Terraform jobs in SheffieldCreate job alerts

Principal Data Engineer Twinkl is on an exciting journey to redefine how we serve our global teaching community through data. We're building a world-class data engineering function to power the next generation of our data platform, with modern tools and practices at our core. As a Principal Data Engineer, you'll build and maintain the robust data systems that power our analytics and operational needs. You'll work across our entire data platform, from batch processing to real-time event streams, ensuring our solutions are scalable, maintainable, and deliver real value to our users. Data Engineering Team You'll have the opportunity to work with modern data engineering tools and practices, while learning from experienced engineers. We offer the freedom to work in whatever way suits you best - whether that's remote, in our Sheffield office, or a mix of both. You're encouraged to contribute to architectural decisions, take ownership of key platform components, and develop your skills across the full data engineering spectrum. With our focus on impact over hours worked, you'll be part of a team that values pragmatic solutions and continuous learning, working on projects that make a real difference to educators worldwide. • We embrace modern data engineering practices and tools, • We champion learning and development, • We believe in empowering engineers to drive technical decisions, • We focus on impact and outcomes over process What will you be doing? As our Principal Data Engineer, you will: • Work with stakeholders to scope out new high impact projects, • Design, build and maintain scalable data pipelines, • Implement event streaming solutions, • Design and optimize data models from ingestion to presentation layers, • Set and implement the standards for code quality, testing practices, CI/CD workflows, • Design solutions and make architectural decisions that serve the long term needs of the organization, • Work closely with data scientists and analysts to identify and deliver high impact projects, • Manage stakeholders across the business from both technical and non-technical domains, • Help build and maintain our data catalog and documentation, • Implement comprehensive data quality frameworks and standards that contribute to confidence in our data, • Turn complex data problems into maintainable solutions, • Identify opportunities for the use of AI across the development lifecycle, • Build an awareness of data industry trends and opportunities that Twinkl can leverage to, • Mentor and coach existing team members, sharing knowledge and experience, investing in the growth of the whole team What do we need from you? • Minimum 7 years experience working in Data Engineering/Analytics Engineering or within data teams, • Minimum 2 years of experience with a modern data platform such as Databricks or Snowflake, • Minimum 2 years of experience with DBT or similar data modelling framework, • Knowledge of different data architecture patterns and how and when to implement them, • Knowledge of data modeling and warehouse design, • Minimum 5 years experience with SQL and Python, • Experience with version control and CI/CD, • Experience with infrastructure as code such as Terraform, • Experience implementing data quality and testing approaches in a modern data platform, • Experience implementing testing and deployment patterns for modern data pipelines Most importantly, you should: • Be curious about how things work and always looking to learn more, • Care about building reliable systems that make other people's jobs easier, • Understand that sometimes "boring" technology is the right choice, • Get satisfaction from cleaning up messy data problems, • Want to work somewhere where you can have real impact, not just maintain the status quo What’s in it for you? • A friendly, welcoming and supportive culture. We believe work should be fun and always put people before process, • 33 days annual leave per year, pro rata. You decide which public holidays to recognise. After 2 years of employment, your annual leave entitlement will accrue year on year up to 38 days annual leave, • An additional day of annual leave, a Me Day, to take time for yourself, • Charity day to volunteer and support a registered charity of your choice, • Westfield Health (including Health Club discount and Westfield Rewards discount and cashback), • Learning and Development opportunities, with opportunities for internal mobility across various departments / areas of the business, • 4 x annual salary death in service life assurance, • Enhanced pension after long service, • Enhanced parental and adoption leave after long service, • Quarterly awards designed to reward and recognise our wonderful Twinkl employees, • Seasonal events for all UK employees so you can catch up with your new colleagues in person, • Twinkl Subscription How do we make it happen? We like to keep things simple and clear, after an initial chat with our TA Partner the process is: • Initial 30 minute chat with one of our Head of Data Engineering so you can get to know more about the role., • 60 minute technical interview - we’ll go over your tech test and talk about it in more detail. Then we’ll do a few competency based questions. You’ll also have the opportunity to ask questions about the role and Twinkl and get to know why the data team is a really exciting place to work., • 60 minute behaviours interview - where we'll do some competency based questions and you’ll also have the opportunity to ask questions about the role and Twinkl and get to know why the data team is a really exciting place to work., • That’s it, we’ll review everything and let you know, either way you’ll be given feedback about your interview because we believe constructive feedback is always important. At Twinkl, we encourage diversity, and our doors are open to everyone. We're committed to creating an inclusive workplace for all. If you need any adjustments during the application process to showcase your abilities, please let us know. We're here to support you on your journey.

Senior Backend Engineer - UK UK applicants only | Remote (Brighton HQ) | £80,000 - £100,000 We’re hiring a senior backend engineer to join a disciplined, senior team responsible for the platform behind Eequ, where engineers have real ownership and operate with high autonomy. This is a high-seniority individual contributor role. You will have been the primary owner of production systems, accountable for their design, deployment, and reliability under real-world load. You will be hands-on, responsible for both building and deploying the systems you work on. About Eequ Eequ is the market leader in delivering booking infrastructure for government-funded programmes supporting underserved communities, while also powering a growing commercial marketplace for activities across the UK. By serving both, we’re lighting up a nationwide network of independent providers and helping bring communities together through real-world classes, clubs and events. We are a product-led company with a high bar for quality, where thoughtful software design is the main engine of adoption and retention. Our growth has come not from sales people, but from customers who became our champions, because we built something genuinely worth recommending. What you'll do Build and operate the backend platform that powers a real marketplace handling bookings, payments, and reporting for thousands of families and providers. • Design and ship features from API design through database models to deployment, • Make architectural decisions and communicate them clearly to the team, • Own our AWS infrastructure, CI/CD pipelines, and keep production healthy with observability and alerting, • Lead incident response when things break, find root causes, and drive follow-ups, • Improve database performance, query patterns, and data pipeline as usage grows Our stack This stack reflects the platform we build and operate. You're not expected to have deep expertise in everything listed, but you should be comfortable and excited working with these technologies. • Node.js, NestJS, TypeScript, • MySQL with TypeORM, Redis-backed job queues, • AWS (EC2, RDS, S3, CloudWatch), managed with Terraform, • Monorepo with Turborepo, shared packages, and automated testing, • Github, Slack, Linear Who you are You've shipped and maintained scalable systems handling real-world transactional workloads You've owned cloud infrastructure, CI/CD pipelines, and incident response You favor simple, reliable architecture over clever solutions You take security seriously, especially around payments and personal data You're self-directed and operate with high agency You elevate others through thoughtful code reviews and mentorship Application link:

Role: Azure DevOps Engineer - OUTSIDE IR35 Valid SC Clearance required Travel: 2 days a week on-site in Milton Keynes OUTSIDE IR35 We are seeking a skilled Azure DevOps Engineer with strong experience in Microsoft Azure, Power Platform, and Power BI to design, implement, and optimize CI/CD pipelines, cloud infrastructure, and data solutions. The ideal candidate will bridge development, operations, and business intelligence teams to deliver scalable, secure, and automated solutions across the Microsoft ecosystem. Requirements: • 3+ years of experience with Azure DevOps and CI/CD pipeline implementation., • Hands-on experience with Microsoft Azure services (App Services, Azure Functions, Storage, Key Vault, etc.)., • Strong experience with Power Platform (Power Apps, Power Automate, environment management)., • Experience deploying and managing Power BI solutions, including data modeling and workspace governance. Key Responsibilities: • Design and maintain CI/CD pipelines using Azure DevOps for cloud and Power Platform solutions., • Deploy and manage infrastructure in Microsoft Azure using Infrastructure as Code (ARM, Bicep, or Terraform)., • Implement governance, security, and lifecycle management for Power Platform environments., • Support development and deployment of Power Apps, Power Automate flows, and integrations., • Manage Power BI workspaces, datasets, deployment pipelines, and data refresh strategies., • Monitor system performance, ensure reliability, and optimize cloud costs., • Collaborate with developers, data engineers, and business stakeholders to deliver high-quality solutions., • Maintain documentation, standards, and best practices for DevOps and BI processes.

