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DevOps Engineer
Chennai · Senior
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First 72 hours
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Job description
As a DevOps Engineer, you will be responsible for managing cloud-native infrastructure, supporting CI/CD pipelines, and ensuring system reliability and scalability. You will automate deployment processes, maintain server environments, monitor performance, and collaborate with development and QA teams across the product lifecycle.
- Design and manage scalable, cloud-native infrastructure using GCP, Kubernetes, and Argo CD.
- Implement observability and monitoring tools (ELK, Prometheus, Grafana) for complete system visibility.
- Enable real-time data pipelines using Apache Kafka and GCP DataProc.
- Automate CI/CD pipelines using GitHub Actions with GitOps best practices.
- Build, manage, and monitor Kubernetes (GKE) clusters and containerized workloads with Argo CD.
- Design and maintain CI/CD pipelines using GitHub Actions + GitOps.
- Configure and manage real-time streaming pipelines with Apache Kafka and GCP DataProc.
- Manage logging/observability infrastructure with Elasticsearch, Logstash, and Kibana (ELK stack).
- Secure and optimize GCP services including Artifact Registry, Compute Engine, Cloud Storage, VPC, and IAM.
- Implement caching and session stores using Redis for scalability.
- Monitor system health, availability, and performance with Prometheus, Grafana, ELK.
- Collaborate with engineering and QA teams to streamline deployments.
- Automate infrastructure provisioning using Terraform, Bash, or Python.
- Maintain backup, failover, and disaster recovery strategies for production.
- Bachelor’s degree in Computer Science, Engineering, or related technical field.
- 4–8 years’ experience in DevOps, Cloud Infrastructure, or Site Reliability Engineering.
- Strong experience with Google Cloud Platform (GCP) including GKE, IAM, VPC, Artifact Registry, and DataProc.
- Hands-on with Kubernetes, Argo CD, and GitHub Actions for CI/CD workflows.
- Proficiency with Apache Kafka for real-time data streaming.
- Experience managing ELK Stack (Elasticsearch, Logstash, Kibana) in production.
- Working knowledge of Redis for distributed caching/session management.
- Skilled in scripting/automation with Bash, Python, Terraform.
- Strong understanding of containerization, infrastructure-as-code, and monitoring.
- Familiarity with cloud security, IAM policies, and compliance best practices.
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