Cheltenham, Gloucestershire, England, United Kingdom Hybrid / WFH Options
Computer Futures
puts flexibility and trust at the core. What You'll Be Building Intelligent platforms that leverage real-time data and AI Microservices-based systems using Java , Spring Boot , and AWS Secure, scalable infrastructure for public and private sector clients Front-end applications using React.js , TypeScript , and modern UI/UX principles CI/CD pipelines and DevOps tooling for … so whether you're mid-level or principal, we'd love to hear from you if you have: Strong experience with Java and Spring Boot Hands-on knowledge of AWS (Lambda, ECS, S3, etc.) Front-end development skills with React.js , TypeScript , or Angular.js Familiarity with CI/CD pipelines and DevOps tooling Bonus points for experience with: AI More ❯
test environments, including Blue/Green deployment strategies. Relevant certifications such as ISTQB Foundation or Certified Agile Tester are advantageous. Desired Skills Practical experience deploying and managing services in AWS (EC2, EKS, Lambda, IAM, S3). Experience automating integration tasks using the AWS SDK (Boto3). Understanding of hybrid-cloud deployments and use of CloudTrail for debugging More ❯
in Cheltenham Must hold Active Enhanced DV (West) Clearance to start Up to £105k DoE Cheltenham location – 80% on-site Essential experience in Data Architecture, Data Analytics, AI Solutions, AWS Who Are We? Our client has over 30 years of experience in solving complex data challenges for defence, national security, and central government clients. They specialise in areas such … modelling, analysis, transformation, migration, and master data management. Experience in developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). To be Considered.... Please either apply by clicking online or emailing me directly More ❯
metadata , and master data management . Track record of delivering data analytics and AI/ML-enabling solutions across complex environments. Hands-on experience with cloud data platforms , ideally AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR). Experience with Azure technologies (ADF, Synapse, Fabric, Azure Functions) is also valued. Strong understanding of modern data lakehouse architectures , such as More ❯
