11 of 11 Amazon CloudWatch Jobs in the Thames Valley

Exposure to Infrastructure-as-Code tools (Terraform, CloudFormation). Experience setting up CI/CD pipelines and integrating with Git-based workflows. Familiarity with monitoring, observability, and logging stacks (CloudWatch, ELK, Prometheus, Grafana). Knowledge of containerisation (Docker). Interest in capital markets infrastructure (e.g. market-making, SBL, or Delta One) or prior experience supporting trading systems. Example Projects More ❯

ability to collaborate with cross-functional teams. Desirable Skills: Experience with AWS certifications (AWS Certified Solutions Architect, Developer, or DevOps Engineer). Experience with Monitoring and Logging solutions like CloudWatch , New Relic , or Datadog . More ❯

Docker, and Helm Proficiency with Terraform and CI/CD pipelines (Drone/GitLab) Excellent understanding of Kafka internals and secure stream processing Experience with monitoring tools (Prometheus, Grafana, CloudWatch) Knowledge of security hardening, IAM, WAF, Shield, Vault Working knowledge of Agile, IaC, and DevSecOps delivery Must hold UK*C or Enhanced DV (eDV) Clearance – sole British nationals only More ❯

AWS CodePipeline Excellent problem-solving skills and attention to detail Effective communication and teamwork skills Preferred Skills: AWS certifications (e.g., AWS Developer Associate) Experience with monitoring and logging tools (CloudWatch, ELK Stack More ❯

PROFILE Strong programming skills in Python API development (Flask, FastAPI, AWS API Gateway) via REST APIs, event driven architectur Cloud - AWS (preferred)/Google/Azure AWS Step Functions, CloudWatch, Lambda, EKS, Dynamo DB, S3, RDS, etc. AWS Bedrock (Claude, Titan, OpenSearch serverless, Guardrail, etc.) Large Language Models RAG - Embeddings Models, Vector DB & search method Prompt Engineering Model/ More ❯

Appium, and Python. Collaborate with DevOps and Engineering teams to integrate testing into CI/CD pipelines. Familiarity with (or strong interest in learning) cloud-native tooling: AWS (especially CloudWatch) Artifact Management (e.g., Artifactory, CodeArtifact) Infrastructure as Code with Terraform Monitor test metrics, troubleshoot failures, and improve system observability and debuggability. More ❯

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 ❯

and data models (MongoDB, PostgreSQL) Implement asset storage, retrieval, and management systems (AWS S3) Build job queue management for async ML workflows (SNS, SQS) Setup application monitoring and logging (CloudWatch, Grafana, Prometheus) Implement CI/CD for application deployment (Bitbucket Pipelines) Create API documentation and developer tools What we are looking for 5+ years backend development experience with production More ❯

tools. Familiarity with CI/CD practices and Infrastructure-as-Code tools (Terraform, CloudFormation, or similar). Experience setting up alerting, logging, and monitoring for data pipelines (e.g., using CloudWatch, Datadog). Comfortable collaborating with data scientists and analysts to productionise models or build reusable data assets. A track record of automating manual processes and designing systems to scale More ❯

about. My client is based in Central London but does not require office work unless a core meeting is called. Distributed Systems , Scale, Java, EC2, DevOps, Linux, AWS, Java, CLoudwatch More ❯

and automation working closely with development and R&D teams to improve reliability and scalability across production systems.You’ll get hands-on with AWS services (EC2, S3, RDS, IAM, CloudWatch), infrastructure automation (Terraform, Bash, Python), and continuous integration tools, with opportunities to contribute to new deployments and cloud-native initiatives. To secure the role, you’ll need: Strong knowledge … of AWS (EC2, S3, IAM, RDS, CloudWatch) Confident working in a Linux environment Scripting (Bash, Python) Experience in automation and CI/CD practices Good problem-solving mindset and clear communication skills Keen interest in secure cloud environments, SaaS, and DevOps culture This is a great opportunity if you’re early in your DevOps journey and want to develop More ❯