - reusable RAG infrastructure, evaluation frameworks, and common tooling adopted across COO Technology Define and align the multi-year AI roadmap with COO function leads and the Head of COO Technology, with clear prioritization, milestones, and funding allocation Establish AI governance - Architecture Review Boards, model risk processes, and compliance frameworks embedded in the delivery lifecycle Why this role Scale that is rare. You will build AI capabilities across one of the world's most operationally complex banking platforms - with direct, measurable impact on how trillions of dollars in transactions are processed, controlled, and reported daily. Greenfield mandate. The team, the platform, and the strategy are yours to define. You will set the architectural direction, the engineering culture, and the standards that govern AI across the COO portfolio. Uniquely hard problems . click apply for full job details

Role Overview You'll join a small, high-performing team of engineers and product leaders shaping how we scale our platform and our impact. From your first day, you will have the opportunity to work closely with the founding team based across London & Paris to shape the product vision and all parts of our technical architecture. As we scale our products and deepen our presence across emerging markets, this is a role that builds technology to solve customer problems. To do that, you must have empathy and curiosity to get to the root cause of the issue and the creativity to build a solution that balances impact, effort, and delight. Key Responsibilities Leadership Excellence Lead by technical example - your influence comes from the quality of your work, your judgment and your ability to bring others along with you, not from authority. Own technical direction within your team and workstream, collaborating closely with principal engineers and the Head of Engineering to align with broader architectural strategy. Mentor senior engineers through pairing, code reviews and design discussions - raising the technical floor of the people around you. Champion engineering best practices across the team, introducing standards and patterns that improve consistency, reliability and developer experience. Act as a subject matter expert in your core technical domain, and be the person others turn to when the problem is hard. Delivery Excellence Lead the end-to-end delivery of complex, multi-stakeholder projects - from scoping and design through to deployment, feedback and iteration. Translate ambiguous problem spaces into clear technical plans, breaking down large initiatives into well-defined milestones that the team can execute against. Manage delivery dependencies across teams and communicate progress clearly to both technical and non-technical stakeholders. Drive a culture of outcome-oriented delivery within your workstream - focused on impact shipped, not activity completed. Proactively identify and remove blockers before they slow the team down. Operational Excellence Take ownership of the reliability and observability of systems within your domain - ensuring they are monitored, well-understood and resilient to failure. Handle production incidents with confidence, leading postmortems that result in genuine process improvements rather than just documentation. Set the standard for what good operational practice looks like within your team - monitoring, alerting, runbooks and on-call hygiene. Contribute to company-wide reliability initiatives led by principal engineers and the Head of Engineering. Technical Excellence Make and defend strong architectural decisions within your workstream, balancing pragmatism with long-term technical health. Write production-quality code consistently - this is a fully IC role and hands-on technical contribution is expected at all times. Drive scalability, modularity and performance improvements in the areas of the codebase you own. Champion code quality through rigorous testing, thoughtful documentation and constructive code reviews that develop the engineers around you. Proactively identify technical debt and lead initiatives to address it before it compounds. Culture Communicate internally and externally about new features, be it collecting feedback pre-implementation or explaining them on launch. Requirements Our tech stack: Typescript, React, NextJS, NodeJS, Express, PostgreSQL A product mindset is core to how we build - everyone at Capi is encouraged to think about the customer, the business, and the long term impact of what we ship. A strong understanding of web development, frontend and backend best practices. While mainly working with JavaScript technologies. Experience in a VC-backed or high-growth engineering team and building products used by customers. You are comfortable working in an early-stage startup environment with high pace, rapid growth, involvement in the entire product development process, and a high degree of ambiguity. Excellent written and verbal communication skills for expressing ideas, designs, and potential solutions with both technical and non-technical team members and customers. You care about our mission and solving the problems faced by African businesses. Based in London or Paris. Bonus points if you: Speak and write in French & English Experience in Fintech, payments, wallets or building ledgers Expertise in security and data protection best practices needed in a FCA regulated business Some projects the team has been working on: Automated payouts and AI invoice approval Onboarding + payment automation with Swift network and banking partners across the world WhatsApp bot that creates quotes for customers based on their responses Self-serve onboarding flow that collects company information and KYC documents from customers Asynchronous workers that OCR invoices Internal tooling to manage and process millions of dollars of transactions What to expect when interviewing with Capi? Our interview process includes: Screen interview with our Tech Recruiter Gracie (30 mins) - Learn about the Capi story and mission. Whilst ensuring we are aligned as an exciting opportunity for what you're looking for. Technical challenge with one of our Principal Engineers (1 hr) - Demonstrate your abilities in a whiteboard-style interview with one of our senior team members. We like