DevOps Machine Learning Infrastructure

Bachelor's Degree in Computer Science or equivalent work experience. Minimum of 5 years of relevant experience. Proficiency in Python, with experience using FastAPI for API development. Hands-on experience with AWS EKS, including deploying, scaling, and managing Kubernetes clusters. Knowledge of containerization technologies (Docker, Kubernetes). Experience with cloud infrastructure services such as S3, RDS, and VPCs. Familiarity with CI/CD tools like GitLab CI/CD or Jenkins. Strong understanding of database systems, including MongoDB, PostgreSQL, and NFS. Experience with on-premises storage solutions like Ceph. Expertise in Linux system administration. Ability to write clean, maintainable code and perform thorough testing. Excellent problem-solving skills and a strong attention to detail.

Develop, maintain, and optimize RESTful APIs using Python and FastAPI. Deploy & manage applications on AWS EKS, ensuring high availability, scalability, and performance. Integrate with various data sources & services (e.g., MongoDB, Postgres) for efficient data storage and retrieval. Implement CI/CD pipelines to automate testing and deployment processes. Collaborate across teams to ensure seamless integration of cloud-native tools and practices. Maintain on-premises servers running Ceph, PostgreSQL, and NFS services. Troubleshoot & resolve issues across different environments (development, staging, production). Participate in code reviews, pair programming, and knowledge sharing sessions.