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

Do you want to work on real-world deployments of cutting-edge machine learning models, including Large Language Models (LLMs)? Aveni is redefining how AI works for financial services. Our purpose-built, vertically integrated platform combines proprietary Language Models (FinLLM), intelligent AI Agents, and targeted solutions like Aveni Assist and Aveni Detect. We partner with leading financial institutions to deliver scalable, secure, and compliant AI-powered solutions that create measurable value across advice, compliance, and operations. We're looking for a motivated Senior DevOps Engineer, eager to help us deploy and maintain machine learning models, especially Large Language Models (LLMs), in production environments. If you have solid DevOps experience and are keen to grow your MLOps skills, we’d love to hear from you! What You'll Be Doing: • Automating Machine Learning workflows (training → deployment) with AWS & GitOps, • Deploying LLMs using Kubernetes & Docker, • Building infrastructure with Terraform & Helm, • Monitoring and maintaining ML models with performance alerts and dashboards, • Supporting CI/CD for ML pipelines, • Developing production-grade APIs (REST/gRPC) to serve models, • Collaborating with engineers, data scientists & DevOps teams Your Experience: • Industry experience in DevOps or MLOps roles (ideally in AWS environments), • Hands-on with Docker, Kubernetes, and Terraform, • Strong scripting skills in Python or Bash, • Familiar with ML lifecycle tools, model monitoring, and versioning, • Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: • Experience with observability frameworks like Prometheus or OpenTelemetry, • Knowledge of ML libraries: TensorFlow, PyTorch, HuggingFace, • Exposure to Azure or GCP, • Passion for financial services Requirements: • Degree in Computer Science, Engineering, Data Science or similar What We Offer • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!

Senior AWS Platform Engineer | AWS, Terraform, Kubernetes | Remote, up to £90k A growing cloud and platform engineering consultancy is looking for a Senior AWS Platform Engineer to play a key role in designing and building secure, scalable cloud platforms for a range of high-impact projects. This is a hands-on role suited to someone who enjoys solving complex infrastructure challenges, improving developer experience, and enabling teams to deliver software faster and more reliably. You’ll be working with modern cloud-native technologies across AWS, using tools such as Terraform, Kubernetes (EKS), and CI/CD pipelines to build robust, production-grade platforms. Key Responsibilities • Design, build, and operate AWS platform components aligned with best practices, • Implement and maintain infrastructure as code using Terraform, • Build and improve CI/CD pipelines to support efficient, reliable delivery, • Support containerised workloads using Kubernetes and EKS, • Collaborate with engineering teams to enable cloud-native development patterns, • Implement monitoring, logging, and alerting for improved visibility, • Create reusable modules and deployment patterns, • Contribute to continuous improvement of platform performance, security, and scalability Requirements • Strong experience working with AWS in a platform or DevOps capacity, • Hands-on experience with Terraform (or similar IaC tools), • Experience with Kubernetes and containerised environments, • Solid understanding of CI/CD pipelines and automation practices, • Experience working in collaborative, cross-functional engineering teams, • Strong problem-solving mindset with a focus on reliability and scalability Location: Remote (UK-based) Salary: Up to £90k Senior AWS Platform Engineer | AWS, Terraform, Kubernetes | Remote, up to £90k

Job Title: Principal DevOps Engineer II Industry: FinTech / Payments Technology Location: United Kingdom (Fully Remote) Salary: Up to £125,000 base + 9% bonus Type: Permanent, Full-time A rapidly growing global payments technology organisation is looking for a Principal DevOps Engineer II to help define and scale its enterprise DevOps platform. This is a senior technical leadership role focused on architecting and evolving the engineering delivery platform that supports both cloud and on-premise environments. You’ll work closely with engineering leadership, security teams, and developers to design scalable CI/CD architecture, improve developer experience, and implement platform standards across the organisation. This role offers the opportunity to make a significant impact by driving automation, improving delivery performance, and shaping DevOps culture across a modern engineering environment. The Role: • Define and own the architecture of the organisation’s engineering delivery platform, covering CI/CD pipelines, artifact management, secrets management, and infrastructure provisioning., • Lead the migration and implementation of GitHub Enterprise and GitHub Actions, building reusable workflow frameworks and enforcing automated security and quality gates., • Architect and manage secrets and credential management strategies using HashiCorp Vault., • Develop and manage artifact repository strategies, including promotion pipelines, vulnerability scanning integration, and multi-language ecosystem support., • Drive Infrastructure as Code adoption using Terraform and configuration management through Ansible to enable fully automated environments., • Establish containerisation standards using Docker and Docker Compose to support consistent development and production environments., • Manage Cloudflare infrastructure including DNS lifecycle automation, WAF rules, and Zero Trust access policies., • Improve developer experience by building standardised pipeline frameworks that accelerate service delivery and reduce time-to-production., • Champion self-service and inner-source practices, creating shared tooling, documentation, and pipeline libraries for engineering teams., • Implement delivery metrics and dashboards to monitor deployment frequency, lead time for changes, and platform performance., • Provide technical leadership across engineering teams, identifying systemic delivery challenges and implementing scalable solutions., • Mentor senior engineers and contribute to raising DevOps standards through technical design reviews, documentation, and knowledge sharing. Skills Needed: • 12+ years of hands-on technical experience with strong foundations in software engineering and DevOps practices., • Proven experience delivering organisation-wide platform initiatives such as CI/CD architecture redesigns or DevOps platform migrations., • Strong coding ability in a statically typed language such as C# or Java., • Expert experience with GitHub and GitHub Actions including reusable workflows and automated pipeline frameworks., • Advanced Terraform expertise including module design, remote state management, and infrastructure policy enforcement., • Strong experience with configuration management tools such as Ansible., • Strong experience with HashiCorp Vault for secrets management and security integration., • Deep containerisation expertise using Docker and modern image optimisation practices., • Experience managing artifact repositories and CI/CD integration across multiple programming ecosystems., • Experience delivering infrastructure across cloud platforms (AWS, Azure, GCP, or Oracle Cloud) and on-premise environments., • Strong understanding of DevOps security practices including SAST, dependency scanning, container security, and supply chain security., • Excellent communication and technical leadership skills. Benefits • Fully remote working (UK-based), • 5 days paid holiday plus bank holidays, • £5,000 annual certification and professional development budget, • £60 per month work-from-home allowance, • Private healthcare, • Additional benefits and performance-based incentives Research indicates that men will apply to a role when they meet only 50–60% of the requirements, while women and other underrepresented groups often look for a 90–100% match. If this role excites you but you don’t tick every single box, please still apply. We’d love to hear from you.

