Experience deploying applications on AWS or equivalent cloud platforms
Solid understanding of CI/CD, DevSecOps, and modern engineering practices
Experience working with AI / ML or GenAI solutions (LLMs, APIs, model integration)
Ability to translate AI prototypes into production ready solutions
Experience working in regulated or risk sensitive environments.
Hands on experience with AWS and cloud native technologies, including EC2, ECS, ALB, S3, AWS CLI, Docker, Kubernetes, and Artifactory, along with strong experience in GitHub, Jira, and GitHub Actions based CI/CD pipelines for build and deployment automation.
Master s/or bachelor s degree in engineering, Computer Science, Data, or a related discipline
Relevant cloud or AI certifications are advantageous (AWS, AI/ML, GenAI)
Desirable
Experience with AWS cloud as part of DHP platform or similar enterprise deployment platforms
Knowledge of containerisation (Docker) and orchestration (Kubernetes / EKS)
Exposure to agentic AI or AI driven automation
Understanding of technology risk, controls, and assurance frameworks
This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: DevOpsRole: Site Reliability EngineerEmployement Type: Full time