world applications Knowledge of authentication, secret management, networking, and model access governance Bonus Points For: Kong API Gateway, Kong Mesh, Flux CD AWS stack: EC2, EKS, S3, SQS, DynamoDB, Bedrock RESTful API development with FastAPI, microservices, Terraform, GitOps workflows Prompt evaluation tools such as Promptfoo SQL and NoSQL experience: MySQL, PostgreSQL, MongoDB, Cassandra Exposure to RAG patterns and More ❯
GitHub and related systems. As an DevOps Engineer, you will be responsible for: Build, deploy, and monitor cloud solutions using AWS services (Lambda, API Gateway, CloudWatch, ECS, ECR, DynamoDB, S3). Integrate APIs into CI/CD pipelines using Azure DevOps and GitHub workflows. Design and manage applications using Apigee Edge and X, overseeing the full API lifecycle More ❯
to meet project requirements. Collaborate closely with mainframe teams to understand interdependence and troubleshoot integration points where necessary. Monitor AWS cloud resources including CloudWatch for logging and alerting, DynamoDB for database management, and AWS Lambda for serverless compute tasks related to project workflows. Implement best practices for environment stability, performance tuning, and security compliance. Produce detailed technical documentation … in IBM DataPower development, configuration, and troubleshooting within enterprise environments. Familiarity with mainframe systems and integration with DataPower where applicable. Good working knowledge of AWS services, particularly CloudWatch, DynamoDB, and Lambda, including monitoring, troubleshooting, and optimisation. Excellent verbal and written communication skills to effectively articulate technical issues and solutions. Ability to work under pressure and manage multiple priorities More ❯
to meet project requirements. - Collaborate closely with Mainframe teams to understand interdependencies and troubleshoot integration points where necessary. - Monitor AWS cloud resources including CloudWatch for logging and alerting, DynamoDB for database management, and AWS Lambda for serverless compute tasks related to project workflows. - Implement best practices for environment stability, performance tuning, and security compliance. - Produce detailed technical documentation … experience in IBM DataPower development, configuration, and troubleshooting within enterprise environments. - Familiarity with Mainframe systems, integration with DataPower where applicable. - Good working knowledge of AWS services, particularly CloudWatch, DynamoDB, and Lambda, including monitoring, troubleshooting, and optimisation. - Excellent verbal and written communication skills to effectively articulate technical issues and solutions. - Ability to work under pressure and manage multiple priorities More ❯
