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September 16, 2026
Senior DevOps Engineer
Senior • Remote
Prague, Czech Republic
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Quick Facts
Role: Senior DevOps Engineer
Focus: GCP, Kubernetes/OpenShift, GitOps delivery, reliability, and observability
Description
Maintain, operate, and incrementally improve an established Google Cloud Platform (GCP) and Kubernetes/OpenShift architecture. Ensure reliable and continuously optimized GitOps delivery using ArgoCD and GitHub-based automation, backed by resilient infrastructure and 24/7 mission-critical operations.
Responsibilities
Build and support resilient, secure, scalable enterprise-grade infrastructure on GCP
Create and standardize declarative GitOps workflows with ArgoCD and secure CI/CD pipelines using GitHub Actions
Manage GKE clusters, including performance tuning, service mesh reliability, and automated lifecycle management; support production deployment to OpenShift
Implement Infrastructure as Code with Terraform and modular, reproducible configuration management
Deliver high availability with zero downtime, multi-zone/multi-region disaster recovery, and continuous delivery for 24/7 financial risk systems
Support observability (metrics, logs, traces) using Prometheus, Grafana, OpenTelemetry, and GCP Cloud Operations
Collaborate closely with developers, platform teams, architects, and security specialists
Requirements
Deep hands-on architectural and operational expertise across GCP (IAM, VPC, Compute Engine, GKE, Secret Manager, etc.) with multiple years of production experience
Proven experience implementing declarative GitOps pipelines with ArgoCD and scalable, secure delivery workflows using GitHub Actions
Strong production experience with Kubernetes (GKE preferred), container runtimes, Helm, Kustomize, and container security
Proficiency with Terraform in collaborative enterprise environments
Strong Linux fundamentals, systems engineering, and automation scripting (Python, Bash, or Go)
Demonstrated ability to architect and operate mission-critical systems with strict SLAs, low latency, and zero-downtime requirements
Strong understanding and active adoption of modern AI/GenAI technologies
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