28 jobs found

Lead Platform Engineer Lead Platform Engineer - Lonon / Hybrid Salary up to £110,000 + excellent benefits SC cleared or SC eligible candidates required Work on large scale cloud platforms supporting critical UK public sector services ABOUT THE CLIENT Our client is a global technology consultancy delivering secure digital transformation programmes across the UK public sector. Their engineering teams design and operate modern cloud platforms that power critical government services used by millions of citizens every day. Due to continued growth across multiple national programmes, they are looking to hire experienced Lead Platform Engineers to join their expanding engineering capability. THE BENEFITS Salary up to £105,000 plus benefits Flexible model with office and client travel Clear technical career progression and leadership pathways Access to industry recognised certifications and training Opportunity to work on large scale national digital transformation programmes Strong engineering culture with knowledge sharing and collaboration Flexible benefits package and wellbeing support THE LEAD PLATFORM ENGINEER ROLE As a Lead Platform Engineer, you will work within agile engineering teams designing and building secure, scalable cloud platforms for major UK public sector organisations. You will help deliver enterprise scale infrastructure platforms that enable development teams to build and deploy secure digital services. Typical responsibilities include: Designing and improving cloud infrastructure platforms Building Infrastructure as Code using Terraform Supporting container platforms using Kubernetes and Docker Developing CI/CD pipelines to automate delivery and deployment Improving platform monitoring, reliability and observability Providing technical leadership and mentoring engineers across delivery teams LEAD PLATFORM ENGINEER ESSENTIAL SKILLS Strong AWS cloud platform engineering experience Infrastructure as Code experience using Terraform Container technologies such as Kubernetes and Docker Strong Linux engineering and scripting experience Experience building CI/CD pipelines using Jenkins, GitLab or similar tools Experience supporting large scale production cloud platforms Ability to provide technical leadership within engineering teams Candidates must be SC cleared or eligible to obtain SC clearance. TO BE CONSIDERED Please either apply through this advert or emailing me directly via . For further information please call me: / . By applying for this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only. KEY SKILLS Lead Platform Engineer, Senior Platform Engineer, DevOps Engineer, Site Reliability Engineer, AWS, Terraform, Kubernetes, Docker, Linux, CI/CD, Cloud Engineering, Infrastructure as Code, NSD

Senior AI Developer - Generative & Agentic AI We are partnering with a global technology consultancy delivering next-generation engineering solutions across digital transformation, cloud, automation, integration, low-code, and AI application development. With an international presence and enterprise-scale clients, the business helps organisations modernise operations and accelerate innovation through digital-first technology solutions. The Role An exciting opportunity has arisen for an experienced AI Developer to help build core services, features, and capabilities for an enterprise-grade Generative & Agentic AI platform within a large-scale, regulated environment. This role combines strong software engineering expertise with DevOps capability and hands-on experience integrating Large Language Models (LLMs) into secure, scalable enterprise systems. You'll work closely with architects, platform engineers, and product teams to operationalise AI services and contribute to the evolution of modern AI engineering practices. Key Responsibilities Develop and optimise Python-based AI components, including prompt orchestration, output validation, and evaluation tooling. Work with Generative and Agentic AI patterns, including LLM integration, RAG architectures, prompt-driven workflows, and AI service orchestration. Integrate AI capabilities with enterprise systems, observability tooling, and security frameworks. Design and maintain CI/CD pipelines within cloud-native engineering environments. Support benchmarking, evaluation, experimentation, and cost optimisation for LLM workloads. Contribute to scalable RAG implementations and enterprise data access patterns. Help define reusable APIs, engineering standards, and platform documentation. Troubleshoot and optimise distributed systems and cloud-based services. Collaborate across engineering, platform, architecture, and product teams to deliver reliable AI services. Required Skills & Experience Strong commercial Python engineering experience, including FastAPI. Strong Java development experience within production environments. Hands-on experience with Generative AI, Agentic AI, and Large Language Models. Experience evaluating LLM performance and handling prompt engineering complexities. Strong DevOps and CI/CD experience with a focus on automation and observability. Experience working within regulated or security-conscious enterprise environments. Knowledge of authentication, secrets management, network security, and model governance. Experience developing and deploying AWS services, including: EC2 EKS S3 SQS DynamoDB Bedrock AgentCore Desirable Skills Experience with Kong API Gateway, Kong Mesh, and Flux CD. RESTful API and microservices development. Terraform and GitOps workflows. Exposure to prompt evaluation, observability, or AI red-teaming tools. SQL and NoSQL database experience. Understanding of vector search technologies and Retrieval-Augmented Generation (RAG) patterns. About You A proactive self-starter who takes ownership and drives solutions independently. Comfortable operating in fast-evolving technical environments where best practice is still emerging. Strong communicator able to collaborate across engineering, data, and product functions. Naturally curious about emerging AI technologies and how they can be applied securely and effectively. Passionate about automation, scalability, and continuous improvement.

