Job Title: Sr. DevOps Engineer

Location: Hyderabad Ahmedabad

Employment Type: Full-Time

Work Model - 3 Days from office

Job Overview

Energetic, motivated individuals deliver exceptional solutions for the production resiliency of the systems. The role incorporates aspects of software engineering and operations, DevOps skills to come up with efficient ways of managing and operating applications. The role will require a high level of responsibility and accountability to deliver technical solutions.

Summary:

The Senior DevOps Engineer is responsible for designing and managing robust, scalable CI/CD pipelines, automating infrastructure with Terraform, and improving deployment efficiency across GCP-hosted environments

Experience Required:

3-5 years in DevOps engineering roles with proven expertise in CI/CD, infrastructure automation, and Kubernetes.

Mandatory:

- OS: Linux
- Cloud: GCP (Compute Engine, Load Balancing, GKE, IAM)
- CI/CD: Jenkins, GitHub Actions, Argo CD
- Containers: Docker, Kubernetes
- IaC: Terraform, Helm
- Monitoring: Prometheus, Grafana, ELK
- Security: Vault, Trivy, OWASP concepts

Nice to Have
- Service Mesh (Istio), Pub/Sub, API Gateway Kong
- Advanced scripting (Python, Bash, Node.js)




- Skywalking, Rancher, Jira, Freshservice

Scope:
- Own CI/CD strategy and configuration
- Implement DevSecOps practices
- Drive automation-first culture

Roles and Responsibilities:
- Design and implement end-to-end CI/CD pipelines using Jenkins, GitHub Actions, and Argo CD for production-grade deployments.
- Define branching strategies and workflow templates for development teams.
- Automate infrastructure provisioning using Terraform, Helm, and Kubernetes manifests across multiple environments.
- Implement and maintain container orchestration strategies on GKE, including Helm-based deployments.
- Manage secrets lifecycle using Vault and integrate with CI/CD for secure deployments.
- Integrate DevSecOps tools like Trivy, SonarQube, and JFrog into CI/CD workflows.
- Collaborate with engineering leads to review deployment readiness and ensure quality gates are met.
- Monitor infrastructure health and capacity planning using Prometheus, Grafana, and Datadog; implement alerting rules.
- Implement auto-scaling, self-healing, and other resilience strategies in Kubernetes.

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