Job Title:  Senior Associate | Engineering, AI & Data - Engineering | AWS

Senior Associate | Engineering, AI & Data - Engineering | AWS

Location: Bangalore

The Team

Engineering helps Reimagine and re-engineer mission-critical operations and processes; Leverage engineering-led design, deep industry knowledge, and AI and data-driven insights to transform the technology platforms at the heart of business.  

Working alongside team, we empower and drive mission-critical solutions whether we need to modernize existing systems or implement new technology products and platforms. Through innovation, we improve financial performance, accelerate new digital businesses and fuel growth. Learn more about Engineering, AI and Data

Your work profile

We are seeking an AWS DevOps Analyst to support CI/CD pipelines, automation workflows, and day-to-day AWS cloud operations.

Key Responsibilities:

• Assist in CI/CD pipeline creation using AWS CodePipeline, CodeBuild, CodeDeploy, or GitHub Actions.

• Support infrastructure provisioning using Terraform, CloudFormation, and automation scripts.

• Help configure AWS resources including EC2, S3, IAM, Lambda, VPC, and CloudWatch.

• Support Docker-based deployments and assist with EKS/ECS activities.

• Monitor applications using CloudWatch Logs, Metrics, and Alarms.

• Assist with YAML/JSON templates, workflow automation, and scripting.

• Maintain documentation, SOPs, and deployment runbooks.

Must-Have Skills:

• Foundational hands-on knowledge of AWS services (EC2, S3, IAM, VPC, Lambda, CloudWatch).

• Exposure to CI/CD tools (CodePipeline/Jenkins/GitHub Actions).

• Basic experience with Terraform or CloudFormation.

• Scripting knowledge (Python/Bash/PowerShell).

• Understanding of Docker and Kubernetes basics.

Key skills required

• Education: Any bachelor’s or master’s degree
• AWS certification preferred.
• Experience with monitoring tools (Datadog/Dynatrace).
• Familiarity with Git and branching strategies.
• Understanding of Agile/Scrum.