Position: Senior DevOps Engineer

Experience: 6+ Years

Location: Remote / Hybrid (India)

Employment Type: Full-Time

Shift Timing: Afternoon / Evening Shift (India), with availability to support US EST hours, particularly 2:00–3:00 PM EST

Preferred Certifications: Google Cloud Professional Cloud DevOps Engineer, Certified Kubernetes Administrator (CKA)

Job Summary

We are looking for an experienced Senior DevOps Engineer with 6+ years of hands-on experience in cloud infrastructure, CI/CD automation, Kubernetes, and Infrastructure as Code (IaC).

The ideal candidate should have strong expertise in Google Cloud Platform (GCP), Kubernetes, ArgoCD, Terraform, and CI/CD pipelines, with the ability to independently manage cloud infrastructure, automate deployments, troubleshoot production issues, and ensure platform reliability.

The candidate must be comfortable working in an afternoon/evening shift to collaborate with US-based teams and provide production support during EST business hours.

Key Responsibilities

1. Cloud Infrastructure Management

- Design, provision, manage, and optimize cloud infrastructure, primarily on Google Cloud Platform (GCP).
- - Manage GCP services including GKE, Compute Engine, Cloud Run, Cloud Storage, IAM, VPC, Cloud SQL, and Artifact Registry.
- - Ensure infrastructure availability, scalability, security, and cost optimization.
- - Implement cloud security best practices, IAM policies, and network security controls.

2. CI/CD and Deployment Automation

- Design, implement, and maintain automated CI/CD pipelines using tools such as Google Cloud Build, Jenkins, and GitHub Actions.
- - Implement and manage GitOps-based deployments using ArgoCD.
- - Automate application builds, testing, deployment, and rollback processes.
- - Manage deployment strategies such as rolling updates, blue-green deployments, and canary releases.
- - Improve deployment reliability, release quality, and overall delivery efficiency.

3. Kubernetes and Container Orchestration

- Manage production-grade Kubernetes clusters, preferably Google Kubernetes Engine (GKE).
- - Work with Docker, Helm, Kubernetes manifests, and deployment configurations.
- - Configure Kubernetes networking, ingress, autoscaling,



resource management, and RBAC.
- - Troubleshoot Kubernetes workloads, pods, networking, and deployment failures.
- - Implement Kubernetes security, monitoring, backup, and disaster recovery practices.

4. Infrastructure as Code (IaC)

- Develop and maintain reusable Terraform modules for cloud infrastructure provisioning.
- - Manage infrastructure across multiple environments, including Development, QA, UAT, and Production.
- - Implement Terraform state management, version control, and infrastructure change governance.
- - Automate infrastructure provisioning and configuration management.

5. Monitoring, Reliability, and Production Support

- Implement centralized logging, monitoring, and alerting using Google Cloud Monitoring, Cloud Logging, Prometheus, Grafana, or similar tools.
- - Proactively identify and resolve infrastructure and application performance issues.
- - Troubleshoot production incidents, perform root cause analysis (RCA), and implement preventive measures.
- - Ensure infrastructure reliability through backup, disaster recovery, and high-availability practices.
- - Collaborate with development and QA teams to improve application stability and deployment processes.

6. Security and DevSecOps

- Integrate security scanning into CI/CD pipelines using tools such as SonarQube, Snyk, Trivy, or similar.
- - Implement secrets management, service account security, and workload identity.
- - Manage vulnerability remediation, container security, and infrastructure compliance.
- - Follow security best practices for cloud infrastructure and Kubernetes environments.

Required Skills and Qualifications

- 6+ years of experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering.
- - Strong hands-on experience with Google Cloud Platform (GCP).




- - Proven experience managing production Kubernetes environments, preferably GKE.
- - Strong expertise in CI/CD automation using Jenkins, GitHub Actions, or Google Cloud Build.
- - Hands-on experience implementing ArgoCD and GitOps workflows.
- - Strong proficiency in Terraform and Infrastructure as Code.
- - Experience with Docker, Helm, Git, and Linux administration.
- - Knowledge of cloud networking, IAM, load balancing, and infrastructure security.
- - Experience with monitoring, logging, incident management, and production troubleshooting.
- - Scripting experience using Bash or Python.
- - Strong analytical, troubleshooting, and problem-solving skills.
- - Ability to independently own infrastructure tasks, production incidents, and deployment activities.
- - Good communication skills and experience collaborating with distributed teams.

Preferred Certifications The following certifications will be considered an added advantage:

- Google Cloud Professional Cloud DevOps Engineer – Highly Preferred
- - Google Cloud Skilled Cloud Architect
- - Certified Kubernetes Administrator (CKA) – Highly Preferred
- - Certified Kubernetes Application Developer (CKAD)
- - HashiCorp Certified: Terraform Associate

Working Hours and Shift Requirements

- Must be willing to work in an afternoon/evening shift aligned with US Eastern Time.
- - Must be available during 2:00–3:00 PM US Eastern Time for team collaboration, deployment coordination, and production support.
- - Should be flexible to provide support during critical production incidents and planned releases.
- - Experience working with US-based clients and distributed engineering teams is preferred.

Ideal Candidate

We are looking for a hands-on DevOps professional who can independently manage and improve cloud infrastructure, establish reliable CI/CD and GitOps practices, proactively address production issues, and take end-to-end ownership of infrastructure reliability and deployment automation.

The candidate should be comfortable working in a fast-paced engineering environment, collaborating across teams, and driving continuous improvements in automation, security, and operational efficiency.

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