DevOps Engineer (GCP | Kubernetes) – Mid Level

We are looking for a hands-on DevOps Engineer to join a high-scale infrastructure team.

In this role, you will design, deploy, and operate highly available, large-scale systems supporting real-time data pipelines processing billions of events daily.

This is a production-focused role with real impact, ideal for someone passionate about distributed systems, performance, and reliability at scale.

Responsibilities

Infrastructure & Cloud

• Design, deploy, and manage cloud infrastructure (GCP)
• Own and optimize Kubernetes environments (GKE)
• Implement infrastructure-as-code (Terraform or similar)

Observability & Monitoring

• Build and maintain monitoring systems (Prometheus, Grafana)
• Define SLAs/SLOs and alerting strategies
• Lead incident response and post-mortem processes

Data & Infrastructure

• Design and maintain large-scale time-series databases
• Optimize performance, storage, and query efficiency
• Support real-time data pipelines and observability systems

Performance & Reliability

• Troubleshoot large-scale production systems
• Optimize performance and resource utilization
• Drive reliability practices (load testing, resilience, fault tolerance)

Collaboration

• Work closely with engineering teams on DevOps best practices
• Contribute to documentation, runbooks, and knowledge sharing

Requirements

Must Have

• Strong hands-on experience with Google Cloud Platform (GCP)
• Production experience with Kubernetes (GKE)
• Experience with Prometheus monitoring (PromQL, alerting, HA setups)
• Deep understanding of distributed systems
• Experience with large-scale time-series databases
• Strong troubleshooting and performance optimization skills

Nice to Have

• Experience with Thanos / Cortex / VictoriaMetrics
• Familiarity with real-time, high-scale systems
• Experience with GitOps workflows
• Scripting skills (Python / Bash)