Site Reliability Engineer, Replit

• 4-8 years of experience in Site Reliability Engineering or similar roles (DevOps, Systems Engineering, Infrastructure Engineering)
• Strong programming skills in languages commonly used for automation (Python, Go, or similar)
• Deep understanding of distributed systems
• Experience with container orchestration platforms (Kubernetes) and cloud-native technologies
• Proven track record of implementing and maintaining monitoring/observability solutions
• Strong incident management skills with experience leading incident response
• Experience with infrastructure as code and configuration management tools
• Problem-solving mindset: Ability to approach complex operational challenges systematically and devise effective solutions
• Self-directed and autonomous: Capable of working independently while collaborating effectively with cross-functional teams
• Strong communication skills: Ability to explain complex technical concepts to both technical and non-technical audiences
• Continuous learning: Passion for staying current with industry best practices and new technologies
• Focus on automation: Strong belief in automating repetitive tasks and building self-healing systems
• We are seeking SREs who are passionate about building and maintaining resilient systems at scale

Desirable

• Join our Site Reliability Engineering team and help ensure the reliability, scalability, and performance of Replit's infrastructure that serves millions of developers worldwide
• As a Site Reliability Engineer, you will bridge the gap between development and operations, implementing automation and establishing best practices that enable our platform to scale efficiently while maintaining high availability
• Your mission will be to design and implement robust monitoring solutions, automate operational tasks, and continuously improve our infrastructure's reliability and performance
• Design and Implement Observability Solutions: Develop comprehensive monitoring and alerting systems using modern observability tools
• Create dashboards and metrics that provide real-time visibility into system health and performance
• Implement logging strategies that enable quick problem identification and resolution
• Drive Automation and Infrastructure as Code: Architect and implement infrastructure automation solutions using tools like Terraform, Ansible, or Pulumi
• Design and maintain CI/CD pipelines that enable reliable and consistent deployments
• Create self-healing systems that can automatically respond to common failure scenarios
• Establish SLOs and SLIs: Work with product and engineering teams to define and implement Service Level Objectives (SLOs) and Service Level Indicators (SLIs)
• Build systems to track and report on these metrics, ensuring we maintain high reliability standards while balancing innovation speed
• Incident Management and Response: Lead incident response efforts, conducting thorough post-mortems, and implementing improvements to prevent future occurrences
• Develop and maintain runbooks for critical services
• Build tools and processes that reduce Mean Time To Recovery (MTTR)
• Performance Optimization: Identify and resolve performance bottlenecks across our infrastructure
• Implement capacity planning strategies and optimize resource utilization
• Work on reducing latency and improving system efficiency across global regions