Senior QA Automation / SDET Engineer (SC + NPPV3 Cleared) Birmingham 6 Month Contract £400-£450/day (Outside IR35) Hands on Senior QA Automation Engineer / SDET (Software Development Engineer in Test) engineer needed with both SC and NPPV3 Security Clearance , plus strong hands-on experience with JUnit, Cucumber, and Selenium WebDriver . 6 Month Rolling Contract based in Birmingham . Start ASAP in May/June 2026. Hybrid Working 3 days/week remote (WFH) + 2 days/week working from the office in Birmingham with occasional travel to Croydon . A chance to work with a leading global IT transformation business specialising in large-scale Government projects: Key skills, experience + duties to include: Extensive hands-on experience with JUnit, Cucumber, and Selenium WebDriver within complex enterprise environments. Strong understanding of Spring applications , microservices, and distributed architectures. Good understanding in PostgreSQL , including query optimisation, performance tuning, and data validation. Experience using WireMock for service virtualisation and integration isolation. Strong expertise in Performance, Load , and Stress testing using JMeter . Proven experience leading testing activities within Agile delivery teams. Strong understanding of CI/CD pipelines and tooling such as Jenkins, GitHub Actions, and GitLab CI. Ability to analyse complex systems, identify risks, and design effective test strategies. Experience with Git , Jira, Confluence , and related engineering tools. Desirable Skills: Testing microservices at scale, including contract testing approaches. containerisation (Docker, Kubernetes) and cloud platforms (AWS, Azure, GCP). Understanding of BDD/TDD practices and quality driven engineering.Monitoring and observability tools (Grafana, Prometheus, ELK). Excellent communication and stakeholder management skills, with the ability to collaborate effectively across technical and non-technical teams.

Pontoon is an employment consultancy. We put expertise, energy, and enthusiasm into improving everyone's chance of being part of the workplace. We respect and appreciate people of all ethnicities, generations, religious beliefs, sexual orientations, gender identities, and more. We do this by showcasing their talents, skills, and unique experience in an inclusive environment that helps them thrive. Join Our Team as a Senior Data Engineer! Are you a passionate Data Engineer with a flair for innovation? Do you thrive in a dynamic environment where your skills can shape the future of data architecture? If so, we have the perfect opportunity for you! Our client, a leader in the Utilities sector, is seeking a Senior Data Engineer for a temporary role of 3 months. Role: Senior Data Engineer Duration: 3 Months (extension options) Location: Warwick (Hybrid - 1 day on site) Rate: 500- 550 per day (umbrella) Role Overview: As a Senior Data Engineer, you will play a pivotal role in enhancing the Interconnectors Data Platform (ICDP), a cloud-based data warehouse essential for commercial, financial modeling, and operational decision-making. With the platform evolving towards a modernized Medallion Architecture and Azure-native ingestion patterns, your expertise will drive architectural direction and technical leadership. Key Responsibilities: Data Architecture & Platform Engineering: Lead the design and implementation of scalable data architectures using Bronze/Silver/Gold layered models. Shape the platform's architectural roadmap, ensuring alignment with cutting-edge engineering practices. Develop secure and observable ingestion and transformation pipelines. Pipeline Development & Operations: Spearhead the migration from legacy ETL tools to modern Azure-based pipelines, using Azure Functions, Azure Data Factory (ADF), and event-driven frameworks. Build and maintain high-performance SQL transformations, curated layers, and reusable data models. Embed CI/CD, testing, version control, and observability into workflows. Data Quality & Governance: Ensure robust data validation, reconciliation, profiling, and auditability across platform layers. Collaborate with business stakeholders to guarantee analytical and operational needs are met. Leadership: Mentor fellow data engineers, fostering technical growth within the ICDP team. Collaborate with Product teams, IT&D, and external partners to achieve high-quality outcomes. Serve as a technical authority on engineering approaches, patterns, and standards. Required Skills & Experience: Essential Technical Skills: Python: Strong hands-on experience in building production-grade data pipelines and orchestration. Advanced SQL: Expert-level skills in analytical SQL, query optimization, and data modeling. Azure Cloud: Familiarity with Azure Functions, Azure Data Factory, Azure Storage, and cloud security fundamentals. Data Warehousing: In-depth understanding of data architecture principles and scalable enterprise data design. Version Control: Proficient in Git, CI/CD, automated testing, and modern engineering practices. Pipeline Design: Experience with API ingestion, SFTP ingestion, and resilient pipeline design. Soft Skills: Exceptional problem-solving and architectural thinking abilities. Strong communication and stakeholder collaboration skills. Capability to lead and provide clarity in complex technical environments. Desirable Experience: Involvement in data-platform re-architecture programs. Exposure to Medallion/Lakehouse patterns or Databricks-style ecosystems. Experience in regulated or high-assurance data environments. Why Join Us? This is your chance to be part of a transformative journey in the Utilities industry! Not only will you be enhancing your skills, but you will also contribute to a vital platform that impacts decision-making at every level. If you're ready to take on this exciting challenge and make a significant impact, we want to hear from you! Apply now and become a key player in our client's innovative team! Candidates will ideally show evidence of the above in their CV to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly. We use generative AI tools to support our candidate screening process. This helps us ensure a fair, consistent, and efficient experience for all applicants. Rest assured, all final decisions are made by our hiring team, and your application will be reviewed with care and attention.

