Senior DevOps Engineer in Risk

Integrators Services a.s. is seeking a Senior DevOps Engineer to support Deutsche Börse’s financial risk systems. The role maintains and improves GCP and Kubernetes/OpenShift infrastructure, GitOps delivery, CI/CD automation, reliability, and observability.

Responsibilities:

• Cloud Platform Engineer: Build and support resilient, secure, and scalable enterprise-grade infrastructure across Google Cloud Platform (GCP)
• GitOps & Delivery Automation: Build and standardize declarative GitOps workflows using ArgoCD and robust, secure CI/CD pipelines via GitHub Actions
• Kubernetes & Container Orchestration: Manage Google Kubernetes Engine (GKE) clusters, ensuring optimal performance, service mesh reliability, and automated lifecycle management. Deliver deployment to a production OpenShift cluster and provide support
• Infrastructure as Code (IaC): Treat everything as code - author and maintain modular, reproducible infrastructure and configuration using Terraform and modern configuration management
• High Availability & Zero Downtime: Ensure maximum resilience, fault tolerance, multi-zone/multi-region disaster recovery, and continuous delivery for 24/7 financial risk systems
• Observability & Reliability: support monitoring topics (metrics, logs, traces) using Prometheus, Grafana, OpenTelemetry, and GCP Cloud Operations
• Collaboration: Collaborate closely with developers, platform teams, architects, and security specialists

Requirements:

• Fluent English and Czech
• Deep, hands-on architectural and operational expertise across the GCP ecosystem (IAM, VPC, Compute Engine, GKE, Secret Manager etc.) backed by multiple years of production experience
• Proven track record implementing declarative GitOps pipelines with ArgoCD and building 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 understanding and active adoption of modern AI/GenAI technologies
• Strong proficiency in Linux fundamentals, systems engineering, and automation scripting (Python, Bash, or Go)
• Demonstrated experience architecting and operating mission-critical systems with strict SLAs, low latency, and zero-downtime requirements
• Relevant GCP certifications (e.g., Google Cloud Professional Cloud Architect, Google Cloud Professional Cloud DevOps Engineer)
• Experience with Service Mesh architecture (Istio / Anthos Service Mesh) and zero-trust security models
• Familiarity with modern observability frameworks, ideally with Grafana Cloud
• Prior exposure to financial market infrastructure, trading/clearing platforms, or quantitative risk management systems