Cloud Engineer

is one of the largest gaming sites in the world and the #1 platform for playing, learning, and enjoying chess.

We are a team of 600+ fully remote people in 60+ countries working hard to serve the global chess community. We are here to support 250M+ chess players worldwide with the best possible product, content, and tools to serve the community!

We are a tech company. A gaming company. A content company. And we do it all with passion and commitment to the game. Above all we prize our mission-driven, flat, life-celebrating, no-corporate culture, and we look forward to meeting you and learning more about what you can bring to the team.

The Cloud Engineer role is critical to scaling ’s infrastructure to support millions of daily chess games and serve global users. This position combines site reliability engineering expertise with cloud infrastructure management, directly impacting system performance, reliability, and scalability across ’s multi-regional distributed architecture. The role requires deep technical expertise in both infrastructure automation and application optimization to maintain ’s position as a high-traffic gaming platform while enabling rapid feature development and deployment.

• Architect and optimize cloud-native infrastructure using Kubernetes, Terraform, and Git Ops tools to support millions of concurrent chess games across multiple global regions
• Lead performance optimization initiatives by analyzing Golang and Type Script codebases to identify and resolve bottlenecks at scale, with specific focus on chess programming optimizations
• Design and implement multi-regional resilient systems capable of handling extreme scale challenges including managing 1 million+ CPUs across dozens of regions
• Run and evolve our private Kubernetes cloud on bare-metal: a Rancher-managed fleet in our own datacenters that carries compute and IO intensive workloads, operated as one platform with GKE regions, with workloads placed wherever they get the best cost and performance.
• Execute incident response and operational excellence serving as primary technical resource for critical infrastructure issues, ensuring rapid resolution and minimal downtime
• Develop high-performance integration patterns for distributed systems handling extensive data volumes while maintaining reliability and scalability targets
• Collaborate with development teams to implement cloud service integration best practices and optimize application deployment architectures
• Implement Infrastructure as Code practices using Terraform to manage all cloud resources, ensuring consistent, automated, and scalable deployment processes
• Build and maintain CI/CD pipelines with Git Ops approaches using tools like ArgoCD to enable rapid, reliable software delivery
• Monitor and enhance system observability through implementation of modern monitoring stacks including Prometheus, Mimir, ES, Vector and Tempo

• 7+ years of experience managing large-scale, cloud-native distributed systems with proven ability to handle high-traffic production environments
• Expert-level proficiency with Kubernetes including cluster deployment, management, and advanced orchestration patterns
• Advanced Infrastructure as Code experience with Terraform for managing complex cloud and Kubernetes resources in production
• Strong programming skills in Golang with demonstrated ability to optimize high-performance services and troubleshoot complex codebases
• Deep understanding of distributed systems design including failure modes, architectural principles, and data modeling strategies
• Extensive experience with major cloud platforms (GCP, AWS) including advanced services, networking, and cost optimization
• Proficiency with Git Ops and…