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)