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k Base Salary + Discretionary Bonus + Equity Zettafleet is an end-to-end platform for businesses and organisations to train their own LLM on their proprietary data. We can use non-conventional AI hardware and automatically source and combine GPUs (and other types of AI accelerators) from multiple cloud providers, enabling users to optimise for cost, duration or geographic location of the training. The founding team consists of Cambridge graduates and former engineers at Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: • Design and develop highly-scalable, fault tolerant and event driven systems that directly power our core products., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Mentor colleagues and lead by example, raising the bar for the whole company., • Help hire future colleagues and shape the team you want to work with. Our tech stack: • We use and leverage AWS as much as possible and manage it with Terraform., • Services are written in C# (.NET 10) and deployed to ECS or Lambda via GitHub Actions., • We use Postgres, SNS/SQS and Redis., • We have good end-to-end test coverage and are confident in our deployments. What we are looking for: • Back-end development: 5+ years of industry experience building reliable and scalable back-end systems with an object-oriented language., • Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana)., • Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship., • Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact., • Leadership: A track record of leading complex projects and influencing technical direction., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. Nice to have: • Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience in an early-stage startup environment. How we work: • We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well., • This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Why join us? • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

The Opportunity - (Fully Remote, Perm role) This is a greenfield data platform build. ___ is in the middle of a major AI transformation — a multi‐agent copilot platform (KAI) is already live in production, serving manufacturing clients globally. The AI roadmap is ambitious (agentic AI capabilities, multi‐agent orchestration, voice interfaces), and the next wave of capabilities depends on a strong data engineering foundation. A Databricks lakehouse POC is being evaluated (Unity Catalog, Delta Sharing, PrivateLink to RDS), and the team is assessing the right long‐term analytics platform strategy. This role builds the entire data engineering function from scratch — defining the architecture, tooling, and patterns that power the next generation of AI capabilities. This is an entirely forward‐looking role. While there is an active platform modernisation underway (the engineering team is migrating a .NET platform from SQL Server to PostgreSQL and containerising for Kubernetes), this role’s primary focus is building new data pipelines and analytics infrastructure, not maintaining legacy systems. That said, collaboration with the platform engineering team is important, as the data pipelines need to ingest from both the existing SQL Server estate and the new PostgreSQL databases. Core Technical Requirements • Python — primary language for data pipelines, scripting, and integration with the AI stack. This is a Python‐first team, • SQL (SQL Server + PostgreSQL) — deep experience required across both engines. The platform runs a large‐scale multi‐tenant database estate with per‐client schemas (local, global, corporate). The new platform targets Aurora PostgreSQL, with several modules already migrated. Pipelines must bridge both., • Databricks / Apache Spark — a lakehouse POC is being evaluated with Unity Catalog and Delta Sharing via AWS PrivateLink. Experience with Databricks or equivalent analytics platforms is important for assessing and scaling the right approach, • Apache Kafka — event streaming experience is essential. The platform is evaluating Kafka as the strategic backbone for ordered event logs, consumer group replay, and guaranteed partition ordering as the microservices fleet scales, • ETL/ELT pipeline design — building and maintaining pipelines into a medallion architecture (bronze/silver/gold layers) on Databricks or equivalent analytics platform, • Delta Lake — understanding of lakehouse table formats, time travel, and ACID transaction patterns, • AWS data services — RDS, S3, Lambda, Glue or equivalent. The platform runs entirely on AWS • Linux / CLI proficiency — must be comfortable working AI-Assisted Development Methodology -> Solvace is transitioning towards AI‐assisted development as a core engineering practice. Candidates should demonstrate: • Hands‐on experience with AI coding tools — Claude Code, OpenAI Codex, GitHub Copilot, Cursor, or similar. We’re looking for engineers who have integrated these tools into their professional workflow, not just experimented casually, • Spec‐driven development — ability to write clear technical specifications that can be used to drive both human and AI‐assisted implementation, with strong evaluation criteria and test coverage, • Portfolio evidence — professional projects or side projects that demonstrate AI‐assisted development practices. Contributions to or experimentation with emerging projects like OpenClaw are a strong signal, • Testing and evaluation rigour — experience building robust test suites, automated quality gates, and evaluation frameworks that ensure AI‐assisted code meets production standards Nice-to-Have -> • Apache Flink — for real‐time stream processing as the platform moves from batch to streaming analytics, • Apache Iceberg — experience with open table formats alongside or as an alternative to Delta Lake, • Go or Rust — valued as evidence of strong backend engineering and systems thinking, even though Python is the primary language, • Multi‐tenant data architectures — the platform runs per‐client schemas with tenant isolation requirements. Understanding tenant isolation patterns is a significant advantage, • Terraform / IaC — infrastructure is managed via Terraform; the Databricks POC has been codified in Terraform, • dbt or similar transformation framework, • Manufacturing / industrial data domain experience (sensor data, quality metrics, OEE, SPC), • CDC (Change Data Capture) — the platform is building CDC pipelines for the SQL Server to PostgreSQL transition, • Weaviate or other vector database experience — currently used for semantic search in the AI agent layer Why Join? • Greenfield data platform — the entire data engineering practice needs to be built from scratch. A lakehouse POC is being evaluated but the production architecture is theirs to define — patterns, tooling, and platform decisions from day one, • Direct AI impact — every pipeline they build directly unblocks AI agent capabilities. The KAI copilot is live in production and evolving towards agentic AI — autonomous agents that take actions, orchestrate workflows, and operate across systems. This role provides the data foundation that makes agentic capabilities possible, • Event streaming architecture — opportunity to design and implement a Kafka‐based event backbone, shaping the platform’s real‐time data architecture, • Manufacturing AI — opportunity to work at the intersection of industrial operations and generative AI, a domain with massive untapped potential. Rich, real‐world data: quality inspections, KPIs, maintenance records, safety observations, process parameters across global manufacturing sites, • Small team, high autonomy — the Innovation Hub operates with startup‐level autonomy inside a funded, growing company, • Leadership trajectory — the data function is critical to the platform and will grow. As an early hire, there is an open career path that will grow with the function — earned, not guaranteed