to keep this as natural as possible, as if you were joining us tomorrow. This interview is to assess your skills, interests, and potential to see the impact you could make. While also ensuring Capi can support your growth. Deep dive (1 hr) - Meet the hiring manager and explore your relevant experience and our upcoming projects. Founder chat (30 mins) - Meet the founders to learn about Capi's growth plans, mission, and revenue targets. This is also your opportunity to ask any final questions to make sure our journey is right for you. References Offer! Additional Information This is a full-time position with a competitive salary, share options, and benefits. We would be looking to hire for this role by June 2026, but are happy to align with notice periods as required. Capi is an equal opportunity employer and welcomes candidates from diverse backgrounds. We're all about building a diverse, inclusive team at Capi. Whoever you are, we'd love to hear from you. If there's anything you need to make the interview process easier-whether it's accessibility support, a different format, or just a heads-up about what to expect-just let us know, we're happy to help.

Senior Architect - Email & Collaboration SecurityApplylocations: Great Britain - Londontime type: Full timeposted on: Posted Todayjob requisition id: R6496 Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role Exists The Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI-augmented threats, sprawling collaboration surfaces, multi-cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait.This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job.The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI-First Ways of Working Mimecast is an AI-first engineering organisation. This is not a cultural aspiration - it is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis.This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data-contract stability, and evaluation coverage for AI-driven features.Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. The ECS Domain ECS covers the following product and capability areas: Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution Space The role engages at the problem-framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product Artefacts The durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first-class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural Context Engineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI-assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without Blocking Governance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit Economics Infrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every Altitude A one-page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring Breadth Over Depth - and Knowing the Difference 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product-shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud-native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade-offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs-to-be-done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one The Right Mindset for Complex, Inherited Systems An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well-reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self-Direction and Strategic Initiative A proactive self-starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem-solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud-native security SaaS What We Offer Impact : architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice : a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers : a small, high-trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product-shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.

Senior Solutions Architect - Email & Collaboration Security - London UK Why This Role ExistsThe Email & Collaboration Security (ECS) product line sits at the intersection of some of the most consequential challenges in enterprise security today: AI augmented threats, sprawling collaboration surfaces, multi cloud delivery complexity, and the expectation that detection and response capabilities keep pace with a threat landscape that does not wait. This architecture is not greenfield. It carries two decades of accumulated product decisions, integration contracts, and operational constraints. The right candidate understands why that history matters before proposing how to move beyond it. Reasoning about legacy shape and evolutionary trajectory simultaneously is not optional; it is the job. The successful candidate will serve as connective tissue across product management, engineering, and the broader Architecture Leadership Team - turning customer and business problems into coherent, deliverable technical direction, and owning the decisions that give ECS engineering teams a stable foundation to move fast with quality. AI First Ways of Working Mimecast is an AI first engineering organisation and this is an operating expectation. The person in this role is expected to use AI tools as a genuine, daily part of how they work: for design exploration and iteration, documentation, analysis, prototyping, and research synthesis. This means having a real, practised opinion on where AI tooling accelerates quality decisions and where it introduces risk. It also means designing systems that incorporate AI components thoughtfully: understanding the implications of LLM integration, agent boundaries, prompt and data contract stability, and evaluation coverage for AI driven features. Candidates who treat AI tooling as optional or experimental are not the right fit for this role. The expectation is fluency and daily practice, not passing familiarity. ECS Domain Email threat detection and prevention Email security efficacy Collaboration security DMARC analyzer Data platform and observability Analysis and Response End user application integration Internal operations enablement What You Will Do Lead from Problem Space, Not Solution SpaceThe role engages at the problem framing stage, not after requirements have already hardened into tickets. This means facilitating workshops with PMs, UX, and engineers to surface real customer constraints and articulate what good looks like in business and user terms before any technical shape is proposed. Own Integration