Key Responsibilities

- Cloud Architecture &
- Evaluation:

Assess and analyze existing AWS landscapes against the AWS Well-Architected Framework to identify gaps and recommend strategic improvements.

- Infrastructure Design: Architect and develop secure, scalable, and resilient cloud applications utilizing core AWS services.

- DevOps &

- Automation:

Design, implement, and maintain robust CI/CD frameworks to streamline application deployment.

- Scripting &

- Tooling:

Build automation scripts and infrastructure-as-code solutions to eliminate manual processes and improve operational efficiency.

Required Skills &

- Qualifications

- AWS Expertise: Deep, hands-on experience architecting and developing with core AWS services, including S3, Lambda, EC2, VPC, and IAM.

- CI/CD Tools: Strong experience with Azure DevOps (ADO)



or similar tools like Jenkins for continuous integration and delivery.

- Automation &
- Scripting:

Strong understanding of automation using Python and the Boto3 library.

- Methodologies: Solid understanding of modern CI/CD principles, DevOps culture, and agile methodologies.

Nice to Have / Preferred Qualifications

- Experience or core knowledge of generative AI tools, specifically AWS Bedrock and AI Agents.

- Application Development: Core software development experience using languages such as Python, Java, or equivalent will be nice to have

- Relevant certifications, such as AWS Certified Solutions Architect Professional or AWS Certified DevOps Engineer – Skilled.

📌 AWS AI Cloud Engineer (Bengaluru)
🏢 Cognizant
📍 Bengaluru