Senior Software Engineer – Fit-Tech SaaS | Up to £80,000 | UK Remote AWS Cloud | TypeScript | React | Serverless Architecture | HealthTech Recann is partnering with an innovative SaaS organisation in the health and wellness sector that is building a next-generation digital platform to support practitioners and clients across the UK and internationally. Backed by an experienced leadership team with a strong track record of scaling technology businesses, the company is investing heavily in modern cloud infrastructure and engineering practices to support rapid growth. This is an exciting opportunity for a Senior Software Engineer to join a growing engineering team and play a key role in designing, building and scaling a modern cloud-native platform. The role offers the opportunity to work across the full technology stack, contributing to architecture decisions, developing scalable services, and helping shape engineering best practices within a collaborative team. The Role As a Senior Software Engineer, you will work closely with engineering leadership and product teams to build and evolve a scalable SaaS platform supporting international growth. You will contribute to backend services, APIs, and frontend components while helping ensure the platform remains reliable, secure and performant as usage grows. The team embraces modern development tooling and AI-assisted engineering workflows to accelerate development and maintain high quality standards. Key Responsibilities • Design, build and maintain scalable backend services and APIs using TypeScript and modern Node.js frameworks., • Contribute to the development of cloud-native infrastructure on AWS, using services such as Lambda, DynamoDB, EventBridge, ECS and Fargate., • Develop user-facing features using modern frontend frameworks such as React., • Build and maintain integrations with external services including payment platforms such as Stripe and other third-party APIs., • Work with event-driven architectures to build reliable and scalable distributed systems., • Support international platform capabilities including localisation, multi-region deployments and scalable payment processing., • Contribute to CI/CD pipelines using GitHub Actions, ensuring reliable automated testing and deployment processes., • Maintain high standards of code quality using tools such as SonarCloud, automated testing and code reviews., • Implement infrastructure-as-code practices using AWS CDK to ensure repeatable and maintainable cloud deployments., • Monitor system performance and reliability using observability tools such as AWS CloudWatch and distributed tracing solutions., • Collaborate with engineers, product managers and designers to deliver high-quality product features. About You • Strong commercial experience building modern applications using TypeScript and JavaScript frameworks., • Experience working with AWS cloud services and cloud-native application architectures., • Experience developing RESTful APIs and scalable backend systems., • Familiarity with event-driven architecture and distributed systems., • Experience working with CI/CD pipelines and automated testing frameworks., • Knowledge of infrastructure-as-code tools such as AWS CDK or Terraform., • Experience integrating with third-party APIs and services., • Strong problem-solving ability and a collaborative approach to engineering. Desirable Experience • Experience working with React or modern frontend frameworks., • Experience integrating payment systems such as Stripe., • Familiarity with containerisation technologies such as Docker and AWS ECS., • Experience building SaaS platforms supporting international users., • Experience using AI-assisted development tools such as GitHub Copilot or ChatGPT. What’s on Offer • Salary up to £80,000 per annum, depending on skills and experience., • Fully remote working within the UK with occasional in-person meetups in London., • Opportunity to work on a modern cloud-native platform supporting rapid international growth., • Access to health and wellness services., • Vitality Health insurance., • Perkbox benefits platform., • Wellness credits and practitioner services., • 25 days annual leave, increasing by one day per year of service up to 30 days., • Additional birthday leave. Important Information • This vacancy is advertised by Recann, acting as an employment agency on behalf of its client., • The identity of the hiring organisation will be disclosed during the recruitment process., • Recann does not charge work seekers any fees for its recruitment services., • Candidate data will be processed in accordance with UK data protection legislation., • Further role information, including duties, reporting line, and working arrangements, will be provided prior to formal candidate submission.

Overview We are looking for a Senior Data Platform Engineer who thrives on execution and delivery. This role is ideal for a hands-on, high-performing engineer who is passionate about building scalable data platforms and enabling other engineers across the organisation. You will play a key role in developing and evolving our data platform infrastructure, empowering Data Engineers to build and operate reliable data products efficiently. The ideal candidate combines strong database expertise, Snowflake experience, and Infrastructure as Code (Terraform) with a passion for platform engineering. As our platform evolves, we are also investing heavily in Agentic AI systems. Engineers in this team will increasingly act as “Team Leaders of AI Agents”, designing platforms that enable autonomous AI-driven workflows across the data ecosystem. Key Responsibilities Platform Engineering • Design, build, and maintain the data platform infrastructure used by Data Engineering teams., • Enable engineers across the organisation by creating self-service platform capabilities and automation., • Develop and maintain infrastructure using Infrastructure as Code (Terraform)., • Manage and optimise data platform architecture, with a strong focus on Snowflake and database systems., • Implement best practices for data storage, performance, governance, and security., • Act as a platform enabler for the wider Data Engineering community., • Build tools, templates, and workflows that accelerate delivery., • Contribute to the development of agentic AI-enabled data platforms., • Design systems that allow engineers to orchestrate and supervise AI agents performing data tasks., • Work toward a future where engineers act as “Team Leaders of AI Agents”, managing autonomous workflows at scale. Required Skills & Experience • Strong experience in Data Platform or Platform Engineering roles, • Expertise in Terraform / Infrastructure as Code, • Hands-on experience with Snowflake, • Strong background with databases and data infrastructure, • Proven ability to deliver and execute at a high level, • Experience enabling and supporting data engineering teams, • Strong engineering mindset with a focus on practical delivery rather than strategy Desirable Experience • Experience building internal platforms or developer platforms, • Knowledge of modern data stack architectures, • Experience with automation, CI/CD, and cloud-native environments, • Interest or experience in AI-driven automation or agentic systems What We're Looking For • High performer who enjoys building and shipping solutions, • Platform-minded engineer who enjoys enabling others, • Passionate about data infrastructure and developer experience, • Curious about the future of engineering in the age of AI agents

Lead Data Platform Engineer Remote (UK-based) SC Clearance Required (British Citizen) Permanent - Up to £110,000 + Benefits We are looking for a hands-on Lead Data Platform Engineer to join a high-impact programme delivering scalable, real-time data solutions. This role offers the opportunity to work on complex, mission-critical systems using modern technologies across streaming, cloud, and distributed data platforms. The Role As a Lead Data Platform Engineer, you will design and deliver batch and real-time data pipelines that are highly available, low latency, and scalable. You will collaborate with cross-functional teams to shape solutions, influence architecture, and ensure data is transformed into reliable, consumable outputs. Key Responsibilities • Design, build, and deploy data pipelines and backend services, • Work with real-time streaming technologies and event-driven architectures, • Champion engineering best practices including TDD, CI/CD, and clean code, • Collaborate with architects, analysts, and testers in Agile/BDD environments, • Take ownership of services in production, ensuring performance and reliability, • Drive continuous improvement across data platform capabilities, • Contribute to solution design, estimation, and delivery planning Required Experience • Strong production Java experience, • Experience with Kafka, Kinesis, or similar streaming technologies, • Hands-on experience with Spark, Flink, Kafka Streams, or similar, • Experience with Spring Boot and/or Python, • Strong experience with AWS (including Lambda and S3), • Experience integrating with PostgreSQL, Redis, or similar, • Solid understanding of data pipelines and data modelling, • Passion for clean, testable, and maintainable code, • Experience working in Agile and/or DevOps environments Desirable Skills • Experience with Elasticsearch, OpenSearch, or Solr, • Familiarity with Terraform, Ansible, or Packer, • Experience with CI/CD tools such as Jenkins or Drone If you are interested, please apply or get in touch to discuss further.

