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