Senior Platform Engineer Location: Remote (Occasional travel to their London office) Contract: Inside IR35 Day rate: Up to £800 per day Duration: 6 months Start date: ASAP Key words: Azure, Terraform, containerization, CI/CD As part of our Client's AI Engineering team, you will own the infrastructure and delivery pipelines that keep our AI-driven products reliable, scalable, and fast. You will design and maintain the cloud environments, CI/CD workflows, and observability systems that enable our engineers to ship with confidence. Key Skills: - Strong experience with Azure cloud services (compute, networking, storage, identity) - Proficiency with Infrastructure as Code (Terraform) - Solid experience building and maintaining CI/CD pipelines (GitHub Actions) - Hands-on experience with container orchestration (Kubernetes, Docker) - Proficiency in scripting and automation (Python, Bash, or similar) - Understanding of networking fundamentals, security best practices, and secrets management - Experience with monitoring and observability tools (e.g. Prometheus, Grafana, Elastic stack) Assignment Objectives - Implement or improve model monitoring and operational controls for AI/ML systems. - Build and maintain robust ML pipelines for training, deployment, and monitoring - Develop backend systems and APIs that integrate AI into our SaaS platform - Take ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output and AI incident playbooks with clear ownership and evidence. - Align MLOps processes with data governance, AppSec, logging, monitoring and enterprise GRC expectations. - Support AI-specific control closure across NIST-style controls, SOC 2, ISO 27001 and enterprise GRC contexts. - Create repeatable evidence for monitoring, alerting, response, review and BAU handover. - Ensure MLOps controls are sustainable after the remediation programme closes.

AWS Cloud Native DevOps Engineer Consultant / Senior Consultant Salary: 65,000 - 75,000 pa plus benefits, pension and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Bristol Security Clearance: Candidates must hold active SC clearance Overview: We're looking for AWS Cloud Native DevOps Engineers who are passionate about building secure, scalable, and highly available cloud platforms. You'll work on mission-critical programmes, helping organisations modernise their cloud infrastructure through automation, cloud-native technologies, and DevOps best practices. This is an opportunity to work within high-performing engineering teams delivering secure AWS solutions in complex environments where reliability, security, and performance are essential. About The Role: Design, build, and manage secure, scalable AWS cloud environments. Develop Infrastructure as Code using Terraform, CloudFormation, or similar tools. Build and maintain CI/CD pipelines to support efficient software delivery. Implement monitoring, logging, and observability solutions. Collaborate with Agile teams, architects, engineers, and stakeholders. Automate infrastructure and operational processes through scripting. Troubleshoot and optimise cloud infrastructure and deployments. Apply cloud security best practices, including Zero Trust principles. Continuously learn and adopt emerging cloud and DevOps technologies. Your Skills and Experience: Strong experience deploying and managing AWS infrastructure within secure or regulated environments. Proven experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi. Hands-on experience building and maintaining CI/CD pipelines using tools such as GitLab CI, Jenkins, GitHub Actions, or ArgoCD. Experience with containerisation and orchestration technologies including Docker and Kubernetes. Strong scripting and automation skills using Python, Bash, or PowerShell. Solid understanding of AWS networking concepts including VPCs, subnets, routing, load balancing, and security groups. Experience with monitoring and logging platforms such as Prometheus, Grafana, ELK Stack, or AWS CloudWatch. Knowledge of cloud security best practices and Zero Trust security models. Strong troubleshooting and problem-solving skills across cloud and platform technologies. Experience working within Agile delivery environments. To be successfully appointed to this role, it is a requirement to hold active Security Check (SC) clearance. If you're ready to take the next step in your career, we want to hear from you! Please send your updated CV