Contracts as Product ArtefactsThe durable interfaces - APIs, event contracts, data schemas - that connect ECS capabilities to the broader Mimecast platform are first class artefacts owned by this role. They outlast individual features, and the coordination work that makes integrations actually land across teams and time is part of the remit. Build the Architectural ContextEngineering Teams Operate Inside ADRs, service interaction patterns, NFR targets, and data contracts are not documentation - they are the substrate that lets engineering teams and AI assisted development workflows make consistent decisions at scale. The artefacts produced in this role are clear, reasoned, and durable. Govern Without BlockingGovernance is a mechanism for alignment and acceleration, not gatekeeping. Structure and discipline are introduced where they reduce risk or improve quality - and removed where ceremony adds cost without value. The role engages the Chief Architect early, pushes back constructively when platform standards do not fit the ECS context, and helps teams close decisions with conviction rather than endless review. Reason About Cost and Unit EconomicsInfrastructure choices are sized, cost trajectories modelled for new architecture work, and unexpected spend is flagged with a proposed remediation. The frame is cost per outcome - per protected mailbox, per remediated incident - not just monthly AWS spend. Communicate at Every AltitudeA one page decision record that lands with engineers, a solution brief that holds up under senior architecture review, a strategy narrative that resonates with product and commercial leadership - this role operates across all of those registers. Whiteboard sessions produce actual decisions, not just richer ambiguity. What You Will Bring 10+ years building and operating production SaaS systems, with at least 3 years in a Solutions Architect, Principal Engineer, or equivalent role carrying product shaping responsibility A genuinely broad architectural lens - thinking about system shape, data flows, and organisational constraints rather than reaching for the nearest deep technical rabbit hole Comfort operating across cloud native patterns (AWS, Kafka, managed services, distributed event architectures) at high throughput - able to reason about trade offs with confidence, without needing to be the most technically specialist person in the room Product Understanding - Not Just Technical Understanding Prior close collaboration with Product Managers and UX designers, with an understanding of jobs to be done framing and a real opinion on what makes a product bet good - not just a technical bet Genuine customer orientation: asking what problem the customer has before asking how to build the feature Understanding of SaaS unit economics, the commercial implications of architectural choices, and how to reason about scale from a product perspective as well as a systems one An understanding of what twenty years of software history means in a production system - no assumption of greenfield, and no treatment of legacy as only debt; it is accumulated context Structure and discipline as cognitive defaults, not imposed processes - thorough, well reasoned artefacts, and a habit of leaving things clearer than they were found An ability to connect dots across a large picture with many moving parts, make a call, and communicate it clearly - rather than waiting for certainty that will not arrive Self Direction and Strategic Initiative A proactive self starter who identifies the right problems to work on without being told, and drives them to resolution Comfortable acting independently within a set of principles, while keeping the right stakeholders informed and in sync - not seeking permission, but maintaining alignment Thrives with ambiguity and treats it as a problem to be structured, not a reason to pause Learning Orientation - Not Encyclopaedic Knowledge Able to reach a solution even without all the knowledge in front of them - a problem solver who knows how to navigate to an answer, not a mnemonic database AI tooling treated as a core capability multiplier, with a real daily practice in design work, documentation, research synthesis, and prototyping Stays ahead of where the market and the technology are going, and brings that signal back into product and architecture decisions Bonus Points Background in email security, threat detection, DLP, identity, or data platforms Familiarity with agentic AI, MCP (Model Context Protocol), or LLM application architecture Experience with eval design for AI features, product discovery practices, or data contract / data mesh approaches Exposure to M365 or GWS integration patterns, SMTP relay architecture, or cloud native security SaaS What We Offer Impact: architecture decisions that protect millions of mailboxes and shape the technical direction of one of Mimecast's core product pillars Voice: a direct working relationship with the Chief Architect and a genuine say in technology direction - not an advisory lane Senior peers: a small, high trust Architecture Leadership Team where everyone operates at a high level Qualifications Bachelor's degree in Computer Science, Software Engineering, or a related field - or equivalent demonstrable experience 10+ years of professional software engineering and architecture experience, with at least 3 years in a senior architecture or principal engineering role A track record of product shaping responsibility, not just technical delivery Active, daily use of AI development tools in a professional setting - not experimentation, practice Equal Opportunity Employer Mimecast is an equal opportunity employer committed to an inclusive and diverse workplace. We consider everyone equally: your race, age, religion, sexual orientation, gender identity, ability, marital status, nationality, or any other protected characteristic won't affect your application. The base salary range for this position is £124,000 - £186,000 base + benefits. This reflects the minimum and maximum target for new hire salaries for this position. This position may also be eligible for incentive plans and other related benefits. Our salary ranges are determined by role, level, and location. These factors and individual capabilities will also determine the individual pay offered.

