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:

- Robust 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

📌 Python Django / ML Developer [I+S/- (Noida)
🏢 ValueCoders
📍 Noida