29 jobs found

Network Engineer with key skills in enterprise networking, Cisco routing & switching, NVIDIA Mellanox and modern data centre networking is sought by a high growth technology organisation based near Worcester. Working within national infrastructure, this Network Engineer will join a close-knit technical team delivering secure, high-performance networking solutions across business-critical and highly secure environments. On a day-to-day basis, this Network Engineer will work across high-performance routing and switching environments including Cisco Catalyst 9300 switching platforms, Cisco Firepower 2100 Series appliances running Firepower Threat Defence (FTD), alongside NVIDIA Mellanox Ethernet switches running Cumulus Linux. This role would suit an experienced Network Engineer with a strong background in enterprise networking who enjoys solving complex routing, switching, firewall and connectivity problems and is comfortable combining hands-on engineering with customer engagement. In return, this Network Engineer can expect a dynamic, engaging and technically challenging environment with excellent progression opportunities and the autonomy to take ownership of complex networking projects using modern data centre technologies. This Network Engineer should have most of the following key skills: - Strong enterprise networking experience across routing & switching - Expert-level knowledge of BGP, OSPF, VLANs, VRRP/HSRP and Spanning Tree - Strong understanding of QoS, Multicast, IPv4/IPv6 and High Availability networking - Hands-on experience with NVIDIA Mellanox Ethernet switches running Cumulus Linux, ideally including MSN2100, MSN3420 or MSN2201 - Experience installing, configuring and supporting Cisco Catalyst 9300 switching platforms - Experience configuring, administering and troubleshooting Cisco Firepower 2100 Series appliances running Firepower Threat Defence (FTD) - Modern data centre networking experience including EVPN, VXLAN, MLAG and Leaf-Spine architectures - Experience producing technical documentation, implementation plans, network diagrams and operational procedures - Experience working within secure, business-critical or air-gapped network environments would be a real plus - Strong customer-facing communication skills with the ability to take ownership of technical projects - Infrastructure as Code using Ansible This Network Engineer will receive: - Starting salary of up to £65,000 - Remote first working environment (when not on-site) - Generous private pension scheme - Bonus scheme - Private healthcare - Training budget & time allocation - 25 days holiday plus bank holidays - Exposure to cutting-edge networking and data centre technologies So if you are a Network Engineer who likes the idea of joining a technically challenging, high growth organisation offering excellent project ownership within a collaborative and autonomous environment, please apply now to be considered. Network Engineer Worcester Network Engineer, Cisco, CCNP, CCIE, Routing, Switching, BGP, OSPF, VLAN, VRRP, HSRP, Spanning Tree, QoS, Multicast, IPv4, IPv6, Cisco Catalyst 9300, Cisco Firepower, Firepower 2100, FTD, NVIDIA, Mellanox, Cumulus Linux, EVPN, VXLAN, MLAG, Leaf-Spine, Ansible, Linux, VMware, ESXi, Network Automation

X3 Network Implementation Engineer in London or nearby London. Engineer will have to work from Friday to Tuesday(including weekends) to perform various activities before LAN/WAP pre-refresh, refresh and post Refresh at Hospital and Gym sites. Engineer will have to travel to various sites, and they will be paid Travel expenses as per actuals. Below is high level JD : Day rate: £300 - £400 (Inside IR35). Need a quick joiner who can start work in next 1 week. Initially 6-weeks, but this could be extended Network Implementation Engineer Key Responsibilities Design, implement, configure, test, and commission complex enterprise network environments, including Cisco Catalyst 9K switching, Cisco Meraki, routing, switching, and WLAN technologies . Lead greenfield and brownfield network implementations, including discovery, requirements validation, detailed planning, staging, deployment, migration, testing, and handover to operations. Lead migration project, Cisco Catalyst 9200/9300 switches to Cisco Meraki switching platforms . Design and implement enterprise-grade Meraki LAN and Wireless solutions . Update network assessments, site surveys, Low-Level Design (LLD), implementation, and migration documentation. Build and configure Meraki Dashboard environments , Switch Profiles and Templates Configure VLANs, Routing, QoS, and Policies Monitor and optimize network performance through the Meraki Cloud Dashboard. Implement and support 802.1X network authentication , MAC Authentication Bypass (MAB) . Integrate network devices with Aruba ClearPass for AAA services. Configure and support TACACS+ authentication and authorization for network device administration. Support network access control, security policies, and role-based access management. Add, onboard, and migrate Cisco Access Points into the Meraki Dashboard . Configure and deploy Cisco wireless to Meraki dashboard. Migrate Aruba Wireless to Cisco Meraki Wireless solution Configure wireless SSIDs, RF profiles, guest access, and security policies. Troubleshoot wireless performance, roaming, and connectivity issues. Design, implement, and optimize enterprise network solutions including Cisco Meraki, Cisco Catalyst/Nexus, Aruba Wireless, SD-WAN, LANand cloud connectivity. Lead network transformation projects involving deployments, migrations, upgrades, refreshes, and global infrastructure modernization initiatives. Develop and maintain technical documentation, including HLDs, LLDs, MOPs, migration plans, test plans, SOPs, and as-built documentation. Provide technical leadership and troubleshooting support for complex network issues, major incidents, cutovers, and service disruptions. Skills & Technologies Networking Cisco Meraki and Catalyst switch 9K expertise Meraki Dashboard Administration Meraki Network Templates Routing Protocols: BGP, OSPF, EIGRP, Static Routing Switching Technologies: VLANs, STP, RSTP, MST, VPC, EtherChannel LAN/WAN Architecture 802.1X Authentication, MAC Authentication Bypass (MAB) TACACS+ Aruba ClearPass Internet, MPLS, DIA, VPN Technologies Wireless Cisco Wireless LAN Controllers and Access Points Aruba Wireless LAN Solutions Meraki Wireless Access Points and Cloud Management Add, onboard, and migrate Cisco Access Points into the Meraki Dashboard . Configure wireless SSIDs, RF profiles, guest access, and security policies. Troubleshoot wireless performance, roaming, and connectivity issues. Management & Monitoring Cisco Meraki Dashboard Network Monitoring and Performance Management Tools Configuration Backup and Compliance Tools ITSM Platforms (ServiceNow preferred) Experience & Qualifications Bachelor's Degree in Engineering, Computer Science, Information Technology, or a related discipline. At least 10 years of hands-on experience designing and implementing enterprise network environments, with strong practical expertise in Cisco Meraki and Cisco Catalyst solutions . Strong design and implementation experience with: WLAN technologies, including Cisco Wireless LAN Controllers and access points, Aruba WLAN, and Meraki Wireless Proven experience in deploying and troubleshooting routers, switches, wireless infrastructure, firewalls, SD-WAN, and WAN circuits. Cisco LAN/WAN Cisco Meraki (Switching, Wireless, SD-WAN, Security Appliances) Palo Alto Firewalls SD-WAN Technologies Strong understanding of enterprise networking architecture, high availability, redundancy, and disaster recovery concepts. Experience managing major incidents, problem management, capacity management, and service improvement initiatives. Excellent stakeholder management, communication, and vendor coordination skills. Certifications such as CCNP Enterprise, CCNP Security, Cisco Meraki Solutions Specialist, PCNSA/PCNSE, Aruba Certified Professional , or equivalent are desirable. Preferred Candidate Profile Strong customer-facing and consulting experience. Ability to operate independently in a global network implementation and project delivery environment. Experience supporting large-scale enterprise and hybrid-cloud network infrastructures. Passion for automation, operational excellence, and continuous improvement.

