Engage in and improve the whole lifecycle of services—from inception and design, through to deployment, operation and refinement.
Support services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning and launch reviews.
Maintain services once they are live by measuring and monitoring availability, latency and overall system health.
Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
Practice sustainable incident response and blameless postmortems.
Minimum qualifications
Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
8 years of experience with software development in one or more programming languages.
3 years of experience leading projects.
3 years of experience designing, analyzing, and troubleshooting distributed systems.
Preferred qualifications
Master's degree in Computer Science or Engineering.
Experience administering, debugging, and scaling Kubernetes clusters in complex, enterprise production environments.
Experience applying core SRE principles—such as defining SLIs/SLOs, driving down toil, and performing root cause analysis—to distributed systems.
Experience configuring and using modern monitoring and logging stacks (e.g., Prometheus, Grafana, Loki, Alertmanager).
Proficiency in Golang or Python to build custom horizontal tooling, infrastructure controllers, and operational automation.
Strong foundation in Linux/UNIX internals and core networking concepts (e.g., TCP/IP, routing, load balancing, SDN).
Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
8 years of experience with software development in one or more programming languages.
3 years of experience leading projects.
3 years of experience designing, analyzing, and troubleshooting distributed systems.
