RemoteFull timeMid levelPosted today
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Key Responsibilities
- Reliability & Operations: Own end-to-end production reliability, scalability, and performance. Establish SLIs, SLOs, SLAs, and Error Budgets while managing MTTR/MTTA through 24x7 on-call rotations and post-incident analysis.
- Cloud & Infrastructure: Design, deploy, and manage GCP resources (GKE, VPC, IAM, Load Balancers, BigQuery, Pub/Sub) using Terraform (IaC).
- Kubernetes & Containers: Deploy and troubleshoot containerized workloads on GKE using Helm, YAML, and Canary/Blue-Green deployment strategies.
- Automation & CI/CD: Build automation pipelines using Jenkins, GitHub, Python, and Shell scripting to reduce manual toil.
- Observability & Monitoring: Implement full-stack monitoring and alerting strategies using Dynatrace, Grafana, and cloud logging/metrics tools.
- Troubleshooting: Perform root-cause analysis across distributed systems, Linux/networking layers, and Java or Golang applications.
Key Requirements
- Experience: 11+ years in SRE, DevOps, or Cloud Engineering managing high-availability, 24x7 production environments.
- Cloud & Tools: Strong hands-on experience with GCP, GKE, and Infrastructure as Code using Terraform.
- CI/CD & Scripting: Proficiency in Jenkins pipeline creation, GitHub, Python, and Shell scripting.
- Observability: Experience using Dynatrace, Grafana, or Prometheus for log, metric, and trace analysis.
- Systems & Networking: Strong Linux system administration skills, TCP/IP networking fundamentals, and experience debugging Java/Golang microservices.
- SRE Concepts: Solid understanding of SLIs/SLOs, Error Budgets, and modern incident management practices.
- Pluses: Experience in banking/financial domains, high-scale distributed systems, and cloud security/compliance
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