Senior Dynamics 365 Developer - Utilities CIS Platform Manchester (Hybrid, 2-3 days on-site) An established UK energy supplier is in the middle of a major technology transformation. Dynamics 365 sits at the centre of its customer, sales and operations landscape. The business is looking for a Senior Developer to design and build solutions across its Dynamics 365 and Power Platform estate. The estate is integrated with a utilities billing and CIS platform, Salesforce, middleware and a modern data platform. What the Dynamics 365 Developer will be doing Designing and building scalable, code-led Dynamics 365 and Power Platform solutions that meet architectural standards Developing integrations between Dynamics 365, a utilities CIS/billing platform, Salesforce and middleware Building plugins, custom workflows, APIs and PCF controls Designing Dataverse data models and protecting data integrity across the estate Supporting CI/CD pipelines and structured releases through Azure DevOps Working with BAs, QA, delivery partners and teams across sales, operations, finance, credit and compliance What we're looking for 4+ years of hands-on Dynamics 365 / Power Platform development Strong C#, .NET and JavaScript Proven plugin, custom workflow and API development Strong Dataverse and solution architecture knowledge Experience integrating Dynamics 365 with external systems, including Salesforce and a utilities CIS/billing platform Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

Description At Engine by Starling , we are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. Engine is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and a year ago we split out as a separate business. Starling has seen exceptional growth and success, and a large part of that is down to the fact that we have built our own modern technology from the ground up. The Engine technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. Our technologists are at the very heart of Engine and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Engine is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, and discovering to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of one of our offices so that we're able to interact and collaborate in person. About Engineering at Engine by Starling - We're looking for a Staff Infrastructure Engineer to help us design, build and run the cloud foundations our first-in-class, cloud-native banking platform is deployed on - across multiple regions and cloud providers globally. You'll be an inquisitive engineer with an aptitude for finding clean and simple solutions to technical problems, passionate about building observable, reliable and secure systems that positively impact the wider engineering organisation. Engine by Starling engineers are excited about helping us deliver new features, regardless of what their primary tech stack may be. Hear more from the team in our latest Blog or our case studies with Women in Tech. As a Staff Infrastructure Engineer, you will: Design, document, build and maintain scalable infrastructure on GCP Ensure the performance and reliability of cloud environments whilst measuring cost-effectiveness Embrace automation and be reluctant for manual implementation Build systems with security by design as a core foundation Ensure platform compliance with standards such as ISO 27001, SOC 2, PCI DSS and 3DS Design and operate key and secret management on GCP - Cloud KMS, Cloud External Key Manager (EKM) and Secret Manager - including support for cryptographic key ceremonies Rapidly diagnose and fix client-reported infrastructure issues while maintaining peak security and performance Write clear technical documentation and host training sessions for the team Demonstrate knowledge of new technologies and changes in the industry Lead complex infrastructure projects from inception through to run, and shape the future capabilities of Engine - our approach, tooling, automation and architecture Lead by example in your contributions, setting a high technical bar for others to aim for Requirements We're open-minded when it comes to hiring and we care more about aptitude and attitude than specific experience or qualifications. If you care enough to find elegant solutions to difficult technical problems, we'd love to hear from you. As a Staff Infrastructure Engineer you will bring the below experience or knowledge: Proven GCP multi-region disaster recovery experience Confident at bootstrapping Google Cloud Organisations, hardening with policies and structuring an enterprise's resource hierarchy Experience with Google Cloud Platform (GCP) services including GKE, Compute Engine, Network Connectivity Center, Cloud SQL, Identity and Access Management (IAM) and VPC Service Controls Experience writing clean, modular Terraform code Experience with service-oriented architecture using containers, distributed systems and immutable infrastructure Experience with key and secret management on GCP - Cloud KMS, Cloud External Key Manager (EKM) and Secret Manager - including cryptographic key ceremonies Experience designing hybrid connectivity from GCP to co-located Payment HSMs using Network Connectivity Center (NCC), Cloud VPN and Dedicated / Partner Interconnect Experience with Workload Identity and Workload Identity Federation for keyless authentication of workloads and CI/CD Experience with observability tooling - Cloud Monitoring, Cloud Logging, Cloud Trace, Managed Service for Prometheus and OpenTelemetry (we also use Grafana) Experience setting up Google Workspace / Google Cloud Identity Experience with automation using a scripting language like Python or Go Experience implementing CI/CD pipelines An understanding of RESTful API and event-driven concepts Comfortable writing RFCs and ADRs which can be taken from design to implementation and into Production with documented runbooks and operating models Ideally you also have: Experience with Zero Trust security (mTLS, SSO) Experience with AWS Comfortable with bash and either Golang, Java or Python development Understanding of database monitoring, analysis, disaster recovery and performance tuning Understanding of networking and routing concepts (TCP/IP, VLANs, VPNs, BGP, etc.) and preferably experience designing and establishing connectivity between GCP and on-premise locations Awareness/ability to leverage Claude Skills during development The main part of our tech stack is listed below. We don't ask that you have experience in all of it, but if you do, that's great! Java, which makes up the majority of our backend codebase GCP and AWS - we're cloud-native Container-based architecture Kubernetes (GKE on GCP, EKS on AWS) TeamCity for CI/CD (with multiple production releases per day) Terraform and Grafana RDS and CloudSQL for PostgreSQL Our Interview Process Interviewing is a two-way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: Initial interview with an Engineer - 45 minutes Take-home technical test, to be discussed in the next interview Technical interview with some Engineers - 1.5 hours Final interview with our CTO / deputy CTO - 45 minutes Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing About Us You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Engine by Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Engine by Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent . click apply for full job details

Starling Bank is the UK's first and leading digital bank on a mission to fix banking with more than 3,000 people in our UK offices and 4 MILLION customers in the UK! We built a new kind of bank because we knew technology had the power to help people save, spend and manage their money in a new and transformative way. Now we present Engine by Starling. Engine by Starling is Starling's software-as-a-service (SaaS) business, the technology that was built to power Starling Bank, and over a year ago we split out as a separate business. We are on a mission to find and work with leading banks all around the world who have the ambition to build rapid growth businesses, on our technology. This SaaS technology platform is now available to banks and financial institutions all around the world, enabling them to benefit from the innovative digital features, and efficient back-office processes that has helped achieve Starling's success. At Engine by Starling, our technologists are at our very heart and enjoy working in a fast-paced environment that is all about building things, creating new stuff, and disruptive technology that keeps us on the cutting edge of fintech. We operate a flat structure to empower you to make decisions regardless of what your primary responsibilities may be, innovation and collaboration will be at the core of everything you do. Help is never far away in our open culture, you will find support in your team and from across the business, we are in this together! The way to thrive and shine within Engine is to be a self-driven individual and be able to take full ownership of everything around you: From building things, designing, and discovering to sharing knowledge with your colleagues and making sure all processes are efficient and productive to deliver the best possible results for our customers. Our purpose is underpinned by five values: Listen, Keep It Simple, Do The Right Thing, Own It, and Aim For Greatness. Hybrid Working We have a Hybrid approach to working here at Engine - our preference is that you're located within a commutable distance of place of work in London, so that we're able to interact and collaborate in person. Supporting these activities on client sites means the role will require travel around Europe, and occasional further travel. About the role As a Solution Architect (SA) you will use your understanding of the Engine technology and architecture to explain the Engine product, uncover client requirements and support the design of client solutions. You will be involved in both the sales and delivery phases of a project as well as ongoing client success, collaborating with teams across Engine in Technology, Delivery, Product, Client Success and Business Development. What you'll get to do: This role blends deep technical expertise with strong communication and collaboration skills. You'll become an Engine expert, understanding its architecture, technology, and functionality, allowing you to effectively communicate its capabilities and value to both technical and non-technical audiences. You'll lead on technical designs during the Engine implementation phase, building relationships with a variety of stakeholders within clients and SI partners such as their Engineering leads and Service Owners. You will work closely with our clients and SI partners on the technical detail of implementing Engine, providing solutions to identified requirements and working with our Product and engineering teams to fulfil them. Your contributions will also extend to shaping Engine's product roadmap and supporting existing clients with additional capabilities to meet their strategic aims. You'll help them maximise Engine's current and future capabilities to solve their requirements and meticulously document scope and roadmap decisions to guide subsequent delivery waves, bringing in expertise from our Product Owners and engineering teams where required. You will also be a technical champion for our existing clients, ensuring their ongoing success. This includes taking ownership of the technical aspects of client deliveries, collaborating closely with our SI partners to overcome challenges and achieve seamless integrations. You'll provide expert guidance to client engineering teams, using documentation, API specifications, and sequence diagrams to foster a deep understanding of Engine's architecture and functionalities. Additionally, you will collaborate closely with our Client Success team to troubleshoot technical issues, translate client needs into new technical requirements, and architect innovative solutions that enhance the Engine platform. Requirements Must Have Experience of end-to-end software engineering / solution architecture across the software delivery lifecycle Experience with software service design and integration, such as RESTful APIs, OpenAPI specification and sequence diagrams Experience of cloud infrastructure and large-scale cloud applications Experience working in a client-facing role and building relationships with stakeholders Strong interpersonal communication and collaboration skills. Experience delivering complex messaging to technical and non-technical stakeholders. You possess fluent English language skills, and are fluent in at least one relevant regional European language (ideally French or Spain) Nice to Have Experience relating to retail or business banking, core banking, card processing or payments. Experience of delivery and implementation of core banking or large-scale digital transformation programmes, application migration and solution integration Commercial acumen with experience of building business cases Experience in a SaaS organisation in a Client Solutions or Client Engineering role Knowledge of financial regulations around the world Speaking multiple european languages is a massive plus About you You have a focus on delivery and getting things done for a client You have the ability to work well with people from a variety of levels, roles and technical backgrounds You're able to communicate clearly about technical subjects You're comfortable working in a varied role, collaboratively in a team, with a flat structure You're comfortable travelling nationally to our London office (initial upskilling will require a period of time working with our Engineers & Product team in London) You're comfortable travelling internationally Interview Process Interviewing is a two way process and we want you to have the time and opportunity to get to know us, as much as we are getting to know you! Our interviews are conversational and we want to get the best from you, so come with questions and be curious. In general you can expect the below, following a chat with one of our Talent Team: First Interview (45 mins) - Phone/Video call with existing Engine team members. Second Architecture Interview, including small presentation/system design (90 mins) Final Interview (60 mins) Benefits 33 days holiday (including public holidays, which you can take when it works best for you) An extra day's holiday for your birthday Annual leave is increased with length of service, and you can choose to buy or sell up to five extra days off 16 hours paid volunteering time a year Salary sacrifice, company enhanced pension scheme Life insurance at 4x your salary & group income protection Private Medical Insurance with VitalityHealth including mental health support and cancer care. Partner benefits include discounts with Waitrose, Mr&Mrs Smith and Peloton Generous family-friendly policies Incentives refer a friend scheme Perkbox membership giving access to retail discounts, a wellness platform for physical and mental health, and weekly free and boosted perks Access to initiatives like Cycle to Work, Salary Sacrificed Gym partnerships and Electric Vehicle (EV) leasing You may be put off applying for a role because you don't tick every box. Forget that! While we can't accommodate every flexible working request, we're always open to discussion. So, if you're excited about working with us, but aren't sure if you're 100% there yet, get in touch anyway. We're on a mission to radically reshape banking - and that starts with our brilliant team. Whatever came before, we're proud to bring together people of all backgrounds and experiences who love working together to solve problems. Starling is an equal opportunity employer, and we're proud of our ongoing efforts to foster diversity & inclusion in the workplace. Individuals seeking employment at Starling are considered without regard to race, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, physical or mental disability, military or veteran status, or any other characteristic protected by applicable law. When you provide us with this information, you are doing so at your own consent, with full knowledge that we will process this personal data in accordance with our Privacy Notice. By submitting your application, you agree that Starling may collect your personal data for recruiting and related purposes. Our Privacy Notice explains what personal information we may process, where we may process your personal information, its purposes for processing your personal information . click apply for full job details

Technical Consultant Location : London Our client is looking to hire a Technical Consultant, expected to be experienced in scoping, designing and delivering a variety of Microsoft Azure technologies to a range of clients across multiple sectors. A regular commitment to attend customer sites (in and around London) and their office location based in North Greenwich. The ideal candidate will play a key role in developing their future offerings within the Azure space, including both one-off engagements and managed services - experience in the pre-sales process would also be desirable. Suitable experience of Microsoft 365, networking and traditional on-premises technologies would be beneficial, alongside a desire to keep pace with AI in relation to Microsoft products and beyond. Role Overview: Core Azure platform Designing, deploying and supporting Azure IaaS - VMs, availability sets/zones, scale sets, managed disks, storage accounts Azure networking: VNets, subnets, NSGs, peering, VPN and ExpressRoute, Azure Firewall, Application Gateway, Front Door, private endpoints and DNS Hybrid integration with on-premises services Azure Backup, Site Recovery and broader BCDR design and testing Identity and security Microsoft Entra ID tenant design, hybrid identity, Entra Connect, Conditional Access, MFA, PIM and RBAC Microsoft Defender for Cloud and Defender XDR, Sentinel, secure score remediation Key Vault, encryption, certificate and secrets management Azure Policy, management groups, landing zone and governance design (Cloud Adoption Framework / Well-Architected Framework) Migration and modernisation Discovery and assessment using Azure Migrate; lift-and-shift and re-platforming of server and application workloads and any experience of 3rd party capability SQL Server migration to Azure SQL / Managed Instance Windows Server and SQL end-of-support upgrade paths, Azure Hybrid Benefit and licensing awareness Azure Virtual Desktop / Windows 365 design and deployment Automation, monitoring and operations Infrastructure as Code - Bicep, ARM or Terraform PowerShell scripting and Azure CLI; Azure Automation, Update Manager, Logic Apps Azure Monitor, Log Analytics, alerting, dashboards and cost management/FinOps Responsibilities Running workshops and discovery sessions with technical and non-technical stakeholders Producing HLDs, LLDs, as-built documentation and handover to internal and external teams Scoping and estimating work, contributing to bids and pre-sales conversations Working to project timelines and mentoring junior engineers Required Certifications: The ideal candidate should have the following as a minimum: AZ-104 (Azure Administrator Associate) You should also have or be working towards immediate completion of at least some of the following certifications: AZ-305 (Azure Solutions Architect Expert) AZ-700 (Azure Network Engineer Associate) AZ-140 (Azure Virtual Desktop Specialty) If you don't tick all the boxes but feel you have a strong foundation with at least some of the products and technologies and have the aptitude and drive to grown, learn and develop with their team, then we want to hear from you. Apply through this advert and we will reach out to you

Clearing Full Stack Developer Hybrid Working - London -50% a week on site. Financial Services Lorien's leading banking client is looking for an experienced Full Stack Developer to join a major greenfield technology programme within Financial Services. You will be part of a team building a brand-new Asset Servicing platform , replacing both an existing legacy internal system and a US-based vendor solution. This is a long-term transformation programme offering the opportunity to work across modern front-end, BFF and microservices-based backend technologies. The role requires genuine full-stack development experience , although candidates can be stronger on either the front-end or backend. The ideal candidate will be a hands-on Full Stack Developer who is comfortable working across Angular/React, TypeScript/Node.js, Java microservices and SQL . You may naturally lean towards either front-end or backend engineering, but you will have sufficient experience across the stack to contribute to the end-to-end solution. Previous experience building platforms within Financial Services and particularly Asset Servicing or settlement environments would be a significant advantage. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 50% a week on site. Key Responsibilities Design, develop and deliver functionality across the full technology stack. Build modern user interfaces using Angular , with React experience also considered. Work within a Micro Front End (MFE) architecture. Develop Backend for Frontend (BFF) services using TypeScript and Node.js . Design and develop backend services using Java and microservices architecture . Support the migration from Java 8/11 towards Java 21/23 . Develop and integrate solutions using MS SQL Server . Work closely with engineering, architecture, product and business teams to translate requirements into scalable technical solutions. Contribute to technical design, architecture decisions and engineering best practices. Support the replacement and migration away from existing legacy and vendor platforms. Technical Experience Strong commercial Full Stack Development experience. Angular development experience preferred; strong React candidates will also be considered. Experience working with Micro Front End architectures . TypeScript / Node.js , ideally within a BFF architecture. Strong Java development experience, ideally Java 8/11 and exposure to newer versions. Experience developing microservices-based applications . Strong relational database experience, ideally MS SQL Server . Experience working on complex enterprise-scale applications. Highly Desirable: Architecture and solution design experience. Experience modernising or replacing legacy technology platforms. Financial Services experience. Experience within Asset Servicing, Asset Management, Securities or Investment Banking environments. Domain Knowledge Knowledge of the asset and settlement lifecycle would be particularly beneficial, including: Asset servicing and securities processing. Settlement operations. Trade corrections and correction lifecycles. Clearing and execution. Trade booking and downstream processing. Understanding of how transactions flow across front, middle and back-office systems. IND_PC3 Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

AI SECURITY ARCHITECT LONDON DV Clearable 5 Days On-Site Looking for your next opportunity at the forefront of AI and cyber security? This is a unique opportunity to shape the security strategy, governance and architecture of AI solutions within a highly secure and complex environment. You'll play a key role in ensuring AI technologies are deployed safely, securely and compliantly, while helping to define the future of AI security standards and best practice. Location: London (5 days per week on-site) Contract Length: 12 Months Must be Eligible for DV Clearance What You'll Do Define and maintain AI security architectures aligned to enterprise risk and security objectives. Develop secure AI standards, reference architectures and security design patterns. Support the secure deployment and accreditation of AI solutions across the organisation. Work closely with security, compliance and architecture teams to ensure AI systems meet regulatory and governance requirements. Conduct security assessments, design reviews and risk analysis for AI initiatives. Produce security documentation, risk assessments and compliance evidence. Advise senior stakeholders on AI security risks, controls and best practices. Help identify opportunities to leverage AI within cyber security and protective monitoring capabilities. What We're Looking For Strong experience in Information Security Architecture or Security Assurance . Experience working with AI systems, machine learning technologies or emerging AI platforms . Proven ability to design and implement security controls for large-scale technology programmes. Strong understanding of security risk management, threat modelling and security governance. Experience engaging and influencing stakeholders at all levels. Knowledge of security frameworks and standards such as NIST , AI security guidance and industry best practice. Excellent communication and documentation skills. Highly Desirable CISSP, ISSAP, CISM, SANS or similar security qualifications. AI-focused certifications such as AIGP , Certified AI Security Engineer or ISO 42001 . Experience supporting security accreditation and compliance activities. Experience within highly regulated, defence, government or national security environments. DV Clearance Eligibility Requirements UK residency history with a clear and verifiable background. Strong financial integrity with no significant unresolved issues. Ability to successfully undergo enhanced security vetting and referencing. If you're passionate about securing next-generation AI technologies and shaping security standards in a highly influential environment, we'd love to hear from you. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

STRATEGIC DATA ARCHITECTS LONDON DV Clearable 5 Days On-Site Looking for your next Data Architecture opportunity? This is a rare chance to help shape the future of enterprise data within a major organisation undergoing significant transformation. You'll play a key role in defining data strategy, driving cloud adoption, improving interoperability, and building the foundations for future AI and analytics capabilities. What You'll Do Define and evolve enterprise-wide data architecture and strategy. Support the transition to a modern cloud-based data platform. Develop and embed data standards, architecture principles and governance frameworks. Design and assure interoperable data solutions across complex business environments. Collaborate with delivery teams to improve data quality, consistency and reuse. Contribute to data strategy, metadata management and AI-related initiatives. Engage with senior stakeholders to influence architectural decisions and long-term direction. What We're Looking For Experience in Data Architecture, Data Modelling or Enterprise Data Strategy. Strong understanding of data standards, interoperability and governance. Experience designing data lakes, data warehouses, lakehouses, data meshes or modern data platforms. Familiarity with metadata management, data catalogues or related tooling. Strong stakeholder engagement and influencing skills. Ability to operate effectively in complex, ambiguous environments. A strategic mindset combined with the ability to drive practical outcomes. Desirable Experience Cloud migration and cloud-native data architecture. Ontologies, semantic modelling or knowledge graphs. AI-enabled data architectures and emerging technologies. Experience developing enterprise data standards and frameworks. DV Clearance Eligibility Requirements UK residency history with a clear and verifiable background. Strong financial integrity with no significant unresolved issues. Ability to successfully undergo enhanced security vetting and referencing. If you're looking to work on large-scale data transformation, cloud migration and enterprise architecture programmes within a highly secure environment, we'd love to hear from you. Apply now for immediate review. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

An exciting opportunity has arisen for an experienced Head of Software Engineering to lead engineering, architecture, and technology delivery within a growing organisation undergoing significant digital transformation. You'll be responsible for shaping technology strategy, leading engineering teams, and ensuring business-critical platforms remain secure, scalable, and aligned with organisational goals. Reporting into the executive leadership team, you'll influence the future direction of technology while driving innovation, efficiency, and operational excellence. What You'll Be Doing Leading software engineering and architecture functions Defining technology strategy and platform roadmaps Delivering scalable and maintainable technology solutions Supporting digital transformation and AI initiatives Driving development standards, governance, and quality assurance Managing integrations between internal systems and third-party platforms Developing high-performing technical teams Collaborating with business leaders and technology partners Essential Skills Technology leadership experience within engineering, architecture, or software delivery Hands-on experience with .NET 8, Azure Functions, EF Core, SQL Server/Azure SQL, React and Azure services , delivering scalable business-critical applications. Strong knowledge of cloud technologies and modern development practices Experience leading software engineering teams (circa. 10-20 heads) Enterprise systems integration experience DevOps and CI/CD knowledge Strong stakeholder management and communication skills Nice to Have Financial services or regulated industry experience Microsoft technology ecosystem experience Digital transformation programme delivery

Lead AI-Enabled DevOps Engineer / DV Clearable / 5 days a week on-site Technical leadership at the intersection of software, platforms, and AI We're seeking a Lead AI-Enabled DevOps Engineer to join a growing engineering capability and play a central role in shaping how AI is embedded into real, production-grade software systems . This is not a traditional people-management role . Instead, you'll lead through technical depth, architectural judgement, and delivery experience by setting direction, guiding teams, and making informed decisions as AI capabilities are integrated into modern software platforms. If you enjoy working where architecture, APIs, DevOps, and AI meet , and you care about building systems that are secure, operable, and genuinely useful, this role offers the chance to have real impact. What you'll be doing Your focus will be on enabling AI within modern, API-first software platforms , particularly where legacy or existing systems need to evolve to support new capabilities safely and effectively. You will: Provide technical leadership across AI-enabled software and DevOps engineering teams Set architectural direction for API-first design, system integration, and platform enablement for AI Lead the modernisation of legacy or existing applications toward service-based, API-driven architectures Define and guide integration patterns between applications, platforms, and AI services Make pragmatic decisions about when and how emerging AI integration approaches (e.g. protocols such as MCP) should be adopted Work closely with architects, product teams, data scientists, and platform engineers to deliver end-to-end solutions Ensure solutions meet standards for security, resilience, performance, and operability Anticipate and manage architectural and operational risks associated with AI-enabled systems Champion strong engineering practices across software development, DevOps, and platform engineering Lead by example in complex environments where production reliability matters This is delivery-focused leadership , not experimentation for its own sake. What we're looking for We're looking for someone who combines senior technical credibility with the confidence to guide others and shape direction. Essential experience: Strong background as a Senior or Lead Software Engineer, Lead DevOps Engineer , or similar hands-on leadership role Excellent software engineering fundamentals: system design, clean code, testing, and long-term maintainability Deep experience designing and delivering API-driven and microservice-based systems Proven ability to modernise or integrate legacy systems into modern platforms Solid development experience in TypeScript and Python Experience spanning software delivery, CI/CD, infrastructure, and operations Comfortable setting direction and influencing teams without relying on formal authority Able to balance innovation with pragmatism in production environments Desirable experience: Integrating software systems with AI platforms or AI-enabled services Exposure to emerging AI integration patterns or protocols (e.g. Model Context Protocol ) Platform engineering or DevOps at scale Experience working in regulated or security-conscious environments Defining technical standards or architectural direction across multiple teams You'll be trusted to make decisions that matter, and supported by teams who value strong engineering leadership. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Platform Engineer - DV Clearable - 5 Days On-Site Build and operate the platforms that make AI and machine learning work at scale We're looking for a Senior Platform Engineer to join our team and play a key role in designing and operating the platform that underpins AI and machine learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine learning and LLM workloads are trained, packaged, deployed, and served, this is not a "deploy models all day" role . Instead, your impact will come from creating the infrastructure, tooling, workflows, and guardrails that allow others to do that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI / ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific capabilities , rather than treating it as a finished product Provideplatform-level support for: Model development and experimentation Model packaging, deployment, and promotion Scalable inference and LLM-based workloads Build shared platform services that enable consistent, repeatable model deployment , even where day-to-day deployment is owned by MLOps or ML engineers Work closely with data scientists and MLOps engineers to ensure the platform is genuinely usable and fit for purpose Own platform operability, reliability, security, and lifecycle management in production Troubleshoot complex issues that cut across infrastructure, Kubernetes, and MLOps layers Contribute to architectural decisions while remaining hands-on with implementation What we're looking for This role is ideal for someone who sees themselves first and foremost as a platform engineer , with the depth to support AI and ML workloads properly. Essential experience: Strong background as a Senior Platform Engineer or Senior DevOps Engineer Deep, hands-on experience building and operating Kubernetes-based platforms Strong practical experience with Helm and Infrastructure as Code (e.g. Terraform) Proven experience building internal platforms for other engineers , not just running workloads Strong grasp of operational fundamentals: monitoring, logging, reliability, incidents, and maintainability Comfortable collaborating closely with MLOps engineers and data scientists , even where responsibilities differ ML platform & MLOps knowledge (important) You don't need to be a full-time MLOps engineer - but you do need practical understanding of how ML and AI workloads behave in production. Experience or exposure to areas such as: MLOps platforms (e.g. Kubeflow or similar frameworks) Model serving and inference platforms (e.g. KServe, vLLM , or equivalent) Supporting LLM-based workloads , including performance and scaling considerations Notebook environments such as JupyterHub Awareness of emerging tooling around Responsible / Trustworthy AI or comparable solutions This ensures you're building a platform that actually works for AI use cases - not a generic compute layer. Desirable experience Working in organisations with a clear AI or data platform strategy Supporting data scientists or ML engineers at scale Experience in regulated, secure, or high-assurance environments Designing platforms that balance flexibility, governance, and control If you enjoy solving hard platform problems and understand that AI places real, specific demands on infrastructure, this role gives you the space and responsibility to make a genuine impact. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior AI-Enabled DevOps Engineer / DV Clearable / 5 days a week on-site Build and operate modern software systems where AI meets production reality We're looking for a Senior AI-Enabled DevOps Engineer to join a growing engineering capability working on complex, important software systems that increasingly embed AI to improve delivery, decision-making, and operational effectiveness . This is a hands-on senior engineering role for someone who enjoys operating across software development, DevOps, and modern cloud platforms . You won't be a people manager, but you will be a trusted senior engineer, shaping technical approaches, raising engineering standards, and helping teams deliver reliable systems in production. What you'll be doing At the core of this role is building well-engineered, production-grade systems that integrate cleanly with AI platforms and services. You will: Design, build, deploy, and operate AI-enabled software and platform solutions Develop API-driven services and integrations that allow systems to interact effectively with AI capabilities Modernise existing applications towards service-based, cloud-native architectures Implement and operate integration mechanisms between software systems and AI platforms , including emerging patterns and protocols where appropriate Use AI tools to improve engineering productivity - while maintaining full accountability for quality, safety, and correctness Review, validate, and guide AI-generated code and outputs , ensuring they meet real engineering and operational standards Build services in TypeScript and Python , supported by strong testing and clean code practices Package, deploy, and operate workloads using Kubernetes (e.g. Helm) and Infrastructure as Code (e.g. Terraform) Work closely with other engineers, platform teams, and AI specialists to deliver integrated, end-to-end solutions Take responsibility for systems running in production , not just code that passes a build What we're looking for This role suits an experienced senior engineer who brings breadth, pragmatism, and strong engineering judgement . Essential experience: Proven experience as a Senior Software Engineer, Senior DevOps Engineer , or similar hands-on role Excellent software engineering fundamentals: system design, maintainable code, testing, and operability Strong experience building API-first or service-based systems Proficiency in TypeScript and Python Hands-on experience deploying and operating production systems using containers and automation Confidence working across development, deployment, and operational concerns A track record of owning technical outcomes in complex environments Desirable experience: Integrating software systems with AI platforms or AI-assisted workflows Exposure to emerging AI integration approaches or protocols (e.g. MCP) Platform engineering or DevOps at scale This is an opportunity to sit at the intersection of modern software engineering, DevOps, and applied AI , working on real production systems rather than experiments or demos. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

Actuary - DB Pensions Hybrid Working Financial Services Lorien's leading Pensions and Investment client is looking for an experienced Actuary with strong expertise across pensions, life insurance and/or longevity reinsurance to support complex reinsurance administration, reconciliation and actuarial modelling activities. The successful candidate will combine strong actuarial and commercial knowledge with hands-on experience of DB pension schemes, cashflow modelling and pension de-risking solutions . The role will also work closely with Technology and Data teams to enhance reinsurance systems, data processes and controls. The Ideal candidate has strong hands-on experience working with DB Pension Schemes, and Cash Flow Modelling. This role is working in a Hyrid Model of 2 days a week at a local site. This role will be Via Umbrella. Key Responsibilities Complete detailed reinsurance reconciliations, ensuring administration aligns with underlying treaty terms. Reconcile inception data, claims and premium projections, movements and lump-sum settlements. Assess and implement reconciliation impacts on collateral calculations and produce clear management reporting. Design and maintain sophisticated Excel cashflow models covering premiums, claims, lump sums and collateral valuations. Ensure historic actuarial basis reviews have been implemented accurately. Act as a key escalation point for dispute resolution, investigating issues and facilitating timely outcomes. Establish robust modelling processes, documentation, audit trails and version controls to support governance and risk management. Work with Technology, Data and Architecture teams to design and develop centralised reinsurance treaty administration capabilities. Configure, test and validate reinsurance arrangements, including calculations, cashflows, collateral mechanics and contractual benefits. Develop and test end-to-end data feeds, ensuring data accuracy, completeness and auditability. Experience & Skills 5+ years' experience within pensions, life insurance and/or longevity reinsurance. Extensive experience completing reinsurance reconciliations. In-depth knowledge of Defined Benefit (DB) pension schemes and interpretation of scheme rules. Strong knowledge of benefit calculations including GMP, revaluation, increases in payment and early/late retirement adjustments. Strong experience building actuarial cashflow projection models in Excel. Good understanding of reinsurance treaties, premiums, claims and collateral calculations. Strong analytical, reconciliation and problem-solving capability. Ability to communicate complex actuarial issues clearly to both technical and non-technical stakeholders. Experience working with Technology/Data teams on systems, data feeds, testing or reinsurance administration solutions. Commercial knowledge of pension de-risking products, including bulk annuities and longevity swaps, is highly desirable. IND_PC3 Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.

Introduction Saab UK is part of Scandinavia's largest defence company, bringing together the best of Swedish and British innovation. Saab offers world-leading solutions and services in defence, aviation, space, and civil security to keep people and society safe. Our UK presence has been growing at pace, meaning we can offer a wide range of opportunities for personal fulfilment and career growth. We currently employ over 600 people across eight sites in the UK, and our specialisations include software engineering, underwater robotics, radars, AI, and armed forces training. The Role: This role is part of our BlueBear Business Unit. To act as the primary authority and strategic leader for the Systems Engineering discipline. You will be responsible for defining the technical vision, governance, and methodologies used to design, integrate, and verify complex aerospace and defence solutions. The role ensures that all engineering activities align with Lifecycle Management (LCM) processes and meet the evolving needs of customers like the UK MoD and international partners. Key Responsibilities: Strategic Leadership: Set the technical direction for the systems engineering department, promoting "Systems Thinking" and agile methodologies to improve project execution and system architecting. Engineering Governance : Act as the focal point for Systems Engineering Governance, overseeing Lifecycle Management (LCM) activities including bids, design reviews (SRR, PDR, CDR), and audits. Capability Development: Drive the continuous improvement of departmental capabilities, including the implementation of Model-Based Systems Engineering (MBSE) and digital transformation initiatives. Technical Authority: Serve as the senior escalation point for complex technical issues, resolving architectural conflicts and ensuring the mitigation of emergent behaviours at a "System of Systems" level. Departmental Management : Lead and mentor a team of Systems Engineers and Subject Matter Experts (SMEs), managing resource allocation, recruitment, and succession planning. V&V Strategy: Oversee the creation and enactment of robust Verification, Validation, and Qualification (IVVQ) strategies to ensure solutions meet all safety, security, and performance requirements. Stakeholder Engagement: Build and maintain high-level relationships with internal IPT leads and external stakeholders (customers/suppliers) to elicit requirements and influence technical roadmaps. Process Standards: Ensure all activities adhere to industry standards (e.g., INCOSE, ISO 15288) and internal quality, safety, and airworthiness policies. Skills and Experience: Essential Skills: Leadership : Significant experience leading multi-disciplinary engineering teams (typically 10+ staff) in a high-complexity defence or aerospace environment. Systems Expertise: Deep knowledge of the full systems engineering lifecycle, including requirements elicitation, architectural design, and complex systems integration. Communication: Exceptional interpersonal skills with the ability to influence senior stakeholders and act as a change agent for engineering excellence. Business Acumen: Experience managing engineering budgets, work package estimation, and identifying technical risks/opportunities within bids. Desirable Skills: Degree in Systems Engineering, Aerospace, Mathematics, or a related scientific discipline (Masters or PhD preferred). Chartered Engineer (CEng) status and membership in professional bodies like INCOSE. Methodologies: Proven experience with MBSE tools and "Design for Excellence" (DfX) concepts. Ability to obtain and maintain UK Security Clearance to SC or DV level. Saab UK Company Benefits: 30 days annual leave Workplace pension scheme with 8% company contribution Private medical insurance Group income protection scheme Death in service insurance Up to 5% share matching scheme Company enhanced Maternity/Adoption & Paternity leave. + Much more The above is not an exhaustive list of duties. You will be expected to perform different tasks as necessitated by your evolving role within the company and the overall business objectives of the company. By submitting an application to Saab UK you consent to undertaking workforce screening activities that may include but are not limited to: Baseline Personnel Security checks, National Security Vetting, reference checks, verification of working rights and in all circumstances preferred candidates will be placed through a security interview.

Lead Data Engineer (AI & Data Platforms) Must Be DV Clearable 5 Days Onsite Hands-on technical leadership building data and AI systems that actually work We're looking for a Lead Data Engineer to join a growing enterprise data and AI capability, playing a critical role in designing, building, and operating production-grade data platforms and AI-enabled solutions. This is not a line-management role . Instead, it is a senior, hands-on technical leadership position for someone with deep data engineering experience who leads through delivery, technical judgement, and engineering excellence rather than hierarchy. You will work across complex environments spanning legacy platforms, modern cloud services, advanced analytics, machine learning, and emerging AI technologies. The challenge isn't greenfield experimentation; it's building robust production systems, operationalising AI capabilities, improving what exists, and helping teams use data and AI safely, effectively, and at scale. We're particularly interested in engineers who have helped organisations establish the foundations for AI-led development, including data platforms, ML pipelines, governance frameworks, deployment processes, and production support models. What You'll Be Doing You'll act as a senior technical anchor for both data engineering and AI-enablement initiatives, contributing directly while guiding others through example. You will: Design, build, and enhance enterprise-scale data platforms, pipelines, and services Lead complex data engineering work end-to-end, from problem definition and exploration through build, testing, deployment, and operational support Build and maintain cloud-native data platforms that support analytics, machine learning, and AI workloads Develop robust data pipelines supporting both traditional analytics and AI/ML use cases Work directly with technical and non-technical stakeholders to translate operational problems into scalable data and AI solutions Design data models, integration patterns, and storage structures that support long-term maintainability and reusability Help establish engineering frameworks for AI-led development, including environments, CI/CD processes, testing strategies, governance controls, and deployment standards Support the operationalisation of machine learning and AI solutions into production environments Improve data sharing, onboarding of new data sources, and interoperability across teams and systems Evaluate and introduce new tools, frameworks, and technologies where they deliver genuine value Build robust, production-grade solutions rather than proofs of concept Treat metadata, lineage, observability, governance, data quality, and security as first-class engineering concerns Diagnose and resolve complex data and platform issues in challenging enterprise environments Contribute to a supportive engineering culture focused on quality, delivery, and continuous improvement What We're Looking For This role is for a genuine practitioner who enjoys doing the work and raising standards around them. Essential Experience Significant hands-on experience as a Senior or Lead Data Engineer working on complex, enterprise-scale systems Strong Python and Spark skills with evidence of building and maintaining production data pipelines Deep understanding of the full data engineering lifecycle: ingestion, transformation, storage, serving, and reuse Strong experience designing integrations across diverse data sources, platforms, and legacy environments Experience building and supporting cloud-based data platforms, preferably within AWS environments Proven experience designing scalable data models and architectures Solid understanding of data governance, security, compliance, and operational controls Experience with modern engineering practices including source control, automated testing, CI/CD, infrastructure as code, and deployment automation Ability to communicate effectively with both highly technical and non-technical stakeholders Experience supporting machine learning or AI workloads through production-grade data engineering solutions Highly Desirable Strong AWS data platform experience (S3, Glue, EMR, Redshift, Athena, Lambda, Bedrock, SageMaker or equivalent) Experience operationalising machine learning models into production environments Experience with MLOps, model deployment, model monitoring, model lifecycle management, and automated validation processes Experience supporting Generative AI solutions, including RAG architectures, vector search, LLM integration, AI orchestration, or agentic workflows Databricks experience, including Unity Catalog, MLflow, Delta Lake, Lakehouse architecture, and AI tooling Experience working within secure, regulated, or government environments Exposure to large-scale enterprise data and AI platforms If you're passionate about building enterprise-scale data platforms, enabling AI adoption, and solving genuinely difficult engineering challenges, we'd love to hear from you. Apply now. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy.