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Platform Engineer (eDV Cleared): Contract Details: • Start: ASAP to 30 September 2026 - to be extended, • Full-time, onsite, • Location: UK South, • Rate: opened to conversation, • SFIA level 4–6, • Build, operate and maintain Kubernetes platforms with a focus on OpenShift, • Administer and troubleshoot Linux-based platform services, • Manage container orchestration, scheduling and cluster lifecycle, • Configure and support networking including DNS, load balancing, ingress/egress and network security, • Automate platform operations using infrastructure-as-code, • Monitor, troubleshoot and resolve platform issues, including root cause analysis, • Support upgrades, patching and capacity planning, • Strong hands-on Linux administration in production environments, • Proven Kubernetes operations and troubleshooting experience, • OpenShift expertise including operators, RBAC, routes and image streams, • Solid networking knowledge across TCP/IP, DNS, routing and security, • Experience with container technologies such as Docker or CRI-O, • Experience with automation tools such as Terraform and Ansible, • Familiarity with monitoring and observability tools including Prometheus, Grafana and ELK, • Strong problem-solving ability in complex, distributed systems

AI / ML Infrastructure Engineer (MLOps) – Robotics - Hybrid in Bristol We’re working with a cutting-edge robotics company building intelligent systems capable of learning real-world physical tasks. They’re now hiring an AI / ML Infrastructure Engineer to own the end-to-end infrastructure that powers model training, data pipelines, and deployment into real-world robotic systems. This is a highly technical role sitting at the intersection of machine learning, distributed systems, and robotics - not a generic MLOps position. Key Responsibilities: • Build and scale GPU-based training infrastructure for large ML workloads, • Develop robust data pipelines for multi-modal datasets, • Own experiment tracking, model versioning, and reproducibility, • Design and optimise model deployment pipelines (including edge inference), • Improve CI/CD workflows for ML systems and automate infrastructure Key Requirements: • Strong Python and experience with PyTorch-based training pipelines, • Experience with distributed training (DDP, FSDP, DeepSpeed), • Solid cloud experience (GCP / AWS / Azure), • Hands-on with Docker and infrastructure-as-code (Terraform), • Experience building ML pipelines in production environments Desirable: • Robotics, autonomous systems, or embodied AI experience, • GPU orchestration (Kubeflow, Kubernetes, SkyPilot), • Edge deployment (ONNX, TensorRT) Why Apply? • Work on real-world AI systems deployed into physical robots, • Direct impact on cutting-edge robotics capability, • Fast-moving, high-calibre engineering environment, • Seniority Level, • Not Applicable, • Industry, • IT Services and IT Consulting, • Employment Type, • Full-time, • Job Functions, • Information Technology Engineering Skills, • Python (Programming Language)RoboticsArtificial Intelligence (AI)InfrastructureMachine Learning Apply now!

Infrastructure Manager - Financial ServicesSalary: £70,000 - £80,000 per annumLocation: Remote (with occasional travel to Bristol) We're partnering with a leading UK-based organisation within the financial services sector to recruit an experienced Infrastructure Manager. This is an excellent opportunity for a hands-on technical leader to take ownership of a critical UNIX estate while driving modernisation through automation and DevOps practices. The Role You'll lead and develop a high-performing technical team, ensuring the stability, performance, and continuous improvement of core infrastructure services. This role combines strategic oversight with hands-on technical leadership. Key Responsibilities • Lead, manage, and develop a technical infrastructure team, • Own service performance, availability, and operational stability across the UNIX/Linux estate, • Drive automation and DevOps adoption (Puppet, Terraform, CI/CD pipelines), • Review current infrastructure and define a forward-looking improvement roadmap, • Establish and embed operational best practices, • Implement effective performance management across the team, • Engage with key technical and business stakeholders, • Strong hands-on background in UNIX/Linux (Red Hat preferred), • Expertise in automation tools such as Puppet and Terraform, • Proven experience managing SysOps / Infrastructure teams in mid-to-large scale environments, • Demonstrated track record of improving service performance and availability, • Experience driving automation and DevOps initiatives, • Ability to lead technical change across infrastructure estates, • Credible, hands-on technical leadership style Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Engineering Manager (Environments) (Linux, Puppet, Terraform and AWS) Full time: Permanent roleSalary: £80,000 + Bonus, PHC, pension, and other benefitsLocation: Hybrid, once a month onsite in Bristol We're looking for an experienced Engineering Manager (Environments) to lead the design, reliability, and evolution of a software-driven engineering environments within a regulated financial services organisation. This role focuses on building and operating scalable, secure, and automated environments that enable product engineering teams to deliver safely and quickly. You'll lead teams responsible for environment management, CI/CD integration, and observability, while driving large-scale modernisation programmes across legacy and cloud-native estates. This is a newly created technical leadership role where you will take full ownership of the SysOps / Environments team, setting direction, improving standards, and driving real operational change from day one. You'll combine credible hands-on technical experience with strong people leadership to stabilise, modernise, and improve a core engineering estate supporting business-critical platforms. Engineering Manager (Environments) - What we're looking for: • Proven experience managing UNIX / SysOps, Platform, DevOps or SRE teams in mid-to-large scale environments, • Strong technical background in Linux (Red Hat), automation, pipelines and service operations, • Hands-on exposure to tools such as Puppet, Terraform and AWS, • A track record of leading teams, • The credibility to engage engineers technically, not just managerially, • Experience driving service improvement, automation and estate modernisation This is a rare opportunity to: • Take ownership of a core, business-critical engineering function, • Make a visible, lasting impact through leadership and technical improvement, • Define the future direction of a UNIX / environments estate Apply now or contact us for a confidential discussion. Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Description Programme Name: LCST Location: Remote, with attendance at Leidos UK Bristol or Customer sites as required We’re ready for you to unleash your potential! Role Overview: We are seeking an experienced hands-on Senior DevOps Engineer to join the LCST Programme team. As part of a high-performing Agile team, you will design, implement, and support secure, scalable cloud infrastructure using a tailored SAFe Agile SecDevOps Scrum process. You'll apply DevOps best practices and cloud-native design principles, leveraging AWS services and Infrastructure as Code (IaC) to drive automation and continuous delivery across environments. This role also includes hands-on work with automated testing, deployments, and infrastructure monitoring—alongside participation in Agile ceremonies, risk mitigation activities, and collaborative solution design. Cross-functional flexibility across systems engineering, software development, testing, and security is highly valued. Key Responsibilities: • Demonstrated experience in managing source code with GIT, including pull requests, branching strategies (Trunk-based, GitFlow), and collaborative version control workflows, • Expertise in designing and managing AWS cloud infrastructure, including services like EC2, ECR, ECS, ECK, ASG, VPC, RDS, Load Balancers, Lambda, IAM, ports, R53 etc, • Strong proficiency in IAC using Terraform and Ansible to provision, configure, and maintain secure and scalable cloud environments, • Experience building and maintaining CI/CD pipelines using Jenkins, implementing automation for building, testing, and deploying applications across multiple environments, • Proven ability to write and maintain scripts and automation tools using Bash, Python, and PowerShell to enhance operational workflows and eliminate manual tasks, • Familiarity with containerisation using Docker and orchestration best practices, along with configuration management using Ansible., • Knowledge of secrets management and access control using tools like Vault and IAM policies, ensuring secure handling of credentials and sensitive information, • Strong understanding of AWS security best practices, including encryption, patching, monitoring, least privilege access, and compliance requirements., • Hands-on experience in implementing and managing backup, recovery, and disaster recovery strategies to ensure data protection and business continuity], • Ability to implement robust monitoring and logging solutions e.g., CloudWatch, to ensure system reliability, observability, and proactive incident response, • Comfortable working in Agile development teams, translating business requirements into technical solutions, and actively participating in sprint planning, retrospectives, and daily stand-ups, • Capability to design scalable, resilient, and cost-effective cloud-native solutions that meet availability and performance objectives, • Strong troubleshooting and problem-solving skills with the ability to identify root causes and implement effective mitigation strategies in complex environments, • Understanding of routing, traffic management, and load balancing, including configuration of NGINX and AWS-native tools for optimizing traffic flow., • Experience with structured release and change management processes, including deployment governance, rollback strategies, and versioning control., • Awareness of Java application environments and deployment considerations is a plus for supporting platform-wide consistency and integrations, • Proactive mindset with a continuous improvement attitude, regularly identifying opportunities to enhance delivery pipelines, infrastructure, and development practices, • Proficiency in designing and managing SNS topics for event-driven architectures, integrating notifications with Lambda, or external systems to support decoupled and scalable cloud workflows, • Hands-on experience using Atlassian tools such as Jira, Confluence and Bitbucket to support Agile delivery, documentation, collaboration, and CI/CD pipeline management, • Working knowledge of Active Directory and ADFS for identity and access management, including group policy management, SSO, and integration with cloud authentication services Application Requirements: • Hands-on experience:, • in any programming language e.g. python, bash, powershell, etc, • in Redhat OS, • in AWS OR Azure OR any other cloud provider, • as Redhat and windows Admin, • in containerised solution, • in supporting application troubleshooting, • IAC – terraform, • App config - ansible or any other like puppet, • CI/CD pipeline like Jenkins or Azure devops or bamboo, etc, • Any Automation Desired Skills: • AWS Certified DevOps Engineer – Professional or equivalent certification, • Proficiency in Terraform, AWS CDK, or CloudFormation, • Experience with Ansible for configuration management, • Strong scripting skills (e.g., Python, PowerShell, Bash), • ITIL Foundation Certification or experience with ITIL-based environments Interview Requirements: • This role will involve a two-stage interview process:, • First stage: face to face video competency-based interview covering your experience and transferable skills/application requirements into the role, • Second stage: face to face in person interview at our Bristol office, this will include a technical test aligned around the application requirement capabilities Clearance Requirements: • Clearance to Start BPSS, • Clearance for Role SC, • Must be a UK Citizen and based in UK for the duration, • Must have, or be able to obtain, a UK SC Clearance Clearance Requirements: • BPSS pre-screening required to start Leidos UK! Join our team and discover a culture of collaboration, innovation, diversity, trust, caring management, communication transparency, work-life balance, and overall job satisfaction... What we do for you: At Leidos we are PASSIONATE about customer success, UNITED as a team and INSPIRED to make a difference. We offer meaningful and engaging careers, a collaborative culture, and support for your career goals, all while nurturing a healthy work-life balance. We provide an employment package that attracts, develops and retains only the best in talent. Our reward scheme includes: • Contributory Pension Scheme, • Private Medical Insurance, • 33 days Annual Leave (including public and privilege holidays), • Access to Flexible benefits (including life assurance, health schemes, gym memberships, annual buy and sell holidays and a cycle to work scheme), • Flexible Working Scheme Commitment to Diversity: We welcome applications from every part of the community and are committed to a truly diverse and inclusive culture. We foster a sense of belonging, welcoming all perspectives and contributions, and providing equal access to opportunities and resources for everyone. If you have a disability or need any reasonable adjustments during the application and selection stages please let us know, and we will respond in a way that best fits your needs. Who We Are: The ___ for the UK Ministry of Defence is a critical effort to enhance and improve the UK’s defence supply chain. The programme provides essential services such as storage and distribution for the MOD's materiel, including a global freight service and the procurement and inventory management of 70,000 commodity NATO Stock Number (NSNs). Working together as Team Leidos we are helping to transform the UK's defence supply chain by providing an integration of a complex mixture of services, at low risk, using a modern suite of systems that will deliver one version of the truth. For the first time, the MOD will see the whole picture, as it is happening. What Makes Us Different: Purpose: you can use your passion and abilities at Leidos to keep the people you care about safe. We are at the forefront of machine learning, AI, cyber security and solutions. Using your skills in the technology frontline by helping to build a safer world. You can inspire change. Collaboration: having flexibility to do your job is one of our core benefits, enabling you to become part of our extraordinary team. We have been empowering our people to work flexibly for years. Whether you work from home, the office or on customer sites, we will give you the digital tools and the flexibility to work smarter and align your needs and ours. People: Leidos empowers people from every background to be themselves and gives you the tools to learn new skills by enabling growth whilst developing. We believe that extraordinary people need opportunities to grow, to be inspired and to inspire others. At Leidos, we invest in technical academies, career rotations and a career development plans that enhance your future. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. £47,600.00-£61,000.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit ___. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at ___. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at ___. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the ___. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be responsible for the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Take ownership of the technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS Serverless stack and event driven architectures., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £55,000 to £70,000/year salary depending on experience, • Share options in Logiq Systems

Senior Network Engineer Glasgow, UK - Hybrid £75,000 - 95,000 - Depending on experience & qualifications We are proud to be supporting a fast-growing technology company at the forefront of satellite and cloud infrastructure in their search for a Senior Network Engineer. Because this engagement is sensitive, we'll share the client's name with candidates at the shortlisting stage. THE OPPORTUNITY Our client is building a next-generation network connecting satellites, ground stations, and cloud infrastructure. Operating across dynamic, intermittent links, their platform is designed to deliver data reliably into cloud-based workloads, a technically complex challenge requiring deep networking expertise. This role sits at the heart of their edge infrastructure, the servers and network devices deployed on-site at antenna locations to receive, demodulate, and transport satellite data to the cloud. It is a hands-on, high-ownership position spanning routing, overlay networking, edge systems, and cloud connectivity. KEY RESPONSIBILITIES Network Design & Architecture • Design L3 network topology across satellite, ground, and cloud environments, • Define IP addressing schemes, segmentation, and routing domains, • Model connectivity patterns and failure scenarios Routing & Connectivity • Implement and operate dynamic routing protocols, • Design route advertisement, filtering, and failover strategies, • Handle intermittent and flapping connectivity gracefully Overlay & Secure Networking • Build secure multi-hop paths with strong encryption and isolation, • Implement secure tunnel configurations (WireGuard / IPsec), • Define and enforce SSH access policies, firewall rules, and least-privilege communication Automation & Infrastructure • Develop automation pipelines using Terraform and Ansible, • Support scalable rollout and configuration management across distributed sites Operational Integration • Align networking behaviour with satellite scheduling and operational windows, • Design safe state transitions and failover scenarios, • Improve observability, monitoring, and alerting across the stack WHAT WE'RE LOOKING FOR Our client is seeking a Senior Network Engineer with strong technical fundamentals and a genuine passion for solving complex infrastructure challenges. You'll be comfortable working across architecture, implementation, and troubleshooting, and you take strong ownership of everything you touch. Essential Experience • Advanced-level experience with IP networking and routing, • Hands-on BGP experience covering design, operation, and troubleshooting; familiarity with distance-vector protocols, • Solid Linux networking skills, including VLANs, MTU, TCP/IP, and complex NAT, • Proven experience designing and operating VPNs and tunnelling technologies in distributed environments (WireGuard, StrongSwan, GRE + IPsec), • AWS networking expertise: VPC, TGW, Cloud WAN, VPN, and edge or hybrid networking, • Strong grasp of overlay vs underlay networking principles, • Extensive infrastructure automation experience with Terraform, Ansible, or equivalent, • Scripting or coding ability in Python, • Proven ability to debug complex, distributed systems Desirable • Exposure to satellite, telecom, or RF systems, • Experience with hardware operations, rack installation, or cable management, • Broader cloud platform experience beyond AWS WHY THIS ROLE STANDS OUT • Work on genuinely novel infrastructure at the intersection of space, ground, and cloud, • High ownership from day one, you'll design and ship, not just maintain, • Join a technically exceptional team building something with real-world impact, • Shape architecture at an early stage of a complex, mission-critical system, • An opportunity that sits at the cutting edge of clean technology infrastructure APPLY VIA CLEANTECH TALENT This role is being managed exclusively by Cleantech Talent on behalf of our client. If you have the background and ambition to take on this challenge, we would love to hear from you. Please apply directly through LinkedIn or reach out to the Cleantech Talent team with your CV and a brief note on your interest and relevant experience. All applications are handled in strict confidence.

Infrastructure Architect • Up to £750/day, • Inside IR35, • 12-Month Initial Term, • Remote First (1 day/month in London), • ASAP Start A well-established financial services organisation is looking for an experienced Infrastructure Architect to join its Enterprise Architecture team. The primary focus is on leading the final 25% of a large-scale Azure VMware Solution (AVS) migration. Key Responsibilities: • Lead completion of the remaining AVS migration, ensuring delivery to enterprise standards, • Produce HLD and LLD documentation across infrastructure initiatives, • Support the Cloud Architect in advancing the Azure adoption strategy, • Provide hands-on technical oversight through the build, test, and commissioning phases, • Engage and challenge senior stakeholders, • Act as the layer between enterprise architecture and the engineering function, • Represent the multi-domain architecture team in governance forums Current Environment: • Azure VMware Solution (AVS), • JetStream AVS Disaster Recovery, • Commvault AVS Backup, • Commvault Enterprise Landing Zone Backup, • Colt Network Decoupling (SD-WAN & Azure Connectivity), • Hammerspace Fileshares Technical Requirements: Azure VMware Solution (AVS) | VMware / VCF | Azure IaaS / PaaS | Azure Landing Zones | vWAN / ExpressRoute | Hub & Spoke | Routing Intent | SD-WAN | Palo Alto | NSX / NSX-T | Commvault | JetStream | Azure Policy / RBAC / PIM | CyberArk | Citrix / AVD | ServiceNow | Terraform | Azure DevOps | HLD / LLD | FinOps Please note: This role is inside IR35, umbrella only via an approved PSL. Details available on request. Interested? Send your CV to or connect with me directly on LinkedIn. Please confirm your availability, current day rate, and whether you're set up to work via umbrella inside IR35.

Job Title: Cloud/Devops Engineer Location: UK Experience: 2–5 years Education: Bachelors in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. DevOps Core Skills and Requirements 1. Basic Linux Knowledge • Comfortable working in a Linux terminal (CLI) environment., • Able to perform basic file operations (create, copy, move, delete files/folders)., • Understand and manage file and directory permissions, ownership, and basic user management., • Use of common Linux utilities like grep, top, df, ps, and chmod. 2. Basic Networking Fundamentals • Understanding of IP addressing, subnetting, and what private/public IPs mean., • Knowledge of DNS (Domain Name System) and how name resolution works., • Familiarity with HTTP/HTTPS protocols, what ports are, and what firewalls do at a high level. 3. Scripting Basics • Ability to read and write basic shell scripts (Bash) to automate repetitive tasks., • Some hands-on experience or learning in Python for simple scripting or tool use. 4. Git Version Control • Comfortable using Git for source code management., • Understand how to clone repositories, commit changes, push and pull code, and create branches., • Familiar with GitHub 5. CI/CD Concepts • Basic understanding of what Continuous Integration (CI) and Continuous Deployment (CD) are., • Awareness of tools like Jenkins, GitHub Actions, or Azure DevOps, even if not deeply experienced., • Understand how code goes from development to production in an automated way. 6. Container Awareness • Have heard of Docker and understand the basic purpose of containers (e.g., "run applications in isolated environments")., • Understand the difference between containers and virtual machines at a high level., • Basic idea of what Docker images and containers are. 7. Cloud Computing Fundamentals • Awareness of cloud platforms like AWS and Azure, • Understand concepts like virtual machines, storage, and networking in the cloud., • Know why organizations use the cloud (scalability, flexibility, cost-efficiency). Nice to Have (Bonus Skills) These are not mandatory, but having some exposure will be a plus: • Infrastructure as Code (IaC): Basic idea of tools like Terraform – used to define cloud infrastructure using code., • Monitoring and Logging: Awareness of tools like Prometheus (for monitoring) and Grafana (for dashboards)., • Basic YAML knowledge: Since tools like Kubernetes and GitHub Actions use YAML, familiarity helps. Soft Skills • Willingness to learn new tools and concepts., • Good problem-solving attitude., • Ability to follow documentation and troubleshoot issues., • Comfortable working in a team and asking questions when stuck.

About the Role At Geniez AI, we're building the enterprise Generative AI framework that fundamentally changes how large organizations manage their most critical business platforms and how they build AI-powered applications to derive insights from core business data. As an early engineering hire, you'll architect and build the hybrid cloud infrastructure that powers our framework across the largest enterprise environments, with unique performance requirements, security constraints, and scale needs. This isn't about maintaining existing infrastructure. You'll be making foundational decisions about how our framework deploys, scales, and operates in enterprise environments. Your work will directly enable our largest customers to adopt and scale our solution with confidence. This role is open to candidates from the US, UK and Israel. What You'll Build • Test data infrastructure for automation: Build robust test data pipelines using Python, Spark and other tools that power our automated testing workflows and quality gates at enterprise scale, • Prompt testing and evaluation: Implement and maintain robust evaluation frameworks (like LLM Evals) to automate the testing and validation of Generative AI prompt outputs and model performance, • Hybrid cloud test environments: Design and implement our Kubernetes-native test deployment model that works seamlessly across on-prem, AWS, Azure, GCP, and hybrid environments for comprehensive testing, • Deployment automation: Create tooling that makes deploying and upgrading our framework easy and reliable for customers with varying technical sophistication, • Observability systems: Build monitoring, logging, and diagnostics that help both our team and customers understand system health and quickly diagnose issues, • Internal CI/CD & testing: Evolve our internal development pipeline with automated testing frameworks, integration tests, deployment pipelines, and quality gates that let us ship confidently and frequently What We're Looking For Required: • Python, Java, Typescript expertise: You write modern, clean, maintainable code and have shipped production systems with it, • Kubernetes skills: Hands-on experience deploying and operating workloads on Kubernetes, • Testing automation tools: Experience with modern testing frameworks like Playwright for robust UI automation, along with expertise in backend testing and LLM evaluation frameworks (e.g., LLM Evals)., • Quality assurance expertise: Deep understanding of building comprehensive quality gates, including integration, performance, and security testing into CI/CD pipelines., • DevOps mindset: You think in terms of automation, reproducibility, and infrastructure-as-code, • Systems thinking: You understand how pieces fit together, including networking, storage, security, observability and scale, • Ownership mentality: You'll wear many hats and own outcomes, not just tasks Bonus Points: • Experience testing agentic AI workflows in production at scale, • Worked with enterprise customers on deployment/integration, • Experience with Helm, Terraform, or similar configuration as code tools, • Experience building enterprise software in Python, Java and Typescript, • Understanding of enterprise security/compliance requirements (SOC2, etc.), • Understanding of Mainframe computers and operating systems Why Join Us Early-stage impact: Your decisions will shape how our product works for years. You'll have direct influence on architecture, technology choices, and team culture. Enterprise scale from day one: Our customers are all major enterprises and Fortune 500 companies. You'll solve problems that matter at massive scale, with the urgency and autonomy of a startup. Backed by top investors: We're well-funded by leading VCs with runway to build something significant with focused execution. Small, technical team: We’re a tight group of talented people solving hard problems together. Learn constantly: You'll work alongside experienced engineers, get exposure to cutting-edge AI applications, and tackle problems you haven't seen before.

Platform/DevOps Engineer Role - GCP.. We’re looking for a hands-on Platform / DevOps Engineer with deep experience running production workloads on Google Kubernetes Engine (GKE). This role is for someone who enjoys building, automating, and operating cloud-native platforms - not just designing them. You’ll own Kubernetes infrastructure end to end: provisioning, CI/CD, deployments, service mesh, and day-to-day operations in a modern GCP environment. Responsibilities: Design, build, and operate GKE clusters in production environments Automate cloud infrastructure on GCP using Terraform Build and maintain CI/CD pipelines for Kubernetes-based deployments Implement and manage Istio service mesh for traffic management, security, and observability Support containerized microservices at scale Required Skills & Experience (Must-Have) • Strong hands-on experience with GKE in production, • Solid Kubernetes fundamentals (networking, RBAC, scaling, troubleshooting), • Experience working in Google Cloud Platform (GCP), • Infrastructure as Code using Terraform, • CI/CD experience with Harness, • Strong GitHub workflow experience (PRs, branching, automation), • Experience with Istio Service Mesh (traffic routing, mTLS, canary/blue-green deployments), • Deep understanding of containers and cloud-native architectures £500 per day - 6 Month Contract Office Locations: Bristol, Leeds, Halifax, Manchester, Edinburgh

Data Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for a Data Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are a Data Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

Senior Platform Engineer (Go/Rust) - Remote (UK) £90–100k + equity 30 days holiday Our client is a UK startup building a low-code modelling platform designed to replace spreadsheet-driven workflows for SMEs. Founded by the entrepreneur behind one of the world's most influential enterprise planning platforms (acquired for ~$8bn), the mission is to bring that same power to businesses that have been underserved by tooling for too long. Pre-commercial launch. Greenfield infrastructure. Real stakes. The technical challenge You'll be building and owning the production infrastructure for a multi-user distributed system from the ground up. That means designing for debuggability and observability from day one, not bolting it on later. Core remit includes scalable multi-environment Terraform, secrets management, gradual deployment practices (blue/green), and the ability to spin up full environment copies for testing. An AI/multi-agent infrastructure component is on the near-term roadmap. The stack IaC Terraform + Terragrunt Helm / Kubernetes AWS Observability Prometheus / Grafana Auth0 Rust / Golang NoSQL What they're looking for • Production experience with Terraform, Helm/Kubernetes, AWS networking, and debugging multi-service systems, • Observability tooling, secrets management, and authentication services in real production environments, • Comfortable operating in a distributed, multi-user system with a strong sense of end-to-end ownership, • Rust familiarity is a bonus, backend services are written in it and there's scope to contribute at that layer Engineering culture This is a team that treats design decisions as seriously as code; options are documented, tradeoffs are considered at codebase level, and mature judgment is valued over ticket throughput. Engineers own problems end-to-end and communicate proactively. Interested? Please reach out!

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Senior CI/CD Platform / Software Engineer (GitHub Actions & TypeScript) Fully Remote (UK only), Outside IR35 We are supporting a major enterprise-scale cloud transformation programme and are seeking a Senior CI/CD Platform Engineer (GitHub Actions & TypeScript) to join a high-performing engineering environment. This role sits at the centre of a large-scale migration from Microsoft Azure to Google Cloud Platform. While existing teams focus on the migration, you will take ownership of designing and building a scalable, enterprise-grade CI/CD platform. This is not a typical DevOps role. We are looking for a software engineer who specialises in CI/CD systems, someone who has gone beyond assembling pipelines and has experience building custom GitHub Actions, reusable frameworks, and internal tooling in TypeScript. You will treat CI/CD as a product, enabling hundreds of engineers to deliver software safely, consistently, and at scale. Key Responsibilities • Design and build a scalable CI/CD platform using GitHub Actions as a core technology, • Develop custom GitHub Actions in TypeScript, including packaging, versioning, and internal distribution, • Create reusable workflows, abstractions, and tooling to standardise delivery across teams, • Define and enforce best practices for build, test, release, and deployment automation, • Decouple pipelines from cloud-specific implementations to support ongoing migration and future flexibility, • Improve developer experience through self-service CI/CD capabilities and internal tooling, • Identify bottlenecks in existing pipelines and re-architect for performance, reliability, and scalability, • Embed security, compliance, and governance into pipeline design (e.g. secrets, permissions, OIDC), • Collaborate with platform, cloud, and application teams to drive adoption of the CI/CD platform, • Mentor engineers and elevate CI/CD maturity across the organisation Required Skills & Experience • Strong software engineering background with significant experience in TypeScript / Node.js, • Deep, hands-on expertise with GitHub Actions beyond basic usage, including:, • Building and maintaining custom actions in TypeScript, • Designing reusable workflows and internal CI/CD frameworks, • Managing action versioning, distribution, and lifecycle in an enterprise setting, • Proven experience designing scalable CI/CD systems, not just implementing pipelines, • Experience building internal developer tooling or platforms, • Strong understanding of modern software delivery practices (testing, release strategies, automation), • Experience working in complex, large-scale engineering environments, • Ability to operate as a technical authority, influencing architecture and engineering standards Nice to Have • Experience with Google Cloud Platform and/or Microsoft Azure, • Exposure to large-scale cloud migration or transformation programmes, • Experience with containerised environments (Docker, Kubernetes), • Familiarity with Infrastructure-as-Code (Terraform, Pulumi, etc.), • Background in internal developer platforms (IDPs) or platform engineering teams, • Experience in large, complex enterprise environments What You’ll Be Doing You’ll be building the next-generation CI/CD platform for a global enterprise, moving away from fragmented, legacy pipelines towards a standardised, extensible, and developer-friendly system. Rather than stitching together existing tools, you will engineer reusable, production-grade CI/CD components that scale across hundreds of repositories and teams. Why Apply? This is a rare opportunity to operate at the intersection of software engineering and platform design, with real ownership over how CI/CD is built and used at scale. You’ll have the chance to: • Build a CI/CD platform as a first-class engineering product, • Influence engineering practices across a large global organisation, • Work on a high-impact cloud transformation programme, • Solve complex, non-trivial problems that go far beyond standard DevOps work

Analytics Engineer UK, Fully Remote, £65,000 to £70,000 This is an opportunity to join a fast-growing digital marketplace at a pivotal stage in its data journey. The business is investing heavily in its data platform and is looking for an Analytics Engineer to take ownership of a modern stack, bridge technical and commercial needs, and play a key role in shaping how data is used across the organisation. The Company They are a VC-backed technology business operating a two-sided online marketplace within the education sector. With strong growth and an expanding customer base, data has become central to improving acquisition, understanding user journeys, and delivering clearer commercial insight. The data function is still maturing, offering a rare chance to influence foundations, standards, and ways of working from an early stage. The Role You will be the first key Data Analytics Engineer hired in a new phase of the data team, taking ownership of an existing cloud-based data platform following a consultant handover. Working closely with analytics and senior stakeholders, you will help turn fragmented data into reliable, actionable insight. Responsibilities include: • Owning and developing the data platform on GCP, ensuring reliability and scalability, • Building and maintaining robust ingestion pipelines using modern ELT tools, • Designing and maintaining high-quality data models to support analytics and self-serve BI, • Partnering with BI and commercial teams to translate business needs into technical solutions, • Supporting data governance, testing, and documentation across the warehouse, • Strong data and analytics engineering fundamentals within a modern cloud data stack, • Proven experience with GCP, BigQuery, dbt, and ELT tools such as Fivetran or similar, • Solid data modelling capability for analytics and reporting use cases, • Hands-on experience with infrastructure as code, particularly Terraform, • Comfortable working in scaling environments with evolving data maturity, • Able to communicate clearly with both technical and non-technical stakeholders, • High autonomy and the chance to shape a growing data platform, • Clear scope for progression as the data function expands If you are an Analytics Engineer looking to own a modern data stack and make a tangible impact in a growing tech business, apply now to learn more.

GCP Cloud Consultant - Platform & AI Engineering Fully Remote (UK Only) A specialist cloud engineering consultancy is supporting a major global logistics organisation through a large-scale transformation programme, migrating core enterprise platforms from Microsoft Azure to Google Cloud Platform (GCP). As part of this programme, the consultancy is expanding its permanent engineering capability and is seeking a GCP-focused Consultant or Senior Consultant to join its cloud platform team. This is a hands-on engineering role within a high-performing delivery environment, with strong emphasis on GCP platform engineering, infrastructure automation, and AI/ML enablement using Vertex AI. The Opportunity The successful candidate will join a specialist cloud engineering team responsible for designing, building, and operating modern cloud-native platforms on GCP. You will work closely with senior engineers and architects to deliver scalable, secure, and production-grade cloud solutions as part of a major enterprise migration programme. This role is ideal for someone with solid GCP experience who is looking to deepen their expertise in platform engineering, Kubernetes, Terraform, and AI/ML workloads. Key Responsibilities • Contribute to the design and delivery of a large-scale Azure to GCP migration programme, • Build and operate cloud-native platforms using GCP services (GKE, BigQuery, Pub/Sub, Cloud Storage, etc.), • Develop Infrastructure-as-Code solutions using Terraform, • Support CI/CD pipeline development and automation practices, • Work with Kubernetes-based workloads, primarily on GKE, • Support the implementation of AI/ML solutions using Vertex AI and related GCP services, • Collaborate with cross-functional teams including cloud, data, security, and application engineers, • Contribute to best practices across cloud security, scalability, reliability, and cost optimisation Required Skills & Experience • Minimum 3+ years hands-on experience with Google Cloud Platform (GCP) – essential, • Practical experience with Vertex AI or other GCP AI/ML services – essential, • Strong experience with Terraform and infrastructure-as-code practices, • Good understanding of Kubernetes and containerised environments (preferably GKE), • Experience in cloud engineering, DevOps, or platform engineering roles, • Familiarity with CI/CD pipelines and automation tooling, • Experience working in enterprise-scale or consultancy environments, • Strong engineering mindset with ability to work across platform, data, and application layers Desirable Experience • Exposure to Microsoft Azure in hybrid or migration environments, • Experience working on cloud migration programmes, • Knowledge of data platforms such as BigQuery or similar, • Interest in AI/ML, MLOps, or data engineering practices, • Experience working in regulated or large-scale enterprise environments About the Role This is a permanent opportunity within a specialist cloud consultancy delivering a high-profile global transformation programme. The role offers deep exposure to GCP platform engineering and AI-driven cloud solutions, with a clear progression path into senior engineering or architecture responsibilities. Additional Information • Location: Fully remote (UK only), • Type: Permanent, • Level: Consultant / Senior Consultant, • Core focus: GCP platform engineering, Vertex AI, Terraform, Kubernetes, Azure-to-GCP migration Why Apply? This is a strong opportunity for a GCP engineer looking to join a specialist environment delivering meaningful enterprise-scale cloud transformation work. You will gain hands-on experience with modern GCP and AI platforms, while building towards a long-term senior technical career path within a growing consultancy practice. Apply now online for more information.

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Principal Security Engineer Location: Remote UK/Euro Reporting line: Chief Risk Officer About Auros Auros is a global digital asset liquidity provider operating 24/7 across centralised and decentralised markets. We run high-availability, low-latency systems where resilience and risk discipline matter. Security is treated as a core engineering and risk function, with direct engagement from senior leadership. The Role We're hiring a hands-on principal security engineer to implement and operate security controls across our infrastructure. This is a technical execution role where you'll be writing code, configuring systems, and shipping security improvements, not writing policies or managing people. You'll work closely with Infrastructure and Engineering teams to harden our cloud environments, secure our CI/CD pipelines, and protect both corporate and production systems. The scope is broad, the environment is fast-paced, and you'll be expected to own problems end-to-end. We believe security should enable the business, not obstruct it. You'll design controls that are effective but unobtrusive, security that works in the background without creating friction for engineers or traders. What You'll Do • Implement and maintain security controls across multi-cloud environments (primarily AWS, with some Azure, GCP and AliCloud) and on-prem infrastructure, • Own IAM strategy and implementation: design and enforce identity, access, and permissions models that are secure, scalable, and practical, • Design and operate key management and custody security controls such as HSMs, secrets management, and secure key handling for trading operations, • Harden CI/CD pipelines (GitLab) and secure the software delivery process, • Configure and operate corporate security tooling (endpoint protection, MDM/Jamf, DLP, identity management), • Respond to security incidents: triage, investigate, contain, remediate, • Conduct security assessments of infrastructure and applications, • Automate security operations: detection, alerting, and response, • Work with Infrastructure to embed security into cloud provisioning and system configuration What We're Looking For • 8+ years' hands-on experience in security engineering or security operations, • Strong, opinionated views on IAM (you've designed and implemented identity and access management across cloud environments and have a clear philosophy on how it should work), • Strong working knowledge of cloud security controls across multiple providers (AWS and Azure preferred), • Experience securing CI/CD platforms, GitLab preferred, • Familiarity with corporate IT security tooling (Jamf, endpoint protection, DLP, SSO/IdP), • Comfortable in Linux environments and scripting (Python, Bash, or similar), • Experience with infrastructure-as-code (Terraform, Pulumi etc.) is a plus, • Exposure to financial services, crypto, or other regulated environments is a plus but not required, • We value demonstrated skills and practical experience over certifications. What You Get • Direct ownership of security implementation, • A small, technical team where your work has immediate impact, • Exposure to low-latency trading infrastructure and the digital asset space

This AI/ML infrastructure role is with a seriously exciting scale up. The robots are deployed, the data is flowing, and the team is growing. They need someone to own the operational infrastructure that powers the robot Learning team, from demonstration capture through to deployed behaviour on the fleet. This is not generic MLOps. The infrastructure you build directly determines how fast the team can iterate on new manipulation capabilities. The Role You will own training infrastructure, data pipelines, model deployment, and developer experience for the Robot Learning team. The key responsibilities • Develop reproducible, containerised training environments for diffusion policies, VLAs, and transformer-based architectures, • Cloud GPU orchestration with spot fault tolerance and cost guardrails, scaling from single-GPU to multi-node distributed training, • Full provenance from dataset version and training configuration through to deployed checkpoint, • On-robot edge inference: optimised model export (ONNX, TensorRT), latency profiling, deployed-policy monitoring, • Staged rollout to the robot fleet with rollback capability What We're Looking For Essential: • 3+ years building ML infrastructure or MLOps pipelines in production, • Strong Python; PyTorch training pipelines and distributed training (DDP/FSDP, DeepSpeed, or similar), • Docker containerisation and multi-stage builds, • Cloud infrastructure (GCP preferred) and Infrastructure-as-Code (Terraform preferred), • Experiment tracking (MLflow preferred) and CI/CD (GitHub Actions preferred), • Multi-modal data pipelines Useful: • ML infrastructure for robotics, autonomous vehicles, or embodied AI, • Cloud GPU orchestration tools (SkyPilot, Kubeflow, or similar), • Edge GPU deployment (ONNX, TensorRT), • Familiarity with behaviour cloning, diffusion policies, or VLA architectures (as a consumer), • Event-driven data architectures, serverless compute, • Simulation environments (MuJoCo, Isaac Sim) and sim-to-real data pipelines Key contributions areas Training Infrastructure • Containerised training environments for policy learning workloads, • GPU orchestration: spot tolerance, cost control, multi-node scaling, • Experiment tracking and model registry with full provenance, • Mixed precision, FSDP, checkpoint management, cold-start reduction Data Pipelines • Automated pipelines from raw robot demonstrations to training-ready datasets, • Data versioning so every model traces back to its source data, • Quality monitoring: episode scoring, diversity analysis, outlier detection, failure-mode clustering, • Triggers connecting collection, conversion, validation, and training into a cohesive workflow Model Deployment & Serving • Evaluation harnesses benchmarking manipulation success rates across tasks, • A/B comparison of model versions before deployment, • Optimised export for edge devices, latency profiling, • Staged rollout with rollback Developer Experience & CI/CD • Tooling that lets researchers launch training, evaluate checkpoints, and compare experiments with minimal friction, • GPU CI testing and nightly regression pipelines that catch inference regressions before they reach robots, • ML-specific CI: model format checks, latency regression tests, checkpoint compatibility What's On Offer • Join a team with world class applied research scientists, ML engineers, and robotics software engineers, • A genuinely interesting technical problem at the frontier of embodied AI, • Competitive compensation Apply or send your CV to -

Position Summary Be part of the mission to keep the UK safe. We work with Defence & Security clients on some of the most ambitious technology programmes in the country. Our teams are growing across Technology and Transformation — and if you hold UK DV-level Security Clearance, we’d love to hear from you. The Opportunity We’re looking for an experienced Senior Technology Consultant to help digitise defence — combining modern innovation with traditional military functions. You’ll work with clients to solve complex technology challenges, shape cloud strategies, and deliver scalable, secure environments for mission-critical system Key Requirements All applicants must hold active UK DV (Developed Vetting) Security Clearance. Core consulting capabilities: • Strong ability to provide pragmatic, clearly articulated solutions to complex business challenges, • Proven experience managing workloads, meeting deadlines, and delivering tangible results, • Confident communication skills with both technical and non-technical audiences, • Experience leading teams and managing deliverables, • Ability to assess and select vendors/products, • Strong understanding of cloud migration and architecture We’re looking for candidates with skills in one or more of the following areas: Cloud Architecture & Engineering • Cloud platforms: AWS, Azure, Google Cloud Platform, or OCI, • Container technologies (Docker, Rocket) and orchestration (Kubernetes, OpenShift, Rancher, Swarm), • Infrastructure as Code (Terraform, CloudFormation, ARM, GCP CDM), • CI/CD and cloud automation tooling, • DevOps philosophies and toolchains, • Linux and Windows automation frameworks (Ansible, Puppet, PowerShell, etc.), • Version control and deployment tools (Jenkins, SVN, GitHub), • Awareness of cloud security, performance, and non-functional requirements Cloud Consulting • Defining and delivering Cloud Strategy and Operating Models, • Developing business cases for cloud investment, • Product and service selection for cloud solutions, • Leading agile ceremonies and stand-ups, • Architecting and delivering cloud platforms, • Understanding and advising on emerging cloud technologies and challenges, • Maintaining strong relationships with cloud vendors (AWS, Azure, GCP) Technical Authoring • Translating architectural information into clear, technical documentation for engineering and development teams, • Publishing and maintaining network documentation using tools like Git or markup-based repositories, • Managing technical decision processes and facilitating backlog discussions About the Business – Technology and Transformation Distinctive thinking, deep expertise, and a collaborative mindset — that’s what defines us. Our Defence and Security teams support clients to make the UK a safer place. From organisational change and programme management to advanced technology integration, we help clients deliver their mission through innovation and precision. Location and Working Model You’ll be based in Bristol, London, or Manchester, with hybrid working. We understand the importance of balance - so you’ll have the flexibility to work in the office, remotely, or on client sites as needed. Collaboration and connection remain key, but we support adaptable work styles that help you perform at your best.

About Quantiphi Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology’s sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit:______ or___. Role: Cloud Data Architect Experience Level: 8-10+ years Work Location: United Kingdom (Remote) Job Overview: We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS. This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs. The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning, • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift, • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss, • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems, • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR, • Architect and implement scalable, secure, and highly available data platforms on AWS, • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable), • Optimize performance of source and target systems pre- and post-migration, • Manage and govern S3-based data lakes and metadata using Glue Data Catalog, • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization, • Implement monitoring, rollback, and failure recovery mechanisms, • Ensure adherence to security, governance, and compliance standards Required Skills: • 8+ years of experience in database migration and data engineering, • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud), • Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing), • Experience designing and implementing data validation and reconciliation frameworks, • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent), • Deep proficiency in SQL and data modeling concepts, • Experience working with S3-based data lakes and Glue Data Catalog, • Strong understanding of CDC, transaction consistency, and migration cutover strategies, • Hands-on experience with performance tuning, schema design, and query optimization, • Proficiency in Python/PySpark and scripting (Shell/Python), • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent), • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks, • Familiarity with Data Mesh and cross-account data sharing architectures, • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.), • Knowledge of Infrastructure as Code (Terraform / CloudFormation), • AWS Certifications (Solutions Architect / Data Engineer), • Experience in mentoring teams and leading large-scale migration programs. What’s in it for YOU at Quantiphi: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

About the Role At Geniez AI, we're building the enterprise Generative AI framework that fundamentally changes how large organizations manage their most critical business platforms and how they build AI-powered applications to derive insights from core business data. As an early engineering hire, you'll architect and build the hybrid cloud infrastructure that powers our framework across the largest enterprise environments, with unique performance requirements, security constraints, and scale needs. This isn't about maintaining existing infrastructure. You'll be making foundational decisions about how our framework deploys, scales, and operates in enterprise environments. Your work will directly enable our largest customers to adopt and scale our solution with confidence. This role is open to candidates from the US, UK and Israel. What You'll Build • Data infrastructure for AI: Build robust data pipelines using Python, Spark and other tools that power our agentic workflows and AI agents at enterprise scale, • Hybrid cloud architecture: Design and implement our Kubernetes-native deployment model that works seamlessly across on-prem, AWS, Azure, GCP, and hybrid environments, • Deployment automation: Create tooling that makes deploying and upgrading our framework easy and reliable for customers with varying technical sophistication, • Observability systems: Build monitoring, logging, and diagnostics that help both our team and customers understand system health, usage and performance, • Internal CI/CD & testing: Evolve our internal development pipeline with automated testing frameworks, integration tests, deployment pipelines, and quality gates that let us ship confidently and frequently What We're Looking For Required: • Python, Java, Typescript expertise: You write modern, clean, maintainable code and have shipped production systems with it, • Kubernetes in production: Hands-on experience deploying and operating workloads on Kubernetes, • Distributed computing: Real experience with Spark or similar data processing frameworks at large-scale, • DevOps mindset: You think in terms of automation, reproducibility, and infrastructure-as-code, • Systems thinking: You understand how pieces fit together, including networking, storage, security, observability and scale, • Ownership mentality: You'll wear many hats and own outcomes, not just tasks Bonus Points: • Experience deploying agentic AI workflows in production at scale, • Worked with enterprise customers on deployment/integration, • Experience with Helm, Terraform, or similar tools, • Experience building enterprise software in Java and Typescript, • Understanding of enterprise security/compliance requirements (SOC2, etc.), • Understanding of Mainframe computers and operating systems Why Join Us Early-stage impact: Your decisions will shape how our product works for years. You'll have direct influence on architecture, technology choices, and team culture. Enterprise scale from day one: Our customers are all major enterprises and Fortune 500 companies. You'll solve problems that matter at massive scale, with the urgency and autonomy of a startup. Backed by top investors: We're well-funded by leading VCs with runway to build something significant with focused execution. Small, technical team: We’re a tight group of talented people solving hard problems together. Learn constantly: You'll work alongside experienced engineers, get exposure to cutting-edge AI applications, and tackle problems you haven't seen before.

At Valcon, we help organisations unlock the full value of data, AI and digital platforms by building scalable, automated cloud foundations. We are looking for a Senior Principal in Cloud Engineering to lead the design and delivery of enterprise-scale cloud platforms that support modern data, AI and application workloads. This is a senior consulting leadership role responsible for shaping client cloud strategies, designing modern platform architectures and leading complex transformation programmes. You will work with executive stakeholders to modernise legacy infrastructure, establish platform engineering capabilities and enable organisations to deploy and scale digital products at speed. The role combines strategic architecture, transformation leadership and deep cloud engineering expertise, helping clients move from manual infrastructure operations to automated, resilient and scalable cloud platforms. Key Responsibilities Client Advisory & Capability Building • Act as a trusted advisor to CIO, CTO and platform leadership teams on cloud platform transformation., • Lead architecture workshops and strategic engagements with senior stakeholders., • Translate business ambitions for data, AI and digital innovation into scalable cloud architectures., • Establish Cloud Engineering Centres of Excellence (CoE) within client organisations., • Define operating models, engineering practices and reusable platform components., • Support pre-sales activities including proposals, client pitches and solution shaping, bringing technical leadership into the sales cycle., • Identify and develop opportunities within client accounts to expand cloud and platform engagements. Cloud Platform Strategy & Architecture • Lead large-scale cloud modernisation programmes, transforming legacy infrastructure into automated cloud-native platforms., • Define enterprise cloud platform strategies supporting Data, AI and digital product develop, • Design target-state architectures enabling scalable, secure and automated infrastructure across cloud environments., • Define policy-as-code frameworks and automated governance models ensuring security, compliance and cost optimisation., • Embed resilience, observability and disaster recovery into enterprise platform design, • Ensure cloud environments align with Well-Architected Framework principles., • Design modular infrastructure frameworks and reusable blueprints enabling consistent and scalable deployments., • Identify technical debt and operational bottlenecks and design modernised infrastructure architectures to support long-term scalability., • Enable development, data and AI teams to deploy platforms and workloads independently at scale., • Lead the adoption of Infrastructure as Code (IaC) and platform engineering practices across client organisations. Internal Capability & Thought Leadership • Contribute to the development of Valcon’s Cloud and Platform Engineering capability, shaping propositions, standards and go-to-market offerings., • Mentor and support the development of engineering and architecture talent across the organisation., • Act as a leading voice within Valcon and externally, evangelising cloud as a business value driver through thought leadership, client engagement and industry presence. Skills & Experience • Strong consulting background with the ability to engage CIO/CTO-level stakeholders, lead architecture workshops and translate business strategy into scalable technology solutions., • Ability to translate strategic objectives into practical platform architectures., • Proven experience designing enterprise-scale cloud platforms that support data, AI and digital products., • Deep understanding of modern cloud architecture across AWS, Azure or Google Cloud., • Experience implementing Infrastructure as Code and automated platform provisioning using tools such as Terraform, Bicep or CloudFormation, enabling scalable and repeatable deployments., • Experience establishing platform engineering capabilities, cloud landing zones and reusable infrastructure blueprints that enable engineering teams to deploy applications and data platforms at scale., • Strong track record of leading large-scale cloud modernisation and platform transformation programmes, working with senior stakeholders to move organisations from legacy infrastructure to automated cloud-native platforms., • Experience contributing to pre-sales activities, including proposals, solution shaping and client presentations., • Experience combining delivery leadership with business development, contributing to revenue growth and client development.

The Opportunity We are an Imperial College London med tech spinout building AI-powered clinical decision-support tools certified as Software as a Medical Device (SaMD). Our platform uses real-world EHR data to identify patients at risk of preventable harm — giving NHS clinicians time to act. We are a small, high-ownership team operating at the intersection of clinical AI and healthcare infrastructure. This is a foundational engineering hire with a clear path to Head of Engineering as we scale. The Role You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions on a system processing real patient data across NHS trusts. What You'll Do 🔹 Own and extend the backend and ML infrastructure of a production SaMD system 🔹 Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks 🔹 Write software that meets medical device quality standards, producing artefacts that support regulatory submissions 🔹 Collaborate with clinical, data science, and regulatory stakeholders 🔹 Help define engineering culture and processes as the team grows around you What We're Looking For ✅ 5+ years of professional software engineering experience with a strong Python background ✅ Proven experience building and operating production services on Azure or AWS ✅ Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture ✅ Strong written communication; able to document work to regulatory audit standard Nice to Have ⭐ Experience in a regulated software environment (medical devices, fintech, defence, or similar) ⭐ Familiarity with FHIR/HL7 or clinical EHR systems ⭐ Exposure to ML model deployment or monitoring in production Tech Stack Python · Azure · Terraform · Docker · ML Pipelines · FHIR / HL7 · GitHub Actions What's on Offer 💰 Competitive renumeration package, depending on experience 🏖️ 25 days annual leave + bank holidays 🏥 Access to clinical and academic networks 🔀 Flexible hybrid working, London base Growth Path As we move through our next funding round and scale clinical deployments, the expectation is that you grow into Head of Engineering or equivalent — owning technical strategy, building a team, and sitting at the table for product, regulatory, and commercial decisions.

• Recent experience in designing and delivering hybrid cloud platforms and services, leveraging Infrastructure as Code (IaC) and API-driven architectures within agile environments, • Ability to support and enhance domain-owned services on GCP and other cloud platforms, while identifying opportunities to introduce emerging technologies and new features, • Experience collaborating within engineering teams to deliver shared components, dependencies, and end-to-end solutions, • Strong learning mindset with a proactive approach to adopting industry best practices, tools, and cloud technologies, • Flexible and technology-agnostic approach, with the ability to adapt solutions based on business and technical needs, • Solid experience with DevOps practices and CI/CD pipelines, using tools such as Git, Terraform Cloud, HashiCorp Vault, Harness, and Jenkins, • Experience managing and resolving incidents and problems, particularly related to enterprise network connectivity, • Ability to conduct code reviews and provide constructive feedback to improve code quality and team standards, • Ensuring all engineering activities comply with security, governance, and control requirements

Engineering Manager (Environments) (Linux, Puppet, Terraform and AWS) Full time: Permanent role Salary: £80,000 + Bonus, PHC, pension, and other benefits Location: Hybrid, once a month onsite in Bristol We're looking for an experienced Engineering Manager (Environments) to lead the design, reliability, and evolution of a software-driven engineering environments within a regulated financial services organisation. This role focuses on building and operating scalable, secure, and automated environments that enable product engineering teams to deliver safely and quickly. You'll lead teams responsible for environment management, CI/CD integration, and observability, while driving large-scale modernisation programmes across legacy and cloud-native estates. This is a newly created technical leadership role where you will take full ownership of the SysOps / Environments team, setting direction, improving standards, and driving real operational change from day one. You'll combine credible hands-on technical experience with strong people leadership to stabilise, modernise, and improve a core engineering estate supporting business-critical platforms. Engineering Manager (Environments) - What we're looking for: • Proven experience managing UNIX / SysOps, Platform, DevOps or SRE teams in mid-to-large scale environ...

SRE | Bristol | Cyber-tech Scale Up | DV Clearance Ready to make a real impact in a secure, mission‑critical environment supporting national security? Keen to work at the forefront of cyber and defence technology? We’re working with a growing, highly specialised cyber-tech business expanding its SRE capability in Bristol. This is an opportunity to join an established team delivering and supporting critical infrastructure in a highly secure environment. You’d be instrumental across networking, DevOps and infrastructure, using tools like Ansible, Terraform, CI/CD and Jenkins. The focus is on robust, reliable hybrid AWS/on-prem systems in datacentre-led environments. The role is based in Bristol with 3 days onsite, offering: £50k–£60k mid-level / £65k–£95k senior, enhanced no-employee contribution pension, 28 days annual leave with additional purchase options, annual bonus, and a training budget Due to the nature of the work, candidates must be UK eyes only (British-born, no dual nationality) and eligible for DV clearance (currently SC-cleared minimum). If you're looking for something niche, impactful, and technically challenging — get in touch or send your CV to (url removed)...

Ground Segment DevOps Engineer Contract, remote Outside IR35 The Core Challenge You will be the architect of our client's CI/CD toolchain and container-based environments. This isn't a standard cloud-ops role; you are building the Mission Support System (MSS)—the infrastructure that ensures space flight software and ground services are deployed seamlessly and monitored with zero margin for error. Key Responsibilities: • Infrastructure Orchestration: Manage and evolve our container-based stack (Docker, amongst other lesser-known tech - upskilling time available for the other stack) to support mission-critical Ground Segment services., • Pipeline Ownership: Expand our client's CI/CD workflows to automate the build, test, and deployment of live operational products., • Mission Support: Design and implement centralized logging, monitoring (Grafana), and system lifecycle orchestration for active missions - terraform also a nice to have., • Deployment Strategy: Define versioning and rollback protocols that ensure continuous availability during high-stakes orbital phases. Your Heritage • Container Expertise: Proven track record with Docker-based environments and registry management., • DevOps Mastery: Hands-on experience building robust pipelines (GitLab CI, GitHub Actions, or Jenkins)., • Linux Fundamentals: Deep understanding of Linux environments, shell scripting, and systems automation., • Mission Awareness (Bonus): Familiarity with satellite ground systems or SQL/NoSQL database administration is highly desirable. Please apply directly with your CV and up to date contact details in order for us to have a detailed discussion around the opportunity.

🚀 Senior GCP Platform Engineer | Outside IR35 Looking for a high-impact contract role where you’re not just maintaining systems, but building the future cloud platform? My client is working on on a major Azure → GCP migration within a complex enterprise environment. This is a hands-on, senior role with real ownership across platform design, governance, and delivery. 🔧 What you’ll be doing • Lead Azure → GCP migration across critical workloads, • Design and build GCP Landing Zones and platform architecture, • Implement Terraform (IaC), CI/CD, and automation, • Drive best practices across security, governance, and cost optimisation, • Work closely with engineering teams to enable scalable, self-service platforms 🧠 What we’re looking for • Strong experience with Google Cloud Platform (GCP), • Proven background in platform engineering / DevOps / cloud infrastructure, • Hands-on with Terraform + Kubernetes (GKE ideally), • Experience with cloud migrations (Azure → GCP a big plus), • Ability to operate in complex, multi-team environments 💥 Why this role • Outside IR35 contract, • £600–£750/day depending on experience, • Genuine platform ownership (not BAU DevOps), • High-visibility enterprise transformation project, • Work with modern tooling and forward-thinking engineering teams 📩 Interested? Drop me a message or apply directly, happy to share more detail.

Microsoft SQL DBA Role – £60K Permanent Key Responsibilities • Administer, monitor, and optimize Microsoft SQL Server environments (2016/2019/2022), • Design, deploy, and manage SQL workloads on Microsoft Azure, • Manage and support virtualized environments using Hyper-V, • Implement and maintain backup and recovery solutions using Veeam, • Perform capacity planning, performance tuning, and query optimization, • Manage HA/DR solutions (Always On Availability Groups, Failover Clustering, Azure SQL MI), • Ensure security, compliance, and access controls, • Automate DBA and infrastructure tasks using PowerShell and T-SQL, • Collaborate with infrastructure, DevOps, and application teams, • Support on-prem to Azure migrations and hybrid cloud architectures ☁️ Required Skills & Experience • Strong hands-on experience as a Microsoft SQL Server DBA, • Solid infrastructure background, including:, • Windows Server administration, • Hyper-V virtualization, • Networking and storage concepts, • Proven experience with Azure Cloud, including:, • Azure SQL (IaaS & PaaS), • Azure Virtual Machines, • Azure Storage, Backup, and Monitoring, • Experience with Veeam Backup & Replication, • Expertise in performance tuning, indexing, and troubleshooting, • Strong scripting skills (PowerShell, T-SQL) ⭐ Nice to Have • Experience with Azure DevOps / CI-CD pipelines, • Infrastructure as Code (ARM, Bicep, Terraform), • SQL Server, Azure, or Veeam certifications, • Experience supporting hybrid environments

Engineering Manager Location: Remote - with monthly travel to Wilmslow HQ Salary: Competitive We are The Citation Group - a collective of businesses dedicated to supporting small and medium-sized enterprises across a range of essential services. We know that running a business means juggling a lot. Our mission is to ease these pressures by providing expertise, guidance, and solutions that enable business leaders to focus on what they do best. From HR and Health & Safety to Cybersecurity, E-Learning, and ISO compliance, we’ve got you covered. Citation has achieved strong growth through a combination of organic expansion and strategic acquisitions, continually broadening our expertise, services, and reach to create a one-stop shop that supports businesses across the UK, Canada and Australia. The Role Lead multiple engineering teams to deliver secure, reliable, high-quality products at pace. You will drive modern engineering practices, DevOps maturity and AI-enabled ways of working across both our products and software delivery processes. Working closely with Product, Design, Architects and Tech Leads, you will help shape technical direction, improve delivery effectiveness, and coach teams to build, ship and operate software successfully. We are looking for someone with strong hands-on experience using and scaling AI in engineering environments, particularly AI/agentic coding assistants, and AI-enabled product capabilities. People Leadership • Lead, coach, and support multiple cross-functional engineering teams and tech leads., • Foster a culture of ownership, psychological safety, accountability, and continuous improvement., • Run regular 1:1s, provide clear feedback and support career development and performance management., • Grow leadership capability within teams so decisions can be made effectively at the right level., • Support hiring, onboarding and retention to build diverse, high-performing teams. Technical Leadership and Engineering Excellence • TDD/BDD, Clean Code, pair, and mob programming, • Automated testing across unit, integration, end-to-end and performance levels, • Secure SDLC practices from design through deployment, • Work with architects and senior engineers to evolve robust, observable, secure and cost-effective cloud-native architectures., • Maintain a strong understanding of technologies including:, • .NET / .NET Core, Java, PHP, and related frameworks, • JavaScript/TypeScript, React and modern front-end development, • Relational and NoSQL databases AI, Automation and Innovation • Drive adoption of AI and automation within engineering workflows and product capabilities., • Identify opportunities where AI can improve quality, reduce manual effort or enable new customer value., • Lead effective adoption of AI/agentic coding assistants across coding, testing, documentation and operational workflows., • Ensure AI usage aligns with security, privacy and compliance standards., • Run lightweight experiments and spikes to validate AI use cases and measure impact., • Collaborate with internal or external AI/ML specialists and vendors to integrate AI services into products and platforms., • Support the full lifecycle of AI-enabled features from prototype through to production monitoring and operation. Delivery and Stakeholder Management • Partner with Product Managers and Product Owners to define outcomes, priorities, roadmaps and delivery plans., • Ensure teams deliver small, frequent, high-quality increments and manage dependencies proactively., • Communicate clearly with stakeholders on priorities, risks, trade-offs and delivery scope., • Contribute to cross-team planning, portfolio alignment, and architectural review activities. Process, Quality and Continuous Improvement • Continuously improve team ways of working, agile delivery practices and operational processes., • Establish clear standards for testing, release management, resilience and non-functional requirements., • Use metrics and team feedback to improve delivery flow, reliability, stability and team health., • Improve cross-team coordination around technical debt, releases, environments and operational change. About you Leadership and Management • Significant experience leading software engineering teams delivering production systems., • Experience managing multiple teams or complex product-focused engineering organisations., • Proven ability to develop engineers and tech leads, manage performance effectively and improve team health. Technical • Strong background in modern software engineering, including experience with:, • .NET / .NET Core, Java, PHP and related frameworks, • JavaScript/TypeScript, React and modern front-end technologies, • Relational and/or NoSQL databases, • Practical experience with:, • CI/CD pipelines and automated testing, • Cloud platforms such as Azure and/or AWS, • Containers and infrastructure-as-code tools including Docker, Kubernetes, Terraform or Ansible, • Monitoring, logging and performance analysis tooling AI and Automation • Practical experience using and rolling out AI/agentic coding assistants in engineering teams., • Experience designing, integrating or operating AI-enabled product features., • Ability to evaluate AI tools and approaches pragmatically across value, risk, cost and compliance considerations. Behavioural • Excellent communication skills across technical and business audiences., • Strong problem-solving and decision-making capability in complex environments., • Collaborative, low-ego approach with strong cross-functional partnership skills., • Strong ownership mindset with a focus on delivering measurable outcomes. Nice to Have • Experience in B2B SaaS and/or domains relevant to Citation including HR, Health & Safety, Certification, background screening or eLearning., • Experience working across multiple business units or product portfolios., • Experience leading distributed or remote teams., • Previous exposure to ML/AI-focused engineering leadership environments. Here’s a taste of the perks we roll out for our extraordinary team members: 25 Days of Holiday + 8 Bank Holidays: We’re talking sun-soaked beaches, snow-capped mountains, or simply your favourite cozy spot at home. Take your well-deserved break with 25 days of holiday, plus those cherished bank holidays. Birthday Bliss: Your birthday isn’t just another day on the calendar; it’s YOUR day! Enjoy it in style with a day off, because at Citation, we believe in celebrating YOU. Post-Wedding Bliss: Newlyweds, we’ve got something special for you too! Extra weeks of holiday to bask in the glow of post-wedding happiness. Growing Families: We’re all about supporting our Citation family, and that includes expectant parents. Vouchers and special perks await to celebrate the newest addition to your family. Healthcare cash plan: Your well-being is our priority. That’s why we offer private healthcare to ensure your peace of mind and keep you feeling your best.

Strong experience in Google Cloud Platform (GCP) infrastructure engineering, including designing, building, and operating secure, scalable, and automated cloud solutions, particularly across compute services * Proficiency in Infrastructure as Code (IaC) using Terraform, along with hands-on experienc

Environments Manager We are currently recruiting for an Environments Manager to join a leading organisation based in the UK. This would be the excellent opportunity for someone who has a background of working within financial services Salary - £80,000.00 per annum Location - Remote with occasional travel into Bristol Key Responsibility • Lead, manage and develop a team of UNIX sysops engineer, • Own service performance, availability and operational stability across the UNIX estate, • Drive automation and DevOps practices (Puppet, Terraform, Pipelines), • Review current and existing infrastructure and define a roadmap for improvement, • Establish and embed operational best practices, • Implement effective performance management across the team, • Engage regularly with stakeholders, • Strong hands on technical background in - UNIX/Linux (Red Hat preferred), automation tools (Puppet and Terraform), • Proven experience managing similar SysOps/ Infrastructure teams in mid to large environments, • Demonstrated ability to improve service performance and availability, • Drive automation and DevOps initiatives, • Lead technical change within infrastructure estates, • Cre...

Senior Platform Engineer (DevEx) – GCP, Kubernetes, Terraform, CI/CD, Python Oliver Bernard are currently seeking a strong, Senior Platform Engineer (from a Software Engineering background) to join a client of ours on a digital transformation orientated project. Existing plans are focused on embracing Cloud Native, removing a lot of bespoke engineering from their environment, optimising processes, and advocating for DevEx / Dev enablement throughout. The existing Platform team consists of four engineers who work closely with engineering day to day, and are responsible for scaling their practices across Cloud, Containers, and IaC technologies, whilst driving best practices from a broader engineering perspective across Infrastructure. This is a remote first role, and requires the following hands-on experience to be considered: • Strong Cloud experience with GCP (at least 3-4 years), • Containerisation / Orchestration with Kubernetes (+ Helm), • IaC with Terraform, alongside Automation with Ansible, • Prior work across CI/CD, Monitoring and Observability, • Comfortable coding with an OO language (ideally Python or Java), • Prior experience in a Senior capacity This position is a remote first opening (with office visits only required quarterly for team days) and can offer £75-85K for the right profile. Senior Platform Engineer (DevEx) – GCP, Kubernetes, Terraform, CI/CD, Python

Principal Data Platform Engineer Java, Kafka, AWS Remote (UK‑based) Permanent – Up to £130,000 + Benefits Security Clearance Requirement For this role, you must be eligible for SC Clearance. Due to the secure nature of the work, this requires British Citizenship, as some data is UK Eyes Only. Overview We are seeking an experienced Principal Data Platform Engineer to play a key technical leadership role within a high‑impact programme delivering secure, scalable, real‑time data platforms for critical UK Government and national infrastructure clients. This is a hands on senior engineering role with significant responsibility for technical direction, architecture design, client assurance, and mentoring. You will work closely with both internal teams and client stakeholders, helping shape solutions from early concept through to production delivery. The Role As a Principal Data Platform Engineer, you will provide technical leadership across multiple data platform initiatives, designing and assuring highly available, low‑latency, and scalable batch and real‑time data solutions. You will act as a trusted technical authority, engaging directly with clients, producing high‑quality architecture designs, and ensuring proof‑of‑concept solutions are robust, secure, and production‑ready. Key Responsibilities • Lead the design and delivery of complex batch and real‑time data pipelines and backend services, • Produce high‑level and low‑level architecture designs, ensuring alignment with security, scalability, and performance requirements, • Provide technical assurance for solution designs and proof‑of‑concepts prior to production implementation, • Act as a client‑facing technical lead, working alongside customer teams to define requirements, shape solutions, and build confidence, • Mentor and coach Lead and Senior Engineers, setting technical standards and raising overall engineering capability, • Drive and promote best engineering practices, including TDD, CI/CD, DevOps, and clean, maintainable code, • Influence technology choices and architectural patterns across the data platform estate, • Collaborate with architects, analysts, security specialists, and testers in Agile / BDD environments, • Oversee services in production, ensuring resilience, performance, and operational excellence, • Contribute to technical strategy, estimation, delivery planning, and roadmap definition, • Champion continuous improvement across data platform tooling, processes, and ways of working Required Experience • Extensive commercial experience with Java in production environments, • Strong experience designing and building Kafka‑based streaming platforms, • Hands‑on experience with Spark, Flink, Kafka Streams, or similar technologies, • Experience with Spring Boot and/or Python, • Deep experience working with AWS, including services such as Lambda, S3, and cloud‑native architectures, • Experience integrating with data stores such as PostgreSQL, Redis, or similar, • Strong understanding of data pipelines, data modelling, and distributed systems, • Proven experience leading technical designs and mentoring engineers, • Comfortable working in client‑facing roles, explaining complex technical concepts clearly, • Strong background in Agile, DevOps, and modern software delivery practices Desirable Skills • Experience with Elasticsearch, OpenSearch, or Solr, • Infrastructure‑as‑Code tools such as Terraform, Ansible, or Packer, • CI/CD tooling such as Jenkins, Drone, or similar, • Experience working within highly secure or regulated environments The Company You will be joining a UK‑based SME (circa 300 people) that designs, builds, and integrates highly secure data platforms for UK Government and national infrastructure clients. Teams work in integrated, collaborative environments, partnering closely with clients and internal subject‑matter experts. The organisation is known for its high technical standards, strong engineering culture, and genuinely supportive working environment. What’s on Offer • Fully remote working (UK‑based) for security reasons, • Competitive £130,000 salary plus benefits, • Opportunity to work on nationally critical systems, • Access to exceptionally talented engineers and architects, • A role with real technical influence and long term impact If this role is of interest, please apply.

Senior Full Stack Engineer (.NET / React / Azure / AI) 📍 UK (Remote) 💰 £70,000 + Benefits The Opportunity We’re partnering with a rapidly growing AI & Cloud consultancy that is building something genuinely different in the market. This isn’t just another consultancy role. You’ll work across: • 🚀 Cutting-edge internal AI products being taken to market, • 🤝 High-impact enterprise customer projects, • 🧠 Direct collaboration with one of the most technically respected leaders in the cloud & AI space This is a hands-on engineering role for someone who wants to operate at a high technical bar, shape architecture decisions, and build modern AI-enabled platforms properly. If you care about clean design, security, performance, and using AI responsibly to accelerate engineering — you’ll thrive here. What You’ll Be Doing • Designing and building secure, scalable cloud-native applications, • Contributing to internal AI-powered products from concept to market launch, • Working closely with a deeply technical industry leader to shape architecture and engineering standards, • Building modern full-stack platforms across backend, frontend, cloud, DevOps and AI tooling, • Embedding AI-assisted workflows into real-world engineering environments, • Contributing to multi-tenant, secure SaaS architectures Technical Environment: Backend Engineering • C# (.NET / .NET Core), • ASP.NET Core APIs, • Entity Framework Core & Dapper (and knowing when to use each), • SOLID principles & clean architecture, • Asynchronous programming, concurrency & performance tuning, • TDD, unit testing & integration testing, • Code quality gates & peer review discipline, • Secure coding practices Frontend Engineering • TypeScript, • React, • Next.js, • Modern frontend patterns (hooks, state management, server/client data fetching), • Robust API integration & error handling Identity & Security Architecture • Authentication & authorisation design, • SSO flows, • OAuth2 & OpenID Connect, • JWT best practices (signing, expiry, refresh, validation), • Multi-tenant architecture (data isolation, tenant-aware auth, scaling) Cloud & Infrastructure (Azure) • Azure PaaS (App Services, Functions, Storage, Service Bus, Key Vault), • Docker & containerisation, • AKS / container orchestration fundamentals, • Azure Entra ID & managed identities, • Secure networking (VNets, private endpoints, ingress/egress patterns), • Infrastructure as Code (Terraform, Bicep or similar) DevOps & Delivery • Advanced CI/CD pipelines (Azure DevOps, GitHub Actions), • Build, test & release automation, • Secure pipeline design & secrets management, • Environment promotion strategies AI-Enabled Engineering • AI-assisted development workflows (Copilot, Claude Code or similar), • Advanced prompting for engineering tasks, • Agent-based or orchestration familiarity (Semantic Kernel, AutoGen or similar), • AI coding guardrails & validation gates, • Using AI as a force multiplier without compromising maintainability or security What Makes This Role Different • You’ll help build real AI products, not just prototypes, • You’ll operate at a genuinely high engineering bar, • You’ll work directly with one of the most technically credible names in the industry, • You’ll influence architecture, standards and best practice from day one, • You’ll join at a stage where your impact is visible and meaningful Salary & Package • 💰 £70,000, • Flexible working, • High ownership, high autonomy, • Exposure to advanced AI engineering practices

SC Cleared DevOps Engineer – AWS, Java, React – 12 Months - £450 - £550 per day – Inside IR35 – Home based SC Cleared DevOps Engineer - AWS – Home based. Experience building and operating secure, automated, cloud‑native platforms, ideally within public‑sector, policing, justice, or other security‑sensitive environments. Comfortable working with LLM‑assisted engineering, and Claude is a strong bonus. This programme is already in delivery and requires a significant number (x40) of DevOps Engineers to accelerate build and deployment activity, with a target completion around mid-year. Skills & experience: • SC Clearance – (NPPV3 ideally), • AWS - Building and operating secure, automated, cloud‑native platforms, • DevOps – Software Engineering, • Comfortable working with LLM‑assisted engineering, and Claude is a strong bonus, • Experience working in a AWS, Postgres, React, Node environment, • Build and maintain CI/CD pipelines for automated build, test, and deployment, • Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, • Deploy and manage applications using containerisation (Docker) and Kubernetes, • Contribute to software engineering activities across the platform (not pure ops), • Work within cross-functional teams delivering a modern data platform, • Support the migration from a legacy mainframe system to a cloud-native solution Security Clearance • SC Clearance – must be currently held (Home Office SC highly preferred), • NPPV Level 3 – not required upfront, but must be willing to undergo SC Cleared DevOps Engineer – AWS, Java, React – 12 Months - £450 - £550 per day – Inside IR35

Hybrid – Automation (Python/Ansible/Terraform) – Palo Alto.This is an engineering role focused on enterprise network design, implementation, security and modernisation.The successful candidate will take ownership of complex infrastructure initiatives, working closely with architecture teams and

Senior DevOps Engineer in Bristol, UK.This position involves designing and implementing secure cloud infrastructure, using AWS and tools such as Terraform and Ansible.Candidates should have strong skills in CI/CD pipelines, container orchestration, and the ability to work within Agile teams.The role

IT Appointments Limited is seeking a Network Automation Engineer to design and implement network infrastructures in a hybrid role. Offering a salary range of £60k – 75k, this position is geared towards experienced professionals with a keen focus on automation and networking solutions. The candida

Canada Life UK looks after the retirement, investment and protection needs of individuals, families and companies. We help to build better futures for our customers, our intermediaries and our employees by operating as a modern, agile and welcoming organisation. Part of our parent company Great-West Lifeco, Canada Life UK has operated in the United Kingdom since 1903. We have hundreds of respected and supported employees committed to doing the right thing for our customers and colleagues. Canada Life UK is transforming to create a more customer-focused business by providing our customers with expertise on financial and tax planning, offering home finance and annuities propositions, and providing collective fund solutions to third party customers. Job Purpose We're looking for an Azure Platform Engineer with strong experience in Kubernetes and an interest in platform abstraction and cloud-native infrastructure patterns. You'll help us design and build shared platform capabilities on Azure that hide complexity from product teams while enforcing security, reliability and governance by default. This role is ideal for an engineer who: Enjoys working with Kubernetes and Azure Thinks in terms of platform APIs, abstractions and self-service Is curious about emerging control plane and infrastructure abstraction approaches Wants to help teams consume infrastructure as a product How the Team Works You'll join a Platform Engineering team focused on building reusable, internal platform services rather than one-off infrastructure. We work using: Kubernetes as a core platform primitive GitOps, CI/CD and Infrastructure-as-Code DevSecOps and SRE-inspired practices AI-assisted engineering (Copilot, agents, automation) What You'll Do Build and operate Azure-backed platform services exposed through Kubernetes APIs Design abstractions that allow teams to provision infrastructure safely and consistently Work with AKS as a core runtime for platform and workload services Contribute to platform control plane capabilities (e.g. Kubernetes-based or API-driven approaches) Define and manage Azure resources using Terraform, Bicep and declarative approaches - Embed security, governance and policy into platform defaults Support GitOps-driven workflows and CI/CD pipelines Improve observability, reliability and operational readiness Who You Are Essential: Experience in Azure, cloud engineering, DevOps or platform roles Hands-on experience with Kubernetes Infrastructure-as-Code experience Scripting (PowerShell, Bash or Python) CI/CD and Git-based workflows Desirable: Experience with platform abstraction or control plane patterns (e.g. Crossplane, Pulumi, or similar approaches) Kubernetes extension patterns or operators Terraform or Bicep Azure networking, identity and governance GitOps tooling Benefits of working at Canada Life We believe in recognising and rewarding our people, so we offer a competitive salary and benefits package that's regularly reviewed. As a Canada Life UK colleague, you'll receive a competitive salary and comprehensive reward package including a generous pension and bonus scheme, along with, income protection, private medical insurance and life assurance. We have a fantastic number of other benefits and support services as well as regular personal and professional development. How we work at Canada Life Our culture is unique and incredibly important to us. We care about doing the right thing for our people, customers and community and helping others to build better futures. Our blueprint behaviours shape and influence how we work, and are central to the relationships we have with others. Every day we are encouraged to be more curious, own the outcome, face into things together and find a way forward. We want colleagues to have rewarding careers with us so we invest in the development of our people, technology and workplaces. That's why we offer a range of training, flexible working and opportunities to grow and develop. Diversity and inclusion Building an inclusive workplace with a diverse workforce where everyone can feel they belong and achieve their potential regardless of gender, ethnicity or any other characteristic is a key commitment for us. We are proud of the progress we're making in DEI, and we continue for it to be a significant focus. "At Canada Life we believe in the power of great people from different backgrounds, experiences and perspectives coming together to build better futures. Emerging talent is crucial to our growth and creating an environment that continues to inspire us all." Nick Harding, Chief People Officer, Canada Life UK We appreciate that everyone has different work and life responsibilities. We're happy to discuss flexible working arrangements, including part time, for any of our roles should this be a requirement for you. TPBN1_UKTJ

Software Engineer | Bristol | Hybrid £50,000 - £65,000 We are looking for a Software Engineer to join a fast growing technology business building a cloud native SaaS platform used by enterprise customers. The platform operates in a high scale, data driven environment and is moving towards more advanced analytics and AI enabled capabilities. The engineering team works in a modern, product led environment with strong DevOps principles. Engineers are responsible for their services end to end, from design through to production, with frequent deployments and a strong focus on automation, testing and reliability. Key responsibilities Design, build and maintain backend services using Python or Go Develop and maintain APIs Contribute to system design and architectural discussions Work closely with product and design to deliver features end to end Improve performance, scalability and reliability across services Support continuous improvement of engineering practices and tooling Tech environment Python or Go AWS cloud environment Kubernetes and containerised workloads Terraform and infrastructure as code CI/CD pipelines with strong automation and testing focus Requirements Experience building production ready software systems Strong understanding of software engineering principles Commercial experience with Python or Go Familiarity with cloud environments such as AWS Understanding of CI/CD and DevOps practices Experience working with APIs and databasesThis is a strong opportunity for a Software Engineer looking to work in a modern engineering environment with real ownership, strong technical standards and the ability to work on a scalable platform with minimal legacy constraints

DevOps Engineer | 6 month initial | (Apply online only) OutsideIR35 | 3 days on site in Bristol Key requirements: • 2–5 years’ experience in a DevOps role - Strong hands-on experience with AWS - Experience building and maintaining CI/CD pipelines - Exposure to Infrastructure as Code (Terraform / CloudFormation) - Docker / Kubernetes experience Desireable: Pulumi Experience Please attach your CV if you are interested, this role does not offer any sponsorship...

Ideal candidates will have extensive experience in multi-cloud environments, Terraform skills, and a proactive mindset focused on collaboration.

Key responsibilities include designing CI/CD pipelines, managing RBAC, and developing Infrastructure as Code with Terraform.

Ideal candidates have over 3 years' experience in AWS, strong skills in Terraform, and hands-on CI/CD pipeline development.