Structural Principal Engineer / Discipline Head Job Overview We are seeking an experienced Principal Structural Engineer to take a leading role in delivering complex engineering design across regulated infrastructure sectors. This is a senior position suited to a Chartered Engineer who enjoys combining technical excellence with leadership - someone who can guide design solutions, mentor engineers, an click apply for full job details

At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact We are seeking highly skilled and innovative Machine Learning Scientists to join our AI team, focusing on AI applications (LLM and Computer Vision) in Cloud, Devices and Robotics. As a key member of our research and development efforts, you will play a crucial role in advancing the state of the art in Large Language Models (LLMs), Multimodal Large Language Models (MLLMs), Computer Vision and GenAI technologies for law enforcement and beyond. You will collaborate with cross functional teams to design, develop, and deploy cutting edge LLM, MLLM, CV models and algorithms and solutions that enable intelligent reasoning, perception and understanding of multimodal data. What You'll Do Location: any cities with Axon Engineering Hub in US, Vietnam, EU (see ) EU: Tampere, Finland or London, UK or Brussels, Belgium Responsibilities Own one or more key technical areas across LLM, MLLM, CV product portfolio. Provide technical leadership to junior scientists, guiding the transition of R&D concepts into impactful Axon product feature. Research and develop cutting edge techniques in LLM, MLLMs, GenAI, and Computer Vision across cloud, devices and sensors based data sources. Design and implement efficient and scalable MLLM models for inference and analysis of multimodal data. Explore novel approaches to address challenges in NLP, NLU, Object Detection, Object Recognition, Object Tracking, Segmentation, and Scene Understanding. Optimize AI models, algorithms for performance, memory footprint, and energy efficiency to meet the requirements of resource constrained devices. Join forces with MLEs or firmware or hardware engineers to leverage hardware accelerators and optimize algorithms for specific hardware architectures. Evaluate the performance of LLM, MLLM, CV models using real world datasets and design experiments to validate their effectiveness. Stay up to date with the latest research trends and advancements in computer vision, machine learning, and deep learning, MLLMs, GenAI and integrate relevant findings into our projects. Contribute to patent disclosures, academic publications, and technical documentation to share insights and findings with the broader community. Experience coach and mentor junior scientists. What You Bring PhD and with +5 years for ML Scientist, +8 years for Sr. ML Scientist, years for Principal ML Scientist experience in Computer Science or a related field with a focus on LLM, MLLMs, Computer Vision, GenAI. Proven track record of research excellence in LLM, MLLM, Computer Vision, Robotics Perception, GenAI, demonstrated through publications in top tier conferences or journals. Strong proficiency in programming languages such as Python, C/C++, experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras and experience with ROS or robotic operational system. Drive one or more phases of the ML development lifecycle: shape datasets, investigate modeling approaches and architectures, train/evaluate/tune models and implement the end to end training pipeline. Leverage state of the art research to deliver high quality models enabling multiple AI projects at scale. Contribute back to the research community via academic publications, tech blogs, open source code and contributing to internal/external AI challenges Experience in developing computer vision algorithms for resource constrained devices such as mobile phones, IoT devices, or embedded systems is highly desirable. Excellent problem solving skills, analytical thinking, and the ability to work independently as well as collaboratively in a team environment. Strong communication skills and the ability to effectively present complex technical concepts to both technical and non technical audiences. Benefits that Benefit You Competitive salary and 401k with employer match Discretionary paid time off Paid parental leave for all Fitness Programs Emotional & Mental Wellness support And yes, we have snacks in our offices Benefits listed herein may vary depending on