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