Cloud Platform Engineer Location: London (Hybrid) Salary: £65,000 – £75,000 20% Employer Pension Contribution I’m working with a well known public sector organisation to hire a Cloud Platform Engineer to play a key role in building and maintaining their Azure cloud infrastructure. This position will focus on infrastructure as code, automation, and platform reliability, working closely with development and DevOps teams to deliver scalable, secure, and high-performing cloud environments. What you’ll be doing: • Designing and managing Azure cloud infrastructure using IaC (Terraform), • Building and maintaining CI/CD pipelines for infrastructure and applications, • Monitoring systems, troubleshooting issues, and improving reliability, • Implementing security, compliance, and governance best practices, • Supporting incident management and root cause analysis, • Collaborating with engineering teams to embed DevOps practices The Cloud Platform Engineer will have: • Strong experience with Azure cloud services, • Proven experience with Infrastructure as Code (Terraform), • Experience with CI/CD tools (Azure DevOps, GitHub Actions, etc.), • Scripting skills (PowerShell, Bash, or Python), • Knowledge of containers (Docker, Kubernetes), • Understanding of cloud security, networking, and monitoring tools

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.

Contract Machine Learning Engineer Duration: Initially 3 months Day rate: £500, Inside IR35 Workplace: Remote, with occasional travel to client-site Inara are supporting a consultancy-led team delivering production-grade machine learning platforms for a range of end clients, and they’re looking for a senior, hands-on Contract ML Engineer to help take ML systems from experimentation into reliable, scalable production. This role is firmly focused on ML enablement and platform engineering rather than model research. You’ll be the person ensuring models can be trained, tracked, deployed, governed, and monitored properly in real-world environments. What you’ll be doing • Designing and building end-to-end MLOps platforms that support the full ML lifecycle, • Implementing and operating MLflow for experiment tracking, model registry, and versioning, • Enabling production deployments of ML models (batch and/or real-time), • Putting robust CI/CD pipelines in place for ML workflows, • Partnering closely with Data Scientists to move models from notebooks into production, • Establishing best practices around model governance, monitoring, retraining, and environments, • Integrating ML platforms with Databricks and cloud-native services What we’re looking for • Strong, real-world MLOps experience (this is not a theoretical role), • Deep hands-on MLflow experience — this is essential, • Proven track record of productionising ML models across multiple client or project environments, • Background in one or more of:, • MLOps / ML Engineering, • DevOps with ML platforms, • Data Science with a strong production focus, • Experience designing, supporting, and operating ML systems in production Technical environment (experience expected across most of these) • Python (expert-level), • Databricks, • Cloud platforms (AWS preferred; SageMaker exposure a bonus), • CI/CD for ML workloads, • Docker and Kubernetes, • Infrastructure as Code (Terraform or similar)

Staff Machine Learning Engineer – | 3 Roles | UK Remote I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. All three roles sit on the same product, the same stack, and the same mission. The difference is your specialism. ────────────────────────── 𝟭. Staff SE – Agentic AI Leading the design of multi-agent systems and LLM orchestration patterns. If you've built and shipped complex agentic workflows end-to-end, this one's for you. ▸ LangGraph · Pydantic AI · Agent SDK · LLMOps 𝟮. Staff SE – Information Extraction Owning ML models and pipelines that extract structured knowledge from complex, unstructured documents at scale. ▸ NLP · Document AI · Data Pipelines · Evals 𝟯. Staff SE – MLOps / DevOps for AI Shaping the infrastructure behind model serving, training pipelines, LLMOps, and AgentOps across the full AI stack. ▸ MLFlow · Databricks · Datadog · Terraform ────────────────────────── What all three roles require: • 7+ years in AI/ML engineering, shipping models in production, • 3+ years in a Staff-level or senior technical leadership role, • Hands-on AWS (Bedrock, SageMaker) and/or GCP Vertex AI, • Strong Python; Java or Rust a bonus, • Experience with LLMs, evaluation frameworks, and agentic AI patterns, • Docker, K8s, Terraform, CI/CD, • A collaborative leadership style — mentoring engineers, shaping best practices ────────────────────────── Core stack: Python · Rust · Java · Amazon Bedrock · SageMaker · Vertex AI · LangGraph · Pydantic AI · LangFuse · MLFlow · Databricks · Datadog · Claude Code · Docker · K8s · Terraform · Vector DBs · Graph DBs ────────────────────────── UK Remote Competitive Salary and benefits Not eligible for visa sponsorship ────────────────────────── Interested? Please apply, or know someone who might be? Drop me a DM • Seniority Level, • Not Applicable, • Industry, • Software Development, • Employment Type, • Full-time, • Job Functions, • Engineering, • Skills, • Artificial Intelligence (AI), • Large Language Models (LLM), • Machine Learning, • Technical Leadership, • Multi-agent Systems, • AWS SageMaker, • Amazon Web Services (AWS), • Python (Programming Language), • LangGraph, • Amazon

About the role: This is an exciting opportunity for a forward-thinking and innovative cloud engineering lead to join ROCK. The Principal Cloud & AI Engineer is a highly technical, hands-on role that provides both deep engineering expertise and architectural guidance as we embark on scaling our AWS and Azure services portfolio. The role requires leadership qualities to be able to coordinate and mentor engineers and delivery partners within the team. This individual will be directly responsible for designing, building, and optimising scalable, secure, and resilient cloud solutions. The role also offers the successful candidate to take a leading role in the definition and implementation of tooling, CI/CD pipelines operational processes, automation, and security practices to ensure ROCK’s cloud deployments are robust, efficient, and financially well-managed. Alongside daily engineering responsibilities, the Principal Cloud Engineer will shape technical best practices, drive continuous improvement, and mentor engineers, fostering a culture focused on growth, learning, and innovation that supports ROCK’s ambition to become an AWS Premier Partner. The role is instrumental in building and scaling the professional services and the operational cloud team, supporting the evolution from a single customer pod model to multiple delivery teams. A flavour of what you will be doing: Technical Solution Leadership • Provide hands-on leadership in designing, prototyping, deploying scalable solutions and PoCs across AWS, and ideally Azure., • Lead modernisation and migration of complex workloads, particularly Windows environments, to modern cloud platforms., • Architect secure, scalable, and cost-optimised cloud-native environments aligned with well-architected principles., • Act as technical SME, supporting presales initiatives and aligning technical solutions with client business goals., • Serve as technical design authority for AWS, guiding team architectural standards and decision making., • Support the delivery of AI/ML and Gen AI proof of concepts, leveraging cloud-native services. Cloud Strategy, Automation & Governance • Develop and refine cloud landing zones, infrastructure-as-code, and automation strategies across cloud platforms., • Lead the design and standardisation of CI/CD pipelines and GitOps practices across teams., • Support the review of migration readiness and modernisation assessments, using frameworks such as 7Rs., • Standardise tooling, and governance to improve technical efficiency and consistency across teams., • Stay current with and integrate emerging technologies (AI, ML, serverless) to maintain technical edge. People Leadership & Team Development • Provide technical mentoring for cloud excellence, focusing on best practices, CI/CD and operational excellence., • Foster continuous learning through knowledge sharing, peer mentoring, and structured training., • Drive adoption of standardised operating procedures while encouraging innovation and improvement. What we need: • Proven experience in implementing and designing cloud solutions in AWS (currently holds or is willing to pass AWS Certified Solutions Architect Professional or DevOps Engineer Professional)., • Must have experience in Windows migration to AWS, Workspaces and monitoring and security services., • Extensive experience with landing zone development using Terraform IaC, CI/CD and git and GitOps., • Providing technical delivery experience and leadership through large complex projects and migrations., • Significant expertise in building AWS solutions, Azure experience, preferable but not essential., • Background in hybrid / on-premises integration (VMware, networking, storage), • Experience in supporting Cloud Operations / managed services., • Experience in delivering AI/ML and gen AI PoC’s advantageous. The ideal candidate: • Exemplary background in designing in AWS with AWS Pro certification. Azure certifications are also advantageous., • Continuous innovator, ability to support the success and implementation of new services and repeatable packaged solutions., • Strong leadership and communications skills with the ability to inspire., • Deep understanding of cloud operations frameworks, including well architected., • Exceptional communication skills for engaging both technical teams and non-technical stakeholders. This is an truly exciting opportunity as mentioned, to work across multiple projects and help define tooling as part of a fully remote and growing team. If interested, please apply or reach out to Jack directly!