AWS Cloud Native DevOps Engineer Consultant / Senior Consultant Salary: 65,000 - 75,000 pa plus benefits, pension and healthcare options Job Type: Permanent - Hybrid / 2 x days per week - Travel to client site Base Locations: London, Manchester, Bristol Security Clearance: Candidates must hold active SC clearance Overview: We're looking for AWS Cloud Native DevOps Engineers who are passionate about building secure, scalable, and highly available cloud platforms. You'll work on mission-critical programmes, helping organisations modernise their cloud infrastructure through automation, cloud-native technologies, and DevOps best practices. This is an opportunity to work within high-performing engineering teams delivering secure AWS solutions in complex environments where reliability, security, and performance are essential. About The Role: Design, build, and manage secure, scalable AWS cloud environments. Develop Infrastructure as Code using Terraform, CloudFormation, or similar tools. Build and maintain CI/CD pipelines to support efficient software delivery. Implement monitoring, logging, and observability solutions. Collaborate with Agile teams, architects, engineers, and stakeholders. Automate infrastructure and operational processes through scripting. Troubleshoot and optimise cloud infrastructure and deployments. Apply cloud security best practices, including Zero Trust principles. Continuously learn and adopt emerging cloud and DevOps technologies. Your Skills and Experience: Strong experience deploying and managing AWS infrastructure within secure or regulated environments. Proven experience with Infrastructure as Code (IaC) using Terraform, CloudFormation, or Pulumi. Hands-on experience building and maintaining CI/CD pipelines using tools such as GitLab CI, Jenkins, GitHub Actions, or ArgoCD. Experience with containerisation and orchestration technologies including Docker and Kubernetes. Strong scripting and automation skills using Python, Bash, or PowerShell. Solid understanding of AWS networking concepts including VPCs, subnets, routing, load balancing, and security groups. Experience with monitoring and logging platforms such as Prometheus, Grafana, ELK Stack, or AWS CloudWatch. Knowledge of cloud security best practices and Zero Trust security models. Strong troubleshooting and problem-solving skills across cloud and platform technologies. Experience working within Agile delivery environments. To be successfully appointed to this role, it is a requirement to hold active Security Check (SC) clearance. If you're ready to take the next step in your career, we want to hear from you! Please send your updated CV.

Here at Harvey Nash my client based in Glasgow is looking to recruit a Site Reliability Engineer to join their team on a full-time basis working on a hybrid working model ( 2 days per week onsite ). You'll join a public cloud team, supporting application migrations and working across the full development lifecycle, from solution design through to production support and continuous improvement. You'll play a key role in shaping and advancing the organisation's SRE capability. The role involves leading technical design discussions, engaging with senior stakeholders, and applying software engineering, automation, and incident response best practices to ensure the reliability, availability, and scalability of critical systems and platforms. Responsibilities include: Ensure system availability, performance, and scalability through proactive monitoring and capacity planning. Investigate and resolve outages, implementing measures to prevent recurrence. Build tools and scripts to automate processes, improving efficiency and resilience. Monitor performance, identify bottlenecks, and apply optimisation best practices. Collaborate with development teams to embed reliability and scalability across the SDLC. I'm looking to speak with self-starting candidates with: Strong cloud environment experience (AWS, Azure or GCP) Solid experience in observability and monitoring tools . You should be proficient in a development language such as Python , with experience using it to automate tasks, build tools, and support infrastructure management. Terraform or Cloud Foundation . Experience with CI/CD Pipelines You should also have a strong understanding of the SDLC or a software engineering background If you would be interested in learning more then please apply with your CV for review Always use these settings

