Senior Software Engineer, Site Reliability Engineering, Google Cloud
AI Summary ✨
Requirements:
Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
5 years of experience with software development in one or more programming languages.
5 years of experience with data structures or algorithms.
3 years of experience in designing, analyzing, and troubleshooting large-scale distributed systems, and 2 years of experience leading projects and providing technical leadership.
Nice to haves:
Experience working in computing, distributed systems, storage, or networking.
Experience in designing, analyzing, and troubleshooting large-scale distributed systems.
Ability to debug, optimize code, and to automate routine tasks.
Excellent problem-solving and communication skills.
What You'll Be Doing:
Engage and improve the whole lifecycle of services from inception, design, deployment, operation and refinement.
Create and help services before they go live through activities such as system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
Maintain services 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 environment.
Perks and Benefits:
Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems.
Opportunity to manage the complex challenges of scale unique to Google Cloud.
Culture of diversity, intellectual curiosity, problem-solving, and openness.