Chess.com is one of the largest gaming sites in the world, and they are seeking a Site Reliability Engineer to ensure the stability, performance, and scalability of their global gaming platform infrastructure. The role involves bridging development and operations, maintaining high availability for millions of users while driving technical infrastructure decisions to enhance user experience and platform reliability.
Responsibilities:
- Design and implement multi-regional resilient infrastructure capable of handling millions of concurrent sessions and transactions daily across global data centers
- Lead the hybrid cloud migration strategy, integrating bare-metal datacenter resources with cloud services for optimal performance and cost efficiency
- Own the on-call rotation and incident response procedures, ensuring rapid resolution of critical system issues and maintaining high availability SLAs
- Architect monitoring and alerting systems using industry-standard tools to proactively identify and resolve performance bottlenecks before they impact users
- Collaborate with development teams to implement infrastructure-as-code practices and establish deployment pipelines that support continuous integration and delivery
- Optimize system performance through capacity planning, load testing, and resource allocation across distributed computing environments
- Establish and maintain security protocols and risk assessment procedures for infrastructure components and data protection
- Partner with engineering teams to design scalable solutions for high-traffic applications and real-time processing requirements
- Drive automation initiatives to reduce manual operational overhead and improve system reliability through scripting and configuration management
- Mentor team members on SRE best practices and contribute to the development of infrastructure standards and documentation
Requirements:
- Design and implement multi-regional resilient infrastructure capable of handling millions of concurrent sessions and transactions daily across global data centers
- Lead the hybrid cloud migration strategy, integrating bare-metal datacenter resources with cloud services for optimal performance and cost efficiency
- Own the on-call rotation and incident response procedures, ensuring rapid resolution of critical system issues and maintaining high availability SLAs
- Architect monitoring and alerting systems using industry-standard tools to proactively identify and resolve performance bottlenecks before they impact users
- Collaborate with development teams to implement infrastructure-as-code practices and establish deployment pipelines that support continuous integration and delivery
- Optimize system performance through capacity planning, load testing, and resource allocation across distributed computing environments
- Establish and maintain security protocols and risk assessment procedures for infrastructure components and data protection
- Partner with engineering teams to design scalable solutions for high-traffic applications and real-time processing requirements
- Drive automation initiatives to reduce manual operational overhead and improve system reliability through scripting and configuration management
- Mentor team members on SRE best practices and contribute to the development of infrastructure standards and documentation
- Bachelor's degree in Computer Science, Engineering, or related technical field, or equivalent practical experience
- 5+ years of experience in site reliability engineering, DevOps, or infrastructure engineering roles
- Experience managing bare-metal server infrastructure and datacenter operations
- Strong proficiency with UNIX/Linux operating systems and command-line administration
- Experience with cloud platforms (GCP, AWS, or Azure) and infrastructure-as-code tools (Terraform, CloudFormation, or similar)
- Hands-on experience with configuration management systems (Ansible, Chef, Puppet, or similar)
- Solid understanding of networking fundamentals, protocols (TCP/IP, HTTP/HTTPS, DNS), and network troubleshooting
- Experience with containerization and orchestration technologies (Docker, Kubernetes, or similar)
- Proficiency with monitoring and observability tools (Datadog, Prometheus, Grafana, ELK stack, or similar)
- Experience with relational and NoSQL databases, including performance optimization and scaling strategies
- Strong collaboration and communication skills for working effectively in a distributed team environment
- Demonstrated sense of ownership and accountability for system reliability and performance