Role & responsibilities Generic policy creation roles/ process Service certification process - AWS Cloud duty, services are vetted across proper security checks, IAC, CI/ CD Pipeline, GitHub/ GitLab Should know how to run the pipelines, have their own repos Hans on experience with cloud security concepts Good understanding of cloud security, how instances work, should be engineering savvy, have good understanding of AWS services Curl Commands Good understanding of CI/ CD pipeline, pipeline security etc. experience with Terraform, Infrastructure as Code (IaC), PaC (Policy as Code) etc.
Role & responsibilities 2 to 10 years of professional experience in software development. Hands on experience in Python . Hands-on experience with any cloud ecosystem. Exposure to Large Language Models (LLMs) Strong problem-solving skills, analytical thinking, and attention to detail. Excellent communication and collaboration skills. Roles and Responsibilities: Develop, and implement generative AI applications using Python and any cloud 's AI/ML services. Collaborate with product managers, data scientists, and other engineers to understand requirements and translate them into technical specifications for GenAI solutions. Stay up-to-date with the latest advancements in generative AI, large language models (LLMs), and related technologies. Develop and integrate APIs and services for seamless interaction between GenAI models and existing systems. Write clean, efficient, and reusable code following best practices. Troubleshoot and debug applications to ensure optimal performance. Write unit test cases Good to Have Skills & Experience : Experience with RESTful APIs and microservices architecture. Experience with Retrieval-Augmented Generation (RAG) frameworks and implementations Familiarity with Lang-Chain or similar frameworks. Cognizance on Cloud Storage, Cloud Functions / Cloud Run, Cloud Logging / Monitoring.