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.
Preferred qualifications:
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:
Google is proud to be an equal opportunity and affirmative action employer.
Committed to building a workforce that is representative of the users we serve, creating a culture of belonging.
Providing an equal employment opportunity regardless of various factors.
Opportunity for self-direction, support, and mentorship to learn and grow.