Staff Software Engineer, Site Reliability Engineering, Google Cloud
AI Summary ✨
Requirements:
Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
8 years of experience with data structures or algorithms.
5 years of experience with software development in one or more programming languages.
3 years of experience leading projects and designing, analyzing, and troubleshooting distributed systems.
Nice to Haves:
Experience working in computing, distributed systems, storage, or networking.
Experience in designing, analyzing, and troubleshooting distributed systems.
Ability to debug, optimize code, and to automate routine tasks.
Excellent problem-solving approach, coupled with verbal and written communication skills.
What You'll Be Doing:
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 incident response and postmortems.
Perks and Benefits:
Remote eligible position
Opportunity to work on large-scale, fault-tolerant systems in Google Cloud
Culture of intellectual curiosity, problem-solving, and openness