Strong hands‑on experience in **Python development**
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** .
*Responsibilities: 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**
**Qualifications: 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)