GCL: C2
Introduction to role
Are you ready to scale secure, automated AWS platforms and bring GenAI into production to accelerate how life-changing medicines reach patients? Join a platform engineering group that partners across data, engineering, and AI/ML teams to deliver reusable cloud capabilities and operationalize AI applications where they matter most
You will build the foundations that let our scientists and clinicians move faster, with confidence. From codifying guardrails to enabling self-service deployments and AI integrations, your work will turn complex ideas into reliable, compliant, and cost-efficient solutions. Do you thrive in a high-ownership, quick-paced environment where your code unlocks impact at enterprise scale?
Accountabilities
Cloud Platform Automation: Build, automate, and maintain AWS infrastructure using Terraform, CloudFormation, or similar declarative configuration tools to deliver repeatable, secure environments.
CI/CD Enablement: Design and maintain pipelines in Jenkins, GitHub Actions, and GitLab CI to ship changes safely and frequently,



embedding quality gates and controls.
Secure-by-Design Engineering: Implement IAM the least privilege, secrets management, network segmentation, and governance guardrails that meet compliance without slowing delivery.
Containerized Workloads: Package and run services with Docker on ECS/EKS and orchestrate event-driven compute with Lambda for scalable, resilient apps.
Observability and Reliability: Instrument logging, metrics, and tracing using CloudWatch, Datadog, and Grafana; automate alerting and remediation; drive performance, reliability, and cost efficiency.
Reusable Platform Capabilities: Develop IaC patterns, blueprints, and self-service offerings that unblock engineering and data teams and set the standard on consistency.
Data and Integration Enablement: Provide patterns for data processing and transformation; integrate with enterprise APIs, databases, and cloud services; leverage messaging w

📌 AWS DevOps (Chennai)
🏢 AstraZeneca
📍 Chennai