📍 Remote | Full-time 👋 Overview We’re looking for a pragmatic Full Stack Engineer who can lead the evolution of our infrastructure while keeping systems simple, reliable, and maintainable. This is a remote role for someone who enjoys owning infrastructure decisions without stepping away from hands-on product development. Medify Engineering is a team of ten engineers across two teams, and everyone is hands on, including engineering management and the CTO, which helps us keep our processes practical and engineer-friendly. We work to minimise meetings: engineers typically have a 15-minute daily standup for in-progress updates and quick alignment with Product, plus (per two-week sprint) a one-hour refinement with Product, a one-hour planning session with engineering, and a 30-minute company-wide demo. Operational work like deployments, bug triage, and on-call is handled on a rotation, with each person covering one week roughly every two months. 🔧 The Role In your first few months, you’ll focus on migrating our production environment from Heroku to AWS. Specifically, you’ll take our nascent ECS Fargate and Aurora Serverless v2 setup and turn it into our primary production environment. This is not a greenfield project; the foundations are in place with Terraform, and your role is to take the migration across the finish line. Once the initial migration phase is complete, you'll transition back to feature development, while continuing to own infrastructure decisions and improvements as they come up. This isn't a pure infrastructure role - it's a full stack position where you happen to be the person who deeply understands how our systems run. 🚀 What You’ll Do • Lead the migration of our production environment from Heroku to AWS, • Mature and own our ECS Fargate and Aurora Serverless v2 infrastructure, • Extend and maintain our infrastructure-as-code setup using Terraform, • Balance infrastructure ownership with ongoing full stack feature development, • Make pragmatic architectural decisions that prioritise reliability and simplicity 🧠 What We Value We've been paged fewer than 10 times this year - mostly for third-party outages or job queues that self-recovered within minutes. We want to keep it that way. We're not interested in over-engineered solutions or astronaut architecture. We want infrastructure that works reliably, is easy to understand, and doesn't wake anyone up at 3am. Developer experience matters here. If something makes deploys faster, reduces cognitive load, or eliminates a whole class of problems, we're interested. If it's clever for clever's sake, we're not. 🧩 What We’re Looking For • Experience working with AWS and scaling production applications, • Hands-on experience with Terraform, or other infrastructure-as-code tools you can translate from, • Strong full stack fundamentals and a clear understanding of how applications work end-to-end, • A bias toward simple, maintainable, well-understood technologies, • An engineer who designs systems with reliability and on-call sustainability in mind 🎯 Why This Role Works You’ll own a meaningful infrastructure migration, make architectural decisions that impact the whole team, and then return to varied and engaging product work - without being locked into an infrastructure-only silo. 🎁 What We Offer • Competitive salary: £70,000–£85,000, depending on experience, • Fully remote role with flexible working hours, • 25 days’ annual leave, rising to 28 days over three years, • Pension scheme, • Professional development sponsorship (courses, conferences, learning budget), • Matched charity funding, • Private health and dental care after one year of employment

