DevOps Engineer

7 days ago


Mumbai, Maharashtra, India Data Safeguard Inc. Full time ₹ 15,00,000 - ₹ 25,00,000 per year

We are seeking a DevOps Cloud Engineer with expertise across GCP, AWS, and Azure to join our growing Engineering team. You will be responsible for automating infrastructure, managing CI/CD pipelines, and ensuring high availability and security of cloud deployments across platforms.

Responsibilities:-


•Design and implement automated CI/CD pipelines for cloud-native applications.


•Manage and optimize infrastructure across AWS, GCP, and Azure using Terraform, Ansible, and CloudFormation.


•Configure, deploy, and monitor Kubernetes clusters (GKE, EKS, or AKS).


•Streamline deployments via Jenkins, Git, GitHub Actions, or Azure DevOps.


•Ensure security, scalability, and disaster recovery readiness for multi-cloud infrastructure.


•Collaborate with software and product teams to deploy services rapidly and reliably.


•Monitor system health and performance, using tools like Prometheus, Grafana, CloudWatch, and Azure Monitor.


•Maintain infrastructure documentation, architecture blueprints, and implementation playbooks.


•Apply best practices for data security, compliance, and SSO integration.

Qualifications:-


•Bachelor's Degree in Computer Science, IT, or equivalent.


•5+ years of DevOps/Cloud Engineering experience.


•Hands-on experience in AWS, GCP, and basic Azure environments.


•Strong scripting knowledge (Bash, Python, or PowerShell).


•Experience in IaC tools: Terraform, Ansible, CloudFormation.


•Experience with Kubernetes, Docker, and microservice deployment practices.


•Proficiency in CI/CD setup and pipeline management.


•Exposure to networking, monitoring, data center management, and hybrid cloud setups.

Preferred:-



Azure certification (AZ-104 / AZ-400), AWS/GCP certifications are a plus.



Exposure to cloud VPNs, SOPHOS firewall, or hybrid security.



Strong troubleshooting and incident management abilities.


•Understanding of backup strategies, cost optimization, and resource monitoring.


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