AWS/FULL STACK Professional

• Strong expertise in AWS cloud infrastructure, including VPCs, Private Subnets, VPC Endpoints, S3 Gateway Endpoints, Lambda, Step Functions, RDS, S3, ECR, Secrets Manager, and CloudWatch.
• Proven experience designing and managing secure, scalable, and highly available cloud environments with a focus on network isolation and security best practices.
• Hands-on experience building and maintaining automated data extraction and processing pipelines using Python, AWS Lambda, Step Functions, and Scrapy.
• Strong DevOps background with expertise in CI/CD implementation and deployment automation across cloud environments.
• Experience integrating enterprise applications with Azure AD for secure authentication and Single Sign-On (SSO).
• Knowledge of AI/ML infrastructure requirements, including support for ML models, LLM-based solutions, and data-driven applications.
• Experience deploying and supporting containerized applications and Streamlit-based front-end solutions
• Strong understanding of monitoring, observability, logging, and alerting using Amazon CloudWatch.

Overall, the candidate demonstrates a strong alignment with the technical and operational requirements of the Senior AWS / DevOps Engineer role and is recommended for hiring

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