Sr DevOps Engineer

3 - 8 years

5 - 10 Lacs

Posted:5 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

We are seeking a skilled and motivated Cloud DevOps Engineer with over 3 years of hands-on experience in building and maintaining scalable, reliable, and secure cloud infrastructure.
You will be part of a dynamic team that focuses on delivering robust DevOps solutions using GCP / AWS / Azure, helping streamline CI/CD pipelines, automate infrastructure provisioning, and optimize cloud-based deployments. 3+ years of hands-on experience with DevOps tools and practices in a cloud environment. Strong experience with GCP / AWS services (Compute Engine, Kubernetes Engine, Cloud Functions, Cloud Storage, VPC, etc). Any of the Professional Cloud certification is mandatory. Proficiency with CI/CD tools and version control systems (e g, Git, GitHub/GitLab, Cloud Build). Solid scripting skills in Bash, Python, or similar languages. Experience with Docker and Kubernetes (GKE / AKS preferred). Familiarity with monitoring/logging tools such as Prometheus, Grafana, and Cloud Monitoring. Knowledge of networking, security best practices, and IAM on GCP / AWS. Experience with multi-cloud or hybrid cloud environments. Familiarity with Agile and DevOps culture and practices. Experience with serverless architectures and event-driven design patterns. Knowledge of cost optimization and GCP / AWS billing. Effective communication and overseas customer handling skills. Design, implement, and manage scalable and secure infrastructure on GCP / AWS. Develop and maintain CI/CD pipelines using tools such as Cloud Build, Jenkins, GitLab CI/CD, or similar. Implement infrastructure as code (IaC) using Terraform or Pulumi. Monitor system health and performance using GCP / AWS s operations suite (formerly Stackdriver). Automate manual processes to improve system reliability and deployment frequency. Collaborate with software engineers to ensure best DevOps practices are followed in application development and deployment. Handle incident response and root cause analysis for production issues. Ensure compliance with security and governance policies on GCP / AWS. Optimize cost and resource utilization across cloud services.

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