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 contemporary incident management practices.

- Pluses: Experience in banking/financial domains, high-scale distributed systems, and cloud security/compliance

📌 Lead Site Reliability Engineer (SRE) (Guwahati)
🏢 SKILLVENTORY
📍 Guwahati