Opis oferty:

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Cloud's services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customer's needs and a fast rate of improvement. Much of our software development focuses on optimizing existing systems, building infrastructure, and eliminating work through automation. On the SRE team, you’ll have the opportunity to manage the complex challenges of scale which are unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis, and large-scale system design. SRