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DevOps & Automation engineers - Kubernetes, Python (Pune)

Agiliad · Pune

📅 11/08/2026
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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 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 - 46 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. - Solid 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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