the nature of your employment and the location where you work Don't meet every single requirement? That's ok. At Axon, we Aim Far. We think big with a long term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve. The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions. Some roles may also require legal eligibility to work in a firearms environment. Axon's mission is to Protect Life and is committed to the well being and safety of its employees as well as Axon's impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment. We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We're committed to hiring the best talent - regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances - and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email . Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

hackajob is collaborating with Gemba Advantage to connect them with exceptional professionals for this role. block Please note: This role requires applicants to hold active, or recently active, SC or DV clearance. block This role also requires applicants to be willing to work on-site up to 4 days per week. block At Gemba Advantage, we build secure, user-centred digital products for critical public sector organisations across the UK. Our teams work on complex, high-impact systems, the kind that have to be secure, scalable, and actually usable by the people who rely on them. block block We're looking for Senior and Principal Engineers who want to shape meaningful systems, influence technical direction, and work alongside capable people who care about doing the job properly. You'll help design and build modern cloud-native services, guide engineering standards, and solve genuinely hard problems with our customers.

hackajob is collaborating with Arbor Education to connect them with exceptional professionals for this role. Location: Remote Salary: £100,000 - £120,000 About us At Arbor, we're on a mission to transform the way schools work for the better. We believe in a future of work in schools where being challenged doesn't mean being burnt out and overworked. Where data guides progress without overwhelming staff. And where everyone working in a school is reminded why they got into education every day. Our MIS and school management tools are already making a difference in over 12,000 schools and trusts. Giving time and power back to staff, turning data into clear, actionable insights, and supporting happier working days. At the heart of our brand is a recognition that the challenges schools face today aren't just about efficiency, outputs and productivity - but about creating happier working lives for the people who drive education everyday: the staff. We want to make schools more joyful places to work, as well as learn. About the role As a Principal Software Engineer you will help drive architecture and technical strategy for our Data domain, spanning the entire journey from transactional source to analytical insight. You will evolve how data is leveraged across Arbor, delivering value that ensures our OLAP and AI capabilities provide a competitive edge and our OLTP foundations are built for scale. It's a wide impacting and exciting role, crucial for Arbor's next stage of growth. We're looking for candidates who are highly collaborative, energised by complex problems, and have a proactive approach. You will work collaboratively with multiple teams, Technical Leads, Product Directors, and Engineering Leadership to deliver strategic business objectives, all while reimagining ways of working to ensure we stay at the forefront of the industry's AI evolution. Core responsibilities Define and evangelise target architectures that bridge our transactional, analytical, and AI systems, ensuring our data remains a competitive advantage. Be a leader for our end-to-end data lifecycle, from OLTP schema design and migrations to OLAP governance, platform and analytics. Partner with Technical Leads to provide hands-on guidance supporting feature delivery, tech debt paydown, and architecture improvements. (Hands-on for this role means staying close to the details but not necessarily coding) Collaborate with Product Directors to understand product vision and translate this into deliverables, aligning commercial and engineering goals. Lead our shift to an AI-First way of working, architecting the data foundations to enable AI in our products and championing the latest approaches to help drive productivity gains Architect the future infrastructure required for LLM orchestration, Retrieval-Augmented Generation (RAG), and real-time model inference at scale Mentor and coach Technical Leads/Senior Engineers on architectural and engineering excellence, continually raising our bar and supporting career growth Act as a role model for technical leadership - work with pace, be pragmatic, and stay laser focused on outcomes not output Head up architectural reviews for your domain and ensure all designs meet Arbor's quality, reliability, security and compliance standards. Collaborate with Staff Engineers and Principal Engineers to shape Arbor's broader technology strategy, working outside your domain as needed Partner with Engineering Management to help grow teams, identify and resolve systemic bottlenecks, ensuring the success of our strategic goals Requirements About you Extensive experience overseeing data architecture and a track record of delivering iterative outcomes across one or more OLAP domains Strong understanding of data modelling techniques (Star, Medallion, etc) and distributed data systems within cloud-native environments (Snowflake, etc). Experience in building and leveraging unstructured data across disparate systems to enable product development. Examples of communication and influencing across technical and non-technical audiences to achieve positive outcomes. An ability to support the growth of engineers and technical leads whilst still delivering value across distributed, cross-functional teams. Demonstrable experience working in an ownership culture where quality, performance, observability, and security are core responsibilities for every engineer An understanding and opinion on how AI-first engineering will change the data ecosystem and ways of working, ideally with worked examples Examples of contributing to or leading technical communities of practice (e.g. chapters, guilds, architecture councils). Practical knowledge of DataOps principles, including CI/CD for data and the orchestration of complex pipelines (e.g., AWS, Debezium, Git, Infra as Code). Good commercial knowledge of data security standards, encryption at rest/transit, and relevant compliance laws. Platform financial acumen - demonstrable experience of optimising SaaS platform spend, and the use of forecasting models. Bonus Skills AI/ML Engineering & MLOps, including model deployment/serving and monitoring. Experience with federated learning and/or privacy-enhancing technologies (PETs). Direct experience with LLM Ops, including prompt engineering at scale, and token cost optimisation. Benefits What we offer The chance to work alongside a team of hard-working, passionate people in a role where you'll see the impact of your work everyday. We also offer: A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more! 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas Life Assurance paid out at 3x annual salary Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks Private Dental Insurance with Bupa Salary sacrifice Pension provided by Scottish Widows Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life! Access to services such as Calm and Bippit (financial wellbeing coaching) All of our roles champion flexible working and we are happy to discuss what this means to you Social committees that plan team, office and company wide events to bring people together and celebrate success Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc) Volunteer with a charity of your choice for a day each year Dog friendly offices! Interview process Phone screen 1st stage 2nd stage We are committed to a fair and comfortable recruitment process, so if you require any reasonable adjustments during your application or interview process, please reach out to a member of the team at . Our commitment is also backed by our partnership with Neurodiversity Consultancy, Lexxic who provide us with training, support and advice. Arbor Education is an equal opportunities organisation Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive - whatever their ambitions may be so we support and promote diversity and equality, and actively encourage applications from people of all backgrounds. Refer a friend Know someone else who would be good for this role? You can refer a friend, family member or colleague, if they are offered a role with Arbor, we will say thank you with a voucher valued up to £200! Simply email: Please note: We are unable to provide visa sponsorship at this time.

hackajob is collaborating with Arbor Education to connect them with exceptional professionals for this role. Location: Remote Salary: £100,000 - £120,000 About us At Arbor, we're on a mission to transform the way schools work for the better. We believe in a future of work in schools where being challenged doesn't mean being burnt out and overworked. Where data guides progress without overwhelming staff. And where everyone working in a school is reminded why they got into education every day. Our MIS and school management tools are already making a difference in over 12,000 schools and trusts. Giving time and power back to staff, turning data into clear, actionable insights, and supporting happier working days. At the heart of our brand is a recognition that the challenges schools face today aren't just about efficiency, outputs and productivity - but about creating happier working lives for the people who drive education everyday: the staff. We want to make schools more joyful places to work, as well as learn. About the role We are looking for an experienced and highly knowledgeable Principal Software Engineer (Core Product) to join our Engineering team and help drive architecture and technical strategy across our growing suite of core products. The remit and focus of the role is to work across domains on our most complex problems and critical initiatives, helping teams deliver outcomes whilst ensuring architectural excellence. Over time, this role will go where the value is, meaning you should be excited by working across a range of teams and priorities. It's a broad and exciting role, so we're looking for someone up for a challenge - if you're a collaborative and innovative candidate, this is the role for you. Core responsibilities Own and deliver clear target architectures, strategies and roadmaps to support our product suite and strategic direction. Partner with Technical Leads to provide hands-on guidance supporting feature delivery, tech debt paydown, and architecture improvements. (Hands-on for this role means staying close to the details but not necessarily coding) Collaborate with Product Directors to understand product vision and translate this into deliverables, aligning commercial and engineering goals. Lead our shift to an AI-First way of working, architecting new SDLC foundations and championing the latest approaches to help drive productivity gains across all teams Mentor and coach Technical Leads/Senior Engineers on architectural and engineering excellence, continually raising our bar and supporting career growth Act as a role model for technical leadership - work with pace, be pragmatic, and stay laser focused on outcomes not output Head up architectural reviews for your domain and ensure all designs meet Arbor's quality, reliability, security and compliance standards. Collaborate with Staff Engineers and Principal Engineers to shape Arbor's broader technology strategy, working outside your domain as needed Partner with Engineering Management to help grow teams, identify dependencies/risks, and report progress against strategic goals Requirements About you Extensive track record of delivering outcomes and leading across large, complex product suites, within a scaling and fast-moving environment. Broad understanding of software architecture, system design, and scalable integration patterns observed from a range of environments Examples of communication and influencing across technical and non-technical audiences to achieve positive outcomes. An ability to support the growth of engineers and technical leads whilst still delivering value across distributed, cross-functional teams. Demonstrable experience working in an ownership culture where quality, performance, observability, and security are a core responsibility for every engineer Deep experience guiding teams in architectural design, de-risking complex initiatives through MVP/0-1 thinking, and framework adoption An understanding and opinion on how AI-first engineering will change the SDLC and ways of working, ideally with worked examples Examples of contributing to or leading technical communities of practice (e.g. chapters, guilds, architecture councils). Practical knowledge of and exposure to some of our core stack or equivalent technologies - PHP, Node, React, Python, MySQL, AWS Experience navigating between monolithic and distributed architectures with a pragmatic understanding of the value of each Benefits What we offer The chance to work alongside a team of hard-working, passionate people in a role where you'll see the impact of your work everyday. We also offer: A dedicated wellbeing team who champion initiatives such as mindfulness, lunch n learns, manager training, mental health first aid training and much more! 32 days holiday (plus Bank Holidays). This is made up of 25 days annual leave plus 7 extra company wide days given over Easter, Summer & Christmas Life Assurance paid out at 3x annual salary Comprehensive wellness benefit provided by AIG Smart Health, which provides a 24/7 virtual GP service, Mental health support, Counselling, and personalised Health Checks Private Dental Insurance with Bupa Salary sacrifice Pension provided by Scottish Widows Enhanced maternity and adoption leave (20 weeks full pay) and paternity (6 weeks full pay) pay 5 free return to work maternity coaching sessions, helping you adapt to this new exciting time of life! Access to services such as Calm and Bippit (financial wellbeing coaching) All of our roles champion flexible working and we are happy to discuss what this means to you Social committees that plan team, office and company wide events to bring people together and celebrate success Dedicated professional development training budget (CPD courses, upskilling resources, professional memberships etc) Volunteer with a charity of your choice for a day each year Dog friendly offices! Interview process Phone screen 1st stage 2nd stage We are committed to a fair and comfortable recruitment process, so if you require any reasonable adjustments during your application or interview process, please reach out to a member of the team at . Our commitment is also backed by our partnership with Neurodiversity Consultancy, Lexxic who provide us with training, support and advice. Arbor Education is an equal opportunities organisation Our goal is for Arbor to be a workplace which represents, celebrates and supports people from all backgrounds, and which gives them the tools they need to thrive - whatever their ambitions may be so we support and promote diversity and equality, and actively encourage applications from people of all backgrounds. Refer a friend Know someone else who would be good for this role? You can refer a friend, family member or colleague, if they are offered a role with Arbor, we will say thank you with a voucher valued up to £200! Simply email: Please note: We are unable to provide visa sponsorship at this time.