Python Django / ML Developer [I+S/E3-MM1]

Key Responsibilities: Develop and maintain automated scripts using Unix Bourne Shell and Python for infrastructure tasks and application deployment Integrate and maintain DevOps toolchains to streamline CI/CD pipelines , configuration, and monitoring Administer Linux-based systems , optimize performance, and ensure system reliability Manage source control systems (Git, GitHub, GitLab, TFS) for versioned infrastructure and collaboration Automate deployments using tools like Ansible , Kubernetes , OpenShift , and manage end-to-end orchestration Use Jenkins or similar tools for building and deploying code in production-grade environments Handle containerization and container orchestration using Docker and Kubernetes (on-prem and cloud) Manage and tune microservices environments across cloud and on-premises infrastructures Deploy and maintain Spring Boot and Python-based applications (Django, FastAPI, Flask) Implement and support machine learning/data pipelines using Airflow, Kubeflow, or MLflow Set up and manage object storage platforms (e.g., Ceph on Rook ) Configure and maintain web servers and reverse proxies (Nginx, Apache, HAProxy) Monitor infrastructure and application health using Prometheus, Grafana , and related observability tools Provision and maintain SQL and NoSQL databases Collaborate with engineering teams to support backend infrastructure and ensure high availability Design and implement fully automated cloud infrastructure that scales globally across regions Desired Skills & Qualifications: Strong experience in automation with Ansible , and shell scripting (Bourne shell) Deep understanding of Kubernetes , container lifecycle , and orchestration best practices Experience with cloud platforms (AWS, GCP, Azure, DigitalOcean) and infrastructure provisioning Programmatic knowledge of managing cloud storage and machine images Hands-on experience with networking components : Load Balancer, ACL, Firewall, VIPs, DNS Solid troubleshooting skills with Docker , containers, and Linux systems Experience working across multiple Linux distributions Familiarity with Azure DevOps Server and CI/CD pipelines Understanding of RESTful microservices architecture Cloud certifications in AWS , GCP , or Azure (preferred) Excellent communication and collaboration skills Strong learning mindset and ability to quickly adopt new tools and technologies Ability to work as a team player in cross-functional and remote-first environments