Code Wizards Group is a world leader in backend and multiplayer infrastructure for the gaming industry. From high-scale AAA console and PC games to fast-paced mobile indie titles, we empower studios to bring multiplayer experiences to life. Within the Group lie Multiplayer Wizards, whose sole responsibility is to help game studios to run and operate their game infrastructure seamlessly for the players. We're on the search for some Contract DevOps Engineering talent to join the team working on some specific game migration work. Are you a highly productive DevOps Engineer, looking to use your wealth of games industry knowledge and your technical DevOps skills to help keep games online and running, whatever challenges are thrown at you? In this role, you will use your skills to help educate others in the team and act as an escalation point for head-scratching problems. Incidents are no problem, and you are happy to pick up and run with an outage, working with internal teams and the customer to keep the game infrastructure online. DUTIES AND RESPONSIBILITIES • Diagnosing and performing root cause analysis on customer infrastructure, including in incident scenarios, • Proactively identify and raise methods of improving team efficiency and procedures to improve support to the customer, • Assisting with escalated issues and navigating scenarios across multiple teams, • Writing clean, scalable, and performant scripts & code, • Forming part of a regular on-call rotation supporting our customers and internal teams SKILLS AND EXPERIENCE • Experience working in the gaming industry having migrated a live service game in production., • Knowledge of backend systems for online games and ideally exposure to game engines, Unity, Unreal etc., • An excitement to expand your knowledge on unfamiliar infrastructure and tools, • Automation knowledge on a wide variety of tools – Ansible, Terraform, Grafana, and Kubernetes, etc., • Prior experience migrating a game from one Cloud provider onto AWS, • Excellent knowledge of containers, virtual machines and Linux server administration, • Demonstrable experience in programming or personal code-based projects. Please note, initially, we will be looking at people with knowledge of the Games Industry. Code Wizards Group is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Key Responsibilities: * Design our scalable, secure and cost-effective cloud hybrid data solution aligned with Omnia enterprise architecture and Army training objectives. * Design innovative data models and metadata systems to interpret and enhance business needs, promoting data as a strategic asset. * Develop transitional data architectures and road maps in alignment with Omnia digital transformation objectives, enabling the evolution of integrated training solutions. * Collaborate with cross-functional teams and partners to ensure data architectural integrity and alignment. * Translate complex technical concepts for a non-technical audience, fostering understanding and buy-in from stakeholders. * Support horizon scanning to identify and assess emerging technologies and determine their potential impact on leveraging data analytics to improve training delivery. * Membership and contribution to the Omnia Architecture Board(s) to review, define, refine and uphold data architectural principles, policies, and standards across Omnia Training. * Work with engineering teams to support and guide the implementation of a variety of solutions across multiple domains, in an agile environment. * Manage and lead prototyping and research activity as required to realise the best solutions. * Provide oversight and advice to engineers undertaking the design of data models and support the management of data dictionaries. * Ensure the security and compliance of data environments through the implementation of appropriate architecture principles, security controls and governance frameworks. * Author, review and contribute to technical documentation. * Produce High- and low-level design artifacts for data storage, processing, and retrieval systems. * Stay current with data technologies, making recommendations for use based on business value. Drive the adoption of these technologies. * Serve as the Subject Matter Expert (SME) for the Omnia Data Lakehouse, providing strategic guidance, technical oversight, and deep expertise in its architecture, implementation, and optimisation. Who we are looking for: The Data Architect will provide strategic and practical leadership across the data architecture landscape of the Army Collective Training Service (ACTS). This role is pivotal in shaping and governing the enterprise data architecture to ensure it aligns with the ACTS vision and supports data as a mission-critical asset. Working closely with the Data Lead, Enterprise Architect and Chief Engineer, you will design, evolve, and maintain a secure, scalable, and interoperable data architecture, leveraging cloud services from AWS, Azure, and OCP where appropriate. This role requires a systems-thinking mindset, strong stakeholder engagement skills, and the ability to work across engineering teams in a complex and evolving environment. Essential Skills and Experience: * Proven experience designing and implementing scalable, secure, and interoperable data architectures in complex environments with cloud platforms (AWS, Azure, GCP, OCI) and cloud-native data services including use of services like S3, Lambda, Glue, Data Factory, etc. * Experience designing and supporting implementation of large-scale data pipelines, data warehousing and Lakehouse technologies. * Strong skills in conceptual, logical, and physical data modelling using tools like ER/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. * Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). * Experience with API management and gateway tools and services. * Experience of RESTful APIs for ingesting and exposing data. * Proven track record with data governance, quality, lineage, and security practices. * Experience with real-time/streaming data technologies, data Ingestion / ETL (e.g., Apache Kafka, Apache NiFi, Kinesis, Pub/Sub). * Experience in, or knowledge of, DevSecOps Tooling and Processes. * Self-starter with the ability to appropriately prioritise and plan complex work in a rapidly changing environment. * Strong critical thinker with problem solving aptitude. * A working knowledge of MoD or Government IT Security environments and requirements at various classifications. Desirable Skills and Experience: * Hands-on experience with containerisation and orchestration (Docker, Kubernetes, Red Hat OpenShift). * Exposure to infrastructure-as-code tools (Terraform, CloudFormation). * Experience with BI/visualisation tools (e.g., Tableau, Power BI, Looker, Elastic Stack). * Knowledge of compliance frameworks (GDPR, HIPAA, CCPA) and their impact on data systems. * Relevant Data and Architecture certification such as TOGAF, MODAF, AWS/Azure Certified Data Architect or Solutions Architect, DAMA Certified Data Management Professional (CDMP) JBRP1_UKTJ

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

DevOps Engineer Location: Remote Role Overview Reporting to the Web Architect, the DevOps Engineer will play a key role in designing and implementing the technical backbone of the digital platforms. This role is crucial to supporting the “digital first” strategy with solutions that are flexible, scalable, and reliable. The DevOps Engineer will work closely with internal IT teams at all levels, requiring clear communication with colleagues of varying technical expertise. You will help guide the business through technical changes, documenting processes, and ensuring seamless integration of new solutions. This role demands a balance of technical expertise, stakeholder management, and a people-focused mindset to deliver high-quality solutions and support the company’s strategic objectives. Key Responsibilities • Define web platform architecture aligned with the business goals., • Work with Security and Infrastructure teams to ensure platforms are secure, compatible, and optimised., • Conduct design reviews to simplify and modernise web platform infrastructure., • Support the delivery of innovative digital solutions., • Maintain awareness of DevOps best practices and industry trends., • Perform other duties as required, aligned with the scope of the role., • Demonstrate professionalism in interactions with business teams and third parties., • Respond promptly and appropriately to requests from management or the business., • Shape and nurture a positive technical culture within the team., • Collaborate with cross-functional teams to deliver user-focused experiences., • Communicate effectively with both technical and non-technical stakeholders., • Engage stakeholders to guide digital solution decisions and explain IT/web concepts clearly., • Foster collaboration and strong business partnerships within the team and across the organisation., • Support team members and contribute to overall team success., • Identify training needs and support upskilling within the team., • Act responsibly and professionally at all times. Essential Knowledge, Skills & Experience • Strong understanding of infrastructure architectures and cloud platforms (Microsoft Azure)., • Experience with Infrastructure as Code tools such as Bicep or Terraform., • Knowledge of Agile development principles., • Awareness of architectural impacts on performance and security., • Strong technical documentation, problem-solving, and critical thinking skills., • Excellent interpersonal and time management skills., • Ownership mentality and pride in delivering high-quality solutions. Experience • 3–5+ years as a DevOps Engineer with a solid understanding of DevOps principles., • Hands-on experience deploying to Azure using Terraform or Bicep., • Implementing network and security best practices., • Working with patterns such as Headless, Microservices, and Event-Driven Architecture., • Degree in Computer Science, IT, or a related field.

Snr Software Engineering role • Paying between £80-100k, with a 10% bonus (performance related), • Remote but occasional offsites in LDN/worldwide A SaaS platform that provides businesses and researchers with high-quality, vetted human data for studies, surveys, and AI research are looking for 2 excellent Product Engineers. The stack is Python/JavaScript focused, but the crux of what they want are engineers who can build product from scratch, with a real understanding of how to optimize workflows. If you have a real focus on delivery and take full agency across the entire system, then this role would be perfect for you. A good example given is if you notice an issue in there stack, they want an engineer pragmatic and experienced enough to fix that problem, and engineers who are proactive problem solvers. This role is remote with occasional offsites, a brilliant benefits package and you will be working in a business acknowledged for being one of the best places in the UK for Engineers to learn and grow. Essential Skills: • Python, • JavaScript/Typescript. They use Vue.js but are open to any React.js engineers, • AWS/GCP, • MongoDB, • DynamoDB Nice to haves: • Experience building a product from scratch, • Kubernetes/Terraform experience, • Architecture background

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.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

