Staff Site Reliability Engineer, Fastly

• The ideal candidate will have experience working with backend and data services in both cloud and physical systems; be skilled with configuration management tools such as Terraform; and be able to develop internal administration tools in Go and similar
• Significant professional experience building and maintaining at least one category of backend system, including both APIs and data stores (relational-, column-, vector-, or document-oriented) Most Staff Engineers at Fastly have more than 7 years of related experience
• Experience measuring customer-focused performance using tools like Prometheus or DataDog
• Linux system skills, including file systems, networking, I/O analysis, and general kernel tuning
• A strong grasp of networking, routing, network protocols, and related concepts
• Advanced Terraform skills, including working with modules and remote state
• Experience developing automation tools in Go and other languages, with an aptitude for learning new languages and technologies
• Experience with container technology, Kubernetes/Docker/Helm, or similar
• A collaborative mindset with experience working across cross-functional teams, fostering a culture of respect, collaboration, and knowledge sharing
• A great teammate: communicative, collaborative, empathetic with a thoughtful, customer-driven approach
• This position will require you to be available during core North American business hours and evenings and weekends as needed for on-call support. Our team's timezones span from UTC-8 (Pacific) to UTC-3

Desirable

• The Data Reliability team is looking for a talented Staff Site Reliability Engineer to help build and support the next generation of data stores for Fastly
• Our team is responsible for supporting the infrastructure, orchestration, and reliability needs of some of Fastly’s most data-intensive applications, using technologies like Terraform, Elasticsearch, ClickHouse, Prometheus, MySQL, and Redis in both cloud- and hardware-based environments
• Our systems directly contribute to our customers' success by providing our product teams with a platform for effective and reliable delivery of high-quality, high-throughput, globally distributed data systems and products
• You will be integral to this mission. We are a distributed team, and employ a variety of styles to get our work done—though we put a high value on working collaboratively, we also rely on asynchronous communication
• Lead full lifecycle projects from design and development through roll out and maintenance
• Deploy and maintain several different types of critical data storage systems on scales from gigabytes to petabytes
• Develop statistics and dashboards to measure service-level objectives for these systems
• Maintain and create tools for management of configuration, backup, and authenticated access to data systems using peer review, CI/CD, and both daemon- and container-based deployment
• Write code that is performant, maintainable, clear, and concise and contribute to code reviews, improving the codebase and other team processes
• Technical leadership of full lifecycle projects, driving project progress and collaborating with project stakeholders - Coordinate and communicate with the team members and across other technical and cross functional teams. Foster relationships with other teams to understand and provide for end-user needs
• Help project, plan, and scale for growth
• Document processes and requirements for both intra- and cross-team knowledge transfer
• Mentor and support other engineers, fostering a culture of knowledge sharing, innovation, and collaboration within the team
• Participate in on-call rotation as needed

• Anticipated Posting Close Date*: Oct. 6, 2025
• A fully completed application and resume or CV are required when applying