DevOps / Sr. DevOps Engineer

Job Description

Job Title: DevOps Engineer (Kubernetes & Terraform) Location: Noida Experience: 3 to 8 years Type: Full-time About the Role: We are looking for a DevOps Engineer with 38 years of experience who specializes in Kubernetes and Terraform. This role is ideal for someone passionate about automation, infrastructure scalability, and cloud-native technologies. You will be responsible for designing and maintaining infrastructure platforms that support continuous delivery and scalability across our development and production environments. Key Responsibilities: Design, deploy, and manage scalable and secure Kubernetes clusters in production. Develop and manage Infrastructure as Code (IaC) using Terraform to provision cloud infrastructure. Build and maintain CI/CD pipelines to automate build, test, and deployment workflows. Ensure system availability, performance, and security across all environments. Work closely with development and QA teams to enable efficient DevOps practices. Automate system provisioning, configuration, and application deployments. Monitor infrastructure using tools like Prometheus, Grafana, ELK, or similar. Implement security best practices in container orchestration and infrastructure management. Must-Have Qualifications: 3-8 years of experience in DevOps, SRE, or infrastructure engineering roles. Hands-on experience with Kubernetes (deployment patterns, Helm, RBAC, ingress controllers, etc.). Proficiency in Terraform, including module creation and state management. Strong background in at least one public cloud provider (AWS, Azure, or GCP). Experience with CI/CD tools such as Jenkins, GitLab CI, GitHub Actions, or ArgoCD. Solid Linux administration skills. Experience with containerization using Docker. Scripting skills in Bash, Python, or Go. What You'll Get: Competitive compensation and benefits. Exposure to cutting-edge DevOps tools and practices. A collaborative, remote-friendly engineering culture. Opportunities for upskilling and certifications. Involvement in end-to-end infrastructure design and decisions.