Iron Mountain is seeking a skilled and motivated DevOps Engineer to join our global information management team in UK (100% remote). In this role, you will be responsible for providing critical technical support for applications and hardware, managing our observability strategy, and ensuring the global delivery and performance of our services. You will collaborate closely with network services, software engineering, and development teams to maintain a highly reliable and scalable environment. What You'll Do (Responsibilities) In this role, you will: • Design and Automate Infrastructure: Build and maintain cloud infrastructure on AWS, GCP, or Azure, utilizing tools like Terraform, Ansible, or CloudFormation to automate provisioning., • Optimize CI/CD Pipelines: Develop and manage continuous integration and deployment pipelines using Jenkins, GitLab, or ArgoCD to streamline software delivery., • Enhance Observability: Implement monitoring and logging systems (Prometheus, Grafana, Datadog) to define alerts, dashboards, and log-based metrics that improve application availability., • Lead Incident Management: Respond to real-time outages, perform root cause analysis, and participate in on-call rotations to ensure rapid service restoration., • Ensure Application Sustainment: Oversee the full lifecycle of critical applications, including upgrades, patching, and scaling services to meet global demand while maintaining strict SLOs., • Drive Reliability and Security: Implement self-healing systems, disaster recovery strategies, and security best practices, including regular vulnerability patching and audits. What You'll Bring (Skills & Qualifications) Specific requirements: • Must have UK passport, be UK based for more than five consecutive years and able to obtain Security Clearance The ideal candidate will have: • Previous experience as DevOps Engineer with focus on SRE Engineer., • Strong technical expertise in managed Kubernetes services and cloud networking concepts (VPC, DNS, Load Balancers, and TCP/IP)., • Proven ability in complex troubleshooting using debugging tools like tcpdump or strace and log aggregation tools like the ELK stack or Splunk., • Software Development skills in Python, Java, or .Net, along with experience developing scalable microservices and REST APIs., • A Bachelor's Degree in Computer Science, Engineering, or a related field., • Preferred Certifications: Scrum Master, PMP, or Agile SAFe certification. What We Offer (Benefits): • Location: England (100% remote)., • Competitive Compensation: Salary and benefits aligned with your professional experience., • Work-Life Balance: Flexible work options and alternative arrangements to support your personal needs., • Health & Wellness: Comprehensive health, wellness, and retirement plans., • Growth Opportunities: Access to continuous learning and professional development to accelerate your career. Ready to join the team? Apply Today! Do not miss the chance to join a global leader in storage and information management services.

Site Reliability Engineer (Security Cleared) • Salary to £60k + Company Options Scheme Overview This company is a Workflow & AI Orchestration Specialist. They're on a mission to modernise how public sector organisations manage casework, derive insight from data and deliver citizen services. Theyre growing fast and looking for bright, dynamic people to help build their business. Role Theyre looking for a (Security Cleared) Site Reliability Engineer (SRE) to join their growing platform and delivery teams. Youll help design, build, and operate reliable, secure, and performant infrastructure that underpins critical public-sector services. Youll combine your background in DevOps, cloud engineering, and automation with a focus on reliability, observability, and scalability. Youll also work with event-driven technologies, identity and access management, and data platforms, ensuring our orchestration solutions are resilient, secure, and future-ready. This is an exciting opportunity for an engineer who thrives on solving complex infrastructure and automation challenges, automating everything, and shaping secure-by-design delivery environments. Key Responsibilities Design, deploy, and manage containerized workloads using Kubernetes and Red Hat OpenShift Provision and manage infrastructure using Terraform Build and operate scalable infrastructure in Amazon Web Services (AWS) Design, implement, and maintain robust CI/CD pipelines Improve system reliability, observability, performance, and security Implement monitoring, logging, and alerting solutions Troubleshoot production incidents and perform root cause analysis Collaborate with development teams to improve application resilience and deployment processes Required Skills & Experience Experience in Site Reliability Engineering, DevOps, or similar roles Strong hands-on experience with Kubernetes and container orchestration Experience working with Red Hat OpenShift in production environments Proficiency in infrastructure as code using Terraform Solid experience with Amazon Web Services (AWS) Experience designing and maintaining CI/CD pipelines NB: Please only apply if you already have UK Security Clearance (SC). Other Stuff NB: for non-UK Citizens; we cannot accept applications from anyone requiring sponsorship (now or in the future) for UK permanent employment you are utilising a work visa this must allow you to work in the UK unrestricted for at least the next 5 years. Profile 29 recruitment keywords: Site Reliability Engineer Site Reliability Engineering, DevOps Kubernetes container orchestration Red Hat OpenShift Terraform Amazon Web Services AWS CI/CD Bash Python monitoring observability cloud architecture London hybrid remote AI artificial intelligence security cleared security clearance SC JBRP1_UKTJ

DevOps Engineer - Azure, Terraform, Kubernetes - £90K. The team are very agile and work in a continuous deployment environment to support live trading applications and drive solutions that are reusable, scalable and driven by infrastructure as code (IaC) and automation using Terraform. Terraform ex

Role/Job title: AVD engineer with TerraformWork Location: Primary location Wokingham. The RoleAn Azure Virtual Desktop (AVD) Engineer with Terraform expertise designs, automates, and manages secure VDI environments using Infrastructure as Code (IaC).

A leading data consultancy in Greater London is looking for a Lead Data Platform Engineer.You will design and develop secure, scalable data platforms while ensuring compliance and efficiency.The ideal candidate will have strong skills in Azure services, Databricks, and CI/CD practices.You will be re

This role involves designing and operating cloud systems using Terraform, supporting automated deployments via GitHub Actions, and enhancing system performance through monitoring and containerization.

A globally renowned media company is seeking a Senior Software Engineer to join their Data Platform team in London.The role involves designing scalable infrastructure and APIs in a cloud-first environment.You will contribute to the development of internal platforms and mentor fellow engineers.Ideal

Candidates will focus on building a fully automated and reliable ecosystem utilizing tools like AWS, Terraform, GitLab, and Python.

The ideal candidate will have a strong background in Kubernetes and Terraform, solid coding abilities in languages such as Python or Go, and consulting experience.

Responsibilities include overseeing IaC implementations with Terraform and ensuring compliance with OWASP principles.

Responsibilities include curating GCP infrastructure through Terraform, building automation for product cataloguing, and resolving platform incidents.

Join an innovative technology consultancy as a DevOps Engineer, where you'll design and manage cloud infrastructure on AWS, automate processes with Python, and collaborate with a dynamic team.This role offers the chance to work in a flexible environment that prioritizes personal growth and experimen

The successful candidate must have SC clearance and demonstrate strong skills in Azure, Terraform, and GitHub Actions.

An innovative PropTech firm in London is seeking a Senior DevOps Engineer to take ownership of their AWS infrastructure.The role involves building and maintaining CI/CD pipelines, implementing security standards like ISO 27001, and acting as the sole DevOps expert in a dynamic startup environment.Th

The role involves building and maintaining CI/CD pipelines, designing scalable infrastructure, and operating in a production environment utilizing Azure, Terraform, GitOps, and Kubernetes.

The role requires proven software development and systems engineering experience, with strong AWS and Terraform knowledge.

Ideal candidates should have extensive experience with Entra ID, Terraform, Ansible, and a proven track record in leading identity and infrastructure strategies.

Developing and deploying via Infrastructure-as-Code, with proficiency in Terraform, YAML and ARM templates.

This position entails designing cloud-native applications and optimizing CI/CD pipelines using Python, AWS, and Terraform.

A leading software company is seeking an AWS Engineer to join their DevOps team remotely from the UK.This role offers the chance to work with cutting-edge technology and be part of a collaborative environment.The ideal candidate should have strong knowledge of AWS, experience with Kafka and Python,

Ideal candidates will have expertise in AWS, Cloud Formation or Terraform, and Packer, along with experience in agile environments.

Ideal candidates have strong DevOps experience with AWS, Docker, Kubernetes, and Terraform.

The ideal candidate will have extensive experience with AWS, Terraform, and CI/CD.