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:

Robust 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 Qualified or AWS Certified DevOps Engineer – Skilled.

📌 Aws Ai Cloud Engineer Bengaluru
🏢 Cognizant
📍 Bengaluru