Principal Full Stack Engineer & Architecture Lead, Great Company going through massive growth. London (Hybrid) 100,000- 110,000 + Benefits Command Recruitment is proud to be partnering with an ambitious and rapidly growing healthcare company that is transforming access to specialist healthcare services across the UK. Expected to hit 180M T/O this year from a start only 3 Years ago! This is the time to join this fast-moving and Growing Business This is a fantastic opportunity for an experienced Principal Engineer or Technical Architecture Lead to play a key role in shaping a modern, cloud-native healthcare platform that is making a genuine impact on people's lives. Our client is building one of the UK's most innovative healthcare service platforms and is seeking a hands-on technical leader who can combine strategic architecture with strong full-stack engineering expertise. The Opportunity As Principal Full Stack Engineer & Architecture Lead, you will take ownership of platform architecture, engineering standards, cloud infrastructure, and technical delivery across the business. You'll work closely with senior leadership, including the CTO, Director of Engineering, Product teams, and Data teams, to drive scalability, resilience, performance, and engineering excellence while remaining hands-on with development. This role would suit someone who enjoys solving complex technical challenges, mentoring engineers, and building modern distributed systems within a fast-moving product-led environment. Key Responsibilities Architecture & Technical Leadership Lead platform architecture and technical design decisions Define scalable, secure, and maintainable engineering standards Provide technical leadership across frontend, backend, APIs, infrastructure, and integrations Drive platform scalability, resilience, observability, and performance Partner with leadership teams to align technical strategy with business goals Act as the senior technical authority for complex engineering decisions Hands-On Engineering Contribute directly to backend and frontend production code Build scalable applications using Node.js, TypeScript, React, and Next.js Design and develop AWS serverless and event-driven systems Develop and optimise PostgreSQL databases and queries Support engineering teams with the delivery of complex technical initiatives Cloud, DevOps & Infrastructure Design and maintain CI/CD pipelines and deployment automation Build Infrastructure as Code using Terraform or AWS CDK Improve engineering workflows, release processes, and platform reliability Implement best practices across monitoring, logging, security, testing, and resilience Ensure systems remain secure, scalable, and compliant with GDPR and healthcare regulations Engineering Leadership Mentor and support engineers across the organisation Conduct code reviews and promote engineering best practices Help establish coding standards, testing frameworks, and operational excellence Foster a collaborative, high-performing engineering culture Technology Stack Cloud & Infrastructure AWS (Lambda, API Gateway, EventBridge, SQS, Step Functions, S3, CloudWatch, RDS) Backend Node.js, TypeScript Frontend React, Next.js, Tailwind CSS Data & Architecture PostgreSQL, Serverless, Event-Driven Microservices DevOps & Observability Terraform / AWS CDK, CI/CD, Monitoring & Logging About You We are looking for a technically strong and commercially minded engineering leader with: 8+ years of software engineering experience Proven experience operating at Principal Engineer, Staff Engineer, or Architecture Lead level Strong AWS cloud and serverless architecture expertise Excellent full-stack development experience across Node.js, TypeScript, React/Next.js, and PostgreSQL Experience leading technical direction across engineering teams Strong understanding of distributed systems and event-driven architecture Experience designing scalable, secure, production-grade systems A hands-on mindset with a passion for building high-quality technology Desirable Experience Life Science or regulated industry experience GDPR and data security knowledge AI/ML integrations or personalisation systems SaaS or startup experience What's On Offer 100,(Apply online only),000 salary Hybrid working (office 2-3 days per week) Pension contribution Birthday day off Modern equipment provided Team events and collaborative culture Opportunity to shape a fast-scaling healthcare platform with genuine social impact

Software Development Specialist / Professional Location: London, Cheltenham, Ipswich, or Manchester (Onsite) Hours: 37.5 hours per week Clearance Requirement: Active DV (Developed Vetting) clearance is mandatory. About the Role We are seeking engineers with strong IT and engineering skills to build, design, and secure modern technology platforms. You will work in a software-defined, automation-first environment to iterate fast and deploy at pace. Multiple roles are available across different seniority levels. Key Responsibilities Own and deliver automated engineering platform capabilities in a CI/CD environment. Design and evolve CI/CD pipelines and embed Infrastructure-as-Code (IaC). Integrate security controls into workflows so services are secure by design. Support engineering teams, remove manual tasks, and improve platform reliability. Collaborate across development, security, and operations teams. What You'll Need We are looking for a mix of some or all of the following: Development: Experience with Java, Python, JavaScript, C++, or C#. Cloud & Containers: Cloud-native platforms (AWS, Azure, GCP) and Kubernetes/Helm. CI/CD & IaC: GitLab, Jenkins, Terraform, or Ansible. Data & Observability: Database technologies and tools like Prometheus, Grafana, or ELK. Core Practices: Agile principles, technical documentation, and security principles (Zero Trust, IAM) Randstad Technologies is acting as an Employment Business in relation to this vacancy.

Principal Full Stack Engineer & Architecture Lead, Great Company going through massive growth. London (Hybrid) £100,000-£110,000 + Benefits Command Recruitment is proud to be partnering with an ambitious and rapidly growing healthcare company that is transforming access to specialist healthcare services across the UK. Expected to hit £180M T/O this year from a start only 3 Years ago! This is the time to join this fast-moving and Growing Business This is a fantastic opportunity for an experienced Principal Engineer or Technical Architecture Lead to play a key role in shaping a modern, cloud-native healthcare platform that is making a genuine impact on people's lives. Our client is building one of the UK's most innovative healthcare service platforms and is seeking a hands-on technical leader who can combine strategic architecture with strong full-stack engineering expertise. The Opportunity As Principal Full Stack Engineer & Architecture Lead, you will take ownership of platform architecture, engineering standards, cloud infrastructure, and technical delivery across the business. You'll work closely with senior leadership, including the CTO, Director of Engineering, Product teams, and Data teams, to drive scalability, resilience, performance, and engineering excellence while remaining hands-on with development. This role would suit someone who enjoys solving complex technical challenges, mentoring engineers, and building modern distributed systems within a fast-moving product-led environment. Key Responsibilities Architecture & Technical Leadership Lead platform architecture and technical design decisions Define scalable, secure, and maintainable engineering standards Provide technical leadership across frontend, backend, APIs, infrastructure, and integrations Drive platform scalability, resilience, observability, and performance Partner with leadership teams to align technical strategy with business goals Act as the senior technical authority for complex engineering decisions Hands-On Engineering Contribute directly to backend and frontend production code Build scalable applications using Node.js, TypeScript, React, and Next.js Design and develop AWS serverless and event-driven systems Develop and optimise PostgreSQL databases and queries Support engineering teams with the delivery of complex technical initiatives Cloud, DevOps & Infrastructure Design and maintain CI/CD pipelines and deployment automation Build Infrastructure as Code using Terraform or AWS CDK Improve engineering workflows, release processes, and platform reliability Implement best practices across monitoring, logging, security, testing, and resilience Ensure systems remain secure, scalable, and compliant with GDPR and healthcare regulations Engineering Leadership Mentor and support engineers across the organisation Conduct code reviews and promote engineering best practices Help establish coding standards, testing frameworks, and operational excellence Foster a collaborative, high-performing engineering culture Technology Stack Cloud & Infrastructure AWS (Lambda, API Gateway, EventBridge, SQS, Step Functions, S3, CloudWatch, RDS) Backend Node.js, TypeScript Frontend React, Next.js, Tailwind CSS Data & Architecture PostgreSQL, Serverless, Event-Driven Microservices DevOps & Observability Terraform / AWS CDK, CI/CD, Monitoring & Logging About You We are looking for a technically strong and commercially minded engineering leader with: 8+ years of software engineering experience Proven experience operating at Principal Engineer, Staff Engineer, or Architecture Lead level Strong AWS cloud and serverless architecture expertise Excellent full-stack development experience across Node.js, TypeScript, React/Next.js, and PostgreSQL Experience leading technical direction across engineering teams Strong understanding of distributed systems and event-driven architecture Experience designing scalable, secure, production-grade systems A hands-on mindset with a passion for building high-quality technology Desirable Experience Life Science or regulated industry experience GDPR and data security knowledge AI/ML integrations or personalisation systems SaaS or startup experience What's On Offer £ salary Hybrid working (office 2-3 days per week) Pension contribution Birthday day off Modern equipment provided Team events and collaborative culture Opportunity to shape a fast-scaling healthcare platform with genuine social impact

Platform Architect Hybrid £70,000-£100,000 About the Role: We're partnering with a growing SaaS business to hire a senior Platform Architect to own the design, security, reliability, and operational management of their AWS platform and internal IT function. This is a hands-on leadership role in a lean organisation where you'll shape cloud architecture, modernise a legacy platform into a cloud-native environment, and provide senior oversight across platform engineering, security, SRE, CI/CD, and operational IT. Key Responsibilities: Own the AWS platform architecture and modernisation roadmap, including migration from a Java monolith to microservices on EKS. Define standards for containers, runtime environments, observability, tenancy, security, and infrastructure automation. Lead SRE practices including SLI/SLOs, incident management, DR/BCP planning, post-mortems, and operational resilience. Own platform security, secure SDLC, CI/CD pipelines, IaC, and software supply chain governance. Drive developer productivity through automation, self-service tooling, and platform standardisation. Provide senior oversight of IT operations including service desk governance, endpoint management, onboarding/offboarding, patching, ITAM, and MSP/vendor management. Act as a senior escalation point for critical incidents, outages, and operational issues. About You: Experience within a platform, infrastructure, or software engineering within SaaS environments. Strong AWS expertise including EKS, IAM, networking, KMS, RDS, and multi-account architecture. Hands-on Kubernetes, CI/CD, Terraform, and cloud security experience. Strong understanding of SRE, observability, incident response, and disaster recovery. Experience operating within regulated environments such as ISO 27001, SOC 2, or GxP. Comfortable balancing strategic leadership with hands-on operational delivery. AWS Solutions Architect - Professional certification required. CKA or CKS certification highly desirable. Platform Architect Hybrid £70,000-£100,000 Oscar Associates (UK) Limited is acting as an Employment Agency in relation to this vacancy. To understand more about what we do with your data please review our privacy policy in the privacy section of the Oscar website.

Join an award-winning B2B consultancy at the forefront of enterprise AI, building and owning the cloud-native platform infrastructure that powers production-grade conversational and generative AI products at scale. The role This is a platform and infrastructure engineering role - not a data science or ML engineering position. You'll own the runtime, infrastructure, and operational layers that RAG pipelines, LLM orchestration, vector search, and evaluation workflows run on, across AWS and Databricks. The focus is on building scalable, observable, secure, and cost-efficient platform infrastructure that enables AI engineering teams to ship and operate AI products reliably in production. What you'll do Design, build, and operate cloud-native AI platform infrastructure across AWS (Lambda, API Gateway, DynamoDB, S3, CloudWatch) and Databricks Deploy and operate containerised services on Kubernetes using Terraform for infrastructure-as-code Own and scale vector search infrastructure (OpenSearch, Algolia, AWS Bedrock Knowledge Bases) and embedding pipelines Build and maintain CI/CD pipelines for inference services, retrievers, ingestion workflows, and RAG components Implement observability across AI workloads using CloudWatch, MLflow, and OpenTelemetry - covering latency, throughput, cost, and system health Apply secure-by-design principles including IAM, encryption, network controls, and audit logging Work closely with AI engineers to translate prototypes and proof-of-concepts into production-ready, well-architected platform components What we're looking for Proven experience in platform, infrastructure, or software engineering roles delivering production-grade systems on AWS Strong hands-on Kubernetes experience, specifically with EKS (Elastic Kubernetes Service) and ECS (Elastic Container Service) in production environments Strong Terraform experience for infrastructure-as-code, provisioning and managing cloud infrastructure at scale Experience operating containerised services, managing CI/CD pipelines, and owning observability and reliability Familiarity with vector databases or search infrastructure (OpenSearch, Algolia) is a strong advantage Python proficiency for scripting, automation, and deploying production services Solid grasp of distributed systems, cloud-native architecture, microservices, and API design Ownership mindset - comfortable operating autonomously across reliability, performance, cost, and security Why join? You'll own the foundational platform infrastructure behind a growing suite of generative AI products, working directly with senior AI and engineering leaders. This is a deep technical ownership role with long-term architectural impact, within an organisation investing heavily in AI at scale. INDAM The Portfolio Group are acting on behalf of our client in recruiting for this position.

Lead Software Engineer - MongoDB / Node.js / JavaScript As a Lead Engineer, you'll play a pivotal role in shaping the technical direction of the product. You'll guide a talented squad of engineers, drive architectural decisions, and deliver scalable backend systems that directly impact thousands of users. This is a hands-on leadership role where you'll balance technical excellence with mentorship, collaboration, and strategic thinking. What You'll Be Doing Technical Leadership Set the technical direction and lead architectural decision-making Mentor and support junior and senior engineers Conduct code reviews and uphold engineering best practices Backend Engineering Build and maintain scalable backend services and RESTful APIs Design and optimise MongoDB database solutions Improve and maintain existing backend infrastructure Troubleshoot production issues and implement robust solutions Collaboration & Delivery Work closely with cross-functional teams to deliver meaningful customer outcomes Participate in technical interviews and help grow the engineering team Drive improvements in processes, tooling, and development practices Core Technical Skills You'll thrive if you have experience with: MongoDB (data modelling, indexing, aggregation, performance tuning) Node.js and the wider JavaScript/TypeScript ecosystem Express.js and/or Fastify RESTful API design AWS or similar cloud platforms Microservices architecture Testing frameworks (Vitest, Jest, Mocha, etc.) CI/CD pipelines & DevOps practices GitHub workflows Observability tools (e.g., DataDog) Docker / Kubernetes Tech Stack You'll Be Working With Node.js, JavaScript/TypeScript Express.js, Fastify MongoDB AWS Vue.js, Nuxt.js Nice to Have - AI Experience Not essential, but a big bonus: Integrating AI/ML models Working with LLM APIs (OpenAI, Anthropic, etc.) Prompt engineering AI workflow tools (LangChain, Flowise) Building internal AI automation tools Benefits This company genuinely invests in its people. You'll enjoy: Remote-first working with offices in London, Manchester Flexible hours 25 days annual leave + 8 bank holidays + 2 Christmas shutdown days Option to purchase an extra week off Interested? Please Click Apply Now!

Head of Engineering - Cloud/DevOps/Leadership A leading UK financial services organisation is seeking a Head of Engineering to drive the strategic evolution of its Retail technology landscape. This role will lead the delivery of modern engineering practices, AI first approaches, and resilient, scalable platforms that underpin the organisation's customer facing products. Reporting to senior technology leadership, this position will shape engineering excellence, capability growth, and long term technical direction across the Retail division. You'll be a great fit for this role if: -You have a strong background in engineering leadership across multi team environments -You bring deep, hands on understanding of modern engineering practices including software development, cloud architecture, CI/CD, DevSecOps, observability, and security first design -You have experience driving AI first, context driven engineering approaches -You have led engineering organisations at scale (50+ FTE including partners) and can influence senior stakeholders effectively -You have experience balancing Legacy modernisation with cloud native transformation This is a permanent opportunity paying £150,000 + up to 40% bonus, requiring 3 days per week onsite in Central London Head of Engineering - Cloud/DevOps/Leadership

Senior Data Engineer Hybrid: 3 days in office, Warwick Duration: 6-Month Contract Rate: 450/day (Inside IR35) A leading organization is seeking a Senior Data Engineer to join their cloud data platform team on a hybrid basis (3 days in office, Warwick). This is a 6-month contracting role offering competitive daily rates and the opportunity to contribute to a modern, cloud-native data platform. The Role You will be responsible for driving the design and implementation of scalable, high-performing data architectures and pipelines. Working with the Interconnectors Data Platform (ICDP), you will provide both technical leadership and hands-on development, supporting the transition to modern Azure-based ingestion patterns and Medallion Architecture. Key Responsibilities Lead the design and implementation of scalable data architectures and layered models (Bronze/Silver/Gold). Develop robust, secure, and observable ingestion and transformation pipelines using Azure-based tools. Lead the migration from legacy ETL tools to modern cloud pipelines (ADF, Azure Functions, event-driven frameworks). Build performant SQL transformations and reusable data models. Implement CI/CD, automated testing, version control, and observability in workflows. Ensure data quality, validation, reconciliation, and auditability across platform layers. Collaborate with business and product teams to deliver high-quality analytical outputs. Mentor junior data engineers and contribute to team capability development. Required Skills & Experience Strong hands-on experience with Python for production-grade pipelines. Expert-level SQL , including optimization and data modelling. Azure Cloud experience (ADF, Functions, Storage, Key Vault). Deep understanding of data warehousing, dimensional modelling, and scalable architectures . Proficiency in Git, CI/CD, automated testing, and modern engineering best practices. Experience with API and SFTP ingestion and resilient pipeline design. Strong problem-solving, communication, and stakeholder collaboration skills. Desirable Experience with Medallion/Lakehouse patterns or Databricks-style ecosystems. Experience in regulated or high-assurance data environments. Collaboration with modeling teams in engineering-modelling interfaces

Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV

Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV

Software Engineer (AI & Full Stack) - Senior Consultant Salary: 60,000 - 70,000 pa + 4,000 Bonus plus benefits, perks and healthcare options Base locations: London, Manchester, Newcastle or Glasgow Job Type: Permanent Hybrid (2 days per week) Occasional travel to client site Overview: We're looking for a Software Engineer with strong frontend and backend development skills and experience with various GenAI frameworks to join a growing team delivering innovative AI-powered solutions for enterprise clients. This is an opportunity to work at the intersection of modern software engineering and Generative AI, building intelligent applications that solve real business challenges. You'll collaborate with senior stakeholders, architects, and engineering teams to design, develop, and scale production-ready solutions using the latest AI technologies and cloud-native engineering practices. Key Skills: AI & GenAI: LLMs, RAG, Agents, LangChain, LangGraph, CrewAI, Vercel AI SDK, OpenAI, Anthropic, Mistral, Llama. Full Stack Engineering: Python, TypeScript, React, APIs, Microservices, FastAPI. Cloud & DevOps: AWS/Azure, Docker, Kubernetes, Terraform, CI/CD. Data & Vector Search: PostgreSQL, MongoDB, Pinecone, Qdrant, ChromaDB, PGVector. Observability & Tooling: LangSmith, Langfuse, Git, GitHub, GitLab. Your Role: Collaborate with the team to develop GenAI proof-of-concepts (POCs) for clients using technologies like Retrieval-Augmented Generation (RAG) and intelligent agents. Scale existing POCs to production-ready solutions for customer use. Design and develop Full Stack applications for both GenAI and non-GenAI projects. Support the development of infrastructure to enable robust end-to-end solutions. Grow your skills by exploring and experimenting with emerging technologies, including GenAI. Your skills and experience: Backend Development: Experience in building microservices using either Python with FastAPI, or TypeScript with Express or equivalent Frontend Development: Experience in building React applications using TypeScript, leveraging frameworks such as Next.js or Vite. GenAI Frameworks: Familiarity with tools like LangChain, LangGraph, CrewAI, or Vercel AI (in Python or JavaScript). LLM experience: Practical experience with Large Language Models (LLMs) such as OpenAI, Anthropic, Mistral, or Llama, and tools like Ollama. Cloud Platforms: Proficiency in AWS or Azure for hosting and deployment. Containerization and Orchestration: Hands-on experience with Docker, Kubernetes, and Docker Compose. Infrastructure as Code (IaC): Exposure to tools like Terraform. Monitoring Tools: Familiarity with LLM monitoring tools like Langsmith, Langfuse, or similar. CI/CD: Experience with continuous integration and deployment tools such as GitLab, GitHub, or Jenkins. Vector Databases: Experience with and (but not limited to) ChromaDB, Pinecone, PGVector, MongoDB , Qdrant etc. NoSQL: Familiarity with NoSQL databases (e.g., MongoDB preferred). SQL: Experience working with SQL databases like PostgreSQL. Proficient in Git and version control platforms like GitHub, GitLab, etc. To be successfully appointed to this role, it is a requirement to obtain Security Check (SC) clearance. If you're ready to take the next step in your career and thrive in a fast-paced, innovative environment, we want to hear from you! Please send updated CV