DevOps & Automation engineers - Kubernetes, Python
Skills
About the role
Requisition ID 10246 - Posted 06/12/2026
Experience: 4–6 Years
Location: Pune, India
Employment Type: Full-Time
Job Summary
We are seeking a highly motivated DevOps Engineer with 4 – 6 years of experience in cloud-native application deployment and container orchestration. The ideal candidate will have strong expertise in Kubernetes administration, microservices deployment, containerization, CI/CD pipelines, and DevOps practices. During lean periods, the engineer will also contribute to microservice development using Python and/or TypeScript.
Key Responsibilities
Kubernetes & DevOps
Deploy, manage, and maintain containerized applications on Kubernetes clusters.
Configure and manage Kubernetes resources including Deployments, Services, Ingress, ConfigMaps, Secrets, and StatefulSets.
Monitor cluster health, performance, scalability, and availability.
Troubleshoot application deployment, networking, and infrastructure issues.
Automate deployment and operational activities using CI/CD pipelines.
Work closely with development teams to optimize containerized workloads.
Implement security best practices for Kubernetes environments.
Manage logging, monitoring, and observability solutions.
Microservices Development
Design, develop, and maintain microservices using Python and/or TypeScript.
Build RESTful APIs and backend services following microservices architecture principles.
Participate in code reviews, testing, and performance optimization activities.
Collaborate with cross-functional teams to deliver scalable and reliable solutions.
Required Skills
4–6 years of overall software engineering experience.
Strong hands-on experience with Kubernetes (K8s) administration and deployment.
Experience with Docker and containerization technologies.
Good understanding of Microservices Architecture.
Experience with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or similar.
Strong Linux administration and troubleshooting skills.
Experience with source control systems such as Git.
Knowledge of monitoring and logging tools like Prometheus, Grafana, ELK, or similar.
Understanding of networking concepts, load balancing, and service discovery.
Familiarity with Agile and DevOps methodologies.
Preferred Skills
Development experience using Python and/or TypeScript.
Experience with cloud platforms such as AWS, Azure, or GCP.
Knowledge of Infrastructure as Code (Terraform, Ansible, Helm Charts).
Experience with service mesh technologies such as Istio or Linkerd.
Exposure to security and compliance practices in containerized environments.
Education
Bachelor's or Master's degree in Computer Science, Information Technology, Electronics, or a related engineering discipline.
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