Lead DevOps Engineer

Job Title: DevOps ManagerExperience: 8+ YearsLocation: PuneEmployment Type: Full-timeAbout the RoleWe are looking for an experienced DevOps Manager with strong hands-on technical expertise and leadership capabilities to manage cloud infrastructure, automation, CI/CD, deployments, and platform reliability. The ideal candidate should have strong experience in Shell Scripting, cloud platforms, Kubernetes, Terraform, and production DevOps environments.Key Responsibilities• Lead and mentor the DevOps engineering team.• Design, implement, and optimize CI/CD pipelines and deployment processes.• Manage scalable and highly available cloud infrastructure across AWS / Azure / GCP.• Drive Infrastructure as Code (IaC) using Terraform and configuration automation using Ansible.• Manage Docker and Kubernetes based environments.• Develop and maintain automation scripts using Shell/Bash Scripting and Python.• Implement monitoring, logging, alerting, and observability.• Handle production incidents, troubleshooting, root cause analysis, and preventive actions.• Drive infrastructure security, performance, scalability, and cloud cost optimization.• Collaborate with Development, QA, Security, Architecture, and Delivery teams.Required Skills & Qualifications• 8+ years of experience in DevOps, Cloud Engineering, Platform Engineering, or related roles.• Strong hands-on experience in Shell / Bash Scripting.• Experience with AWS / Azure / GCP cloud platforms.• Strong knowledge of CI/CD tools such as Jenkins, GitHub Actions, GitLab CI/CD, or Azure DevOps.• Hands-on experience with Docker, Kubernetes, and Helm.• Strong experience with Terraform and Ansible.• Experience with Linux administration, Git, networking, IAM, and cloud security.• Experience with monitoring tools such as Prometheus, Grafana, ELK, or equivalent.• Strong troubleshooting, communication, stakeholder management, and team leadership skills.Preferred Skills (Nice to Have)• Python scripting experience.• Cloud / Kubernetes / Terraform certifications.• Experience with SRE, observability, high-availability architecture, and cloud cost optimization.