26 to 39 of 39 AWS CloudFormation Jobs in the Thames Valley

and internal engineering teams. Technical Profile 7+ years’ experience in software engineering or cloud architecture , with recent focus on solution design and delivery leadership . Deep experience with AWS, GCP, or Azure , including infrastructure-as-code (Terraform, CloudFormation, Crossplane, Ansible). Proven ability to architect and deploy containerised systems (Docker, Kubernetes) at scale. Proficiency in one More ❯

infrastructure planning for global scalability. Embed platform reliability, service quality, and performance metrics at the heart of engineering execution. Oversee a scalable, secure multi-tenant SaaS architecture on AWS; drive standards, patterns, and guardrails, including Android & applications Lead an effective blended development model with clear SOWs, SLAs, quality gates, secure access, and code ownership. Manage engineering/infrastructure … in-house and partner teams without loss of quality or security. Experience leading ISO standard and GDPR compliance programmes. Deep expertise in providing strategic oversight and guidance for AWS cloud architecture (including EKS/ECS, serverless, RDS/Aurora, DynamoDB, S3, CloudFront, ALB/NLB, SNS/SQS/Kinesis, KMS/Secrets), infrastructure as code (Terraform, CloudFormation … Sales, Customer Success, and external customers: evidence of constructive trade-offs with a CPO/Product leaders; clear communication to execs/Board Knowledge Cloud-native SaaS on AWS, distributed systems, data consistency & resiliency; identity and access patterns. Telecoms/device ecosystem and integrations (operators, OEMs), enterprise security and compliance expectations. Cost optimisation and unit economics for cloud More ❯

and maintain robust, scalable data pipelines and infrastructure that power our analytics, machine learning, and business intelligence initiatives. You'll work with cutting-edge technologies like Python, PySpark, AWS EMR, and Snowflake, and collaborate across teams to ensure data is clean, reliable, and actionable. Responsibilities: - Build and maintain scalable ETL pipelines using Python and PySpark to support data … ingestion, transformation, and integration - Develop and optimize distributed data workflows on AWS EMR for high-performance processing of large datasets - Design, implement, and tune Snowflake data warehouses to support analytical workloads and reporting needs - Partner with data scientists, analysts, and product teams to deliver reliable, well-documented datasets - Ensure data integrity, consistency, and accuracy across multiple sources and … manual intervention - Monitor pipeline performance, identify bottlenecks, and resolve issues proactively - Apply best practices in CI/CD, version control (e.g., Git), and infrastructure-as-code (e.g., Terraform, CloudFormation) - Enforce data security, compliance, and governance standards in line with industry regulations - Mentor junior engineers, conduct code reviews, and foster a culture of continuous learning and knowledge-sharing Mandatory More ❯

machine learning models and production pipelines. Evaluate and recommend new cloud services to enhance infrastructure performance and efficiency. What We’re Looking For Professional-level cloud certification (e.g. AWS Solutions Architect, DevOps Engineer, or Developer). 5+ years of experience in cloud architecture, design, and implementation. Strong technical expertise in core cloud services (e.g. EC2, S3, RDS, Lambda … API Gateway, VPC, Route 53, IAM, CloudFormation, or Terraform). Familiarity with security and compliance frameworks (e.g. CIS, SOC 2, HIPAA). Proven success in leading cloud migration projects using tools such as AWS Server Migration Service or AWS Database Migration Service. Hands-on experience with DevOps tools (e.g. Git, Jenkins, Docker, Kubernetes). More ❯

including: Commercial experience building and deploying multi-agent systems Strong Python development skills for AI/ML applications Understanding of LLM orchestration , memory, and tool usage Familiarity with AWS core services , cloud security, and IaC (Terraform/CloudFormation) Proficiency with containerisation (Docker) and Kubernetes-based environments A passion for experimentation , research, and bridging theory with practice More ❯

including: Commercial experience building and deploying multi-agent systems Strong Python development skills for AI/ML applications Understanding of LLM orchestration , memory, and tool usage Familiarity with AWS core services , cloud security, and IaC (Terraform/CloudFormation) Proficiency with containerisation (Docker) and Kubernetes-based environments A passion for experimentation , research, and bridging theory with practice More ❯

for the rest of the week. The team is small, modern, and forward-thinking, offering real influence and variety in your work. Technology environment includes: Cloud and Infrastructure • AWS and cloud architecture • Infrastructure as code using Terraform and CloudFormation • Docker and Kubernetes • Automation and CI/CD pipelines • GitHub and GitHub Actions Software and Frameworks • React More ❯

You’ll Be Doing Analyse and understand system interfaces and data flows across our enterprise. Design and maintain clear, business-aligned data models. Build and support integrations using AWS services (Lambda, Step Functions, S3, MSK/Kinesis, API Gateway). Ensure data transformations are well documented, traceable, and consistent. Collaborate with product owners, architects, and business stakeholders to … to-end and drive continuous improvement. Champion standardisation of integration patterns and documentation. 🧠 What You’ll Bring Proven experience in data engineering or integration engineering. Strong proficiency with AWS cloud-native services. Solid SQL skills and scripting experience (Python preferred). Expertise in data modelling and mapping complex transformations. Familiarity with ETL/ELT tools and streaming technologies … Kafka, Kinesis). Experience with CI/CD pipelines and infrastructure as code (Terraform or CloudFormation). Excellent communication skills – able to translate business needs into technical solutions. A proactive mindset, strong analytical skills, and comfort working with evolving requirements. 🤝 Who You Are A clear communicator who can explain technical concepts to non-technical audiences. Curious and collaborative More ❯

by-design solutions, and enabling teams to deliver at speed without compromising on resilience or compliance. Key Responsibilities Design, build, and maintain secure cloud and platform infrastructure on AWS, Kubernetes, and OpenShift Implement Infrastructure as Code using Terraform, CloudFormation, and Ansible Create and optimise secure CI/CD pipelines with GitLab CI/CD, Jenkins, and … ArgoCD Embed security scanning and compliance tools (Snyk, Trivy, Checkov, SonarQube) into automated workflows Manage authentication, access control, and secrets using Vault, AWS Secrets Manager, OAuth2.0, and Zero Trust principles Monitor environments with ELK Stack, Splunk, and Prometheus to ensure visibility, auditing, and compliance Collaborate with engineering, operations, and security teams to promote DevSecOps best practices Key Skills … Experience Strong background in cloud platforms, particularly AWS and Kubernetes (OpenShift experience advantageous) Proven expertise in IaC, automation, and modern CI/CD practices Deep knowledge of application security, access management, and Zero Trust Networking Hands-on experience with vulnerability scanning, policy-as-code, and automated compliance tooling Proficiency in building secure, reliable, and scalable pipelines and platforms More ❯

a Senior Devops & Cloud Engineer to join their team. This role requires someone who can visit office 5 days a week. The ideal candidate: Extensive experience of of AWS services and technologies e.g. networking, compute, storage, security, IAM and EKS. Strong experience of automate deployment and configuration changes of infrastructure using tools such as CloudFormation, Terraform More ❯

Machine Learning Engineer | Generative AI | AWS | End-to-End ML Solutions Location: London-based | Hybrid Please note: Sponsorship is not offered for this position We’re working with a leading organisation on a mission to become one of the most insight-driven businesses in its sector, placing machine learning and generative AI at the core of customer experiences … standardise ML infrastructure using Docker, Kubernetes, and Terraform. Support and develop monitoring dashboards for key ML and AI services. Ensure cloud-native, secure, and cost-efficient deployments in AWS environments. Contribute to the development of shared platforms and tooling that enable model deployment and experimentation. Compliance Adhere to governance, risk, and compliance obligations relevant to the role. Identify … jobs, or streaming services (e.g., Kafka Streams). Proficiency in containerised application deployment with Kubernetes. Demonstrated experience building ML solutions from concept to delivery. Strong cloud engineering skills (AWS preferred; Terraform or CloudFormation a plus). Excellent communication and collaboration skills. Up-to-date knowledge of modern ML and AI developments. Why Join This is a More ❯

Azure | DevOps | K8s | Kubernetes | Terraform | Platform | Cloudformation | Amazon Web Services | Java | AWS Want to feel like the Tech you build offers a purpose? Part of an exciting scale up, that are really making a difference? Want to work on modern Kubernetes orchestration? I've partnered an award winning SaaS who've got multiple accolades and recognition … add-ons to make patients, doctors and users life easier. With the product it is, you'll be dealing with large data sets, scalable and secure Azure and AWS Cloud Infrastructure hosted on Kubernetes. Part of a team of 6 you'll be all over Kubernetes orchestration with Terraform and ideally have a provificiency or background in Programming … to stand up their high traffic SaaS. With multi-Cloud Cloud hosted products Azure preferred but AWS also interesting! In return, the role offers up to £80k plus benefits including medical, 25 days AL, enhanced parental leave and more! Azure | DevOps | K8s | Kubernetes | Terraform | Platform | Cloudformation | Amazon Web Services | Java | AWS More ❯

value. Champion security, observability, and reliability best practices. Mentor teammates and help cultivate a healthy, innovative engineering culture. Tech Stack: Core: TypeScript/JavaScript (server-side) Cloud & Infra: AWS (cloud-based architectures), Docker, CI/CD; IaC such as Terraform or CloudFormation Quality & Ops: Security and observability tooling/best practices Bonus exposure: React on the … strict year counts. You should have: Strong TypeScript/JavaScript fundamentals and experience building high-traffic server-side web applications. Solid understanding of cloud-based application architecture (preferably AWS). Hands-on experience with Docker and CI/CD tooling. Practical grasp of security and observability best practices. Clear, collaborative communication and leadership skills. Why join? Work on More ❯

at a high-growth fintech scale-up working with top-tier global financial institutions. The role involves building and scaling backend systems in Node.js and Python, deploying on AWS (Lambda, DynamoDB, PostgreSQL), and collaborating closely across engineering, product, and customer teams. 💼 Ideal Candidate: Proven experience with backend/fullstack development using Node.js , Python , and AWS serverless … like Vue or React Comfortable mentoring developers and influencing technical direction Experience in financial services or a data-heavy B2B environment is a plus 🛠 Tech Stack: Node.js , Python , AWS (Lambda, DynamoDB, CloudWatch, CloudFormation), PostgreSQL, Elasticsearch, Terraform 📍 Location: Hybrid, based in London (Victoria) — flexible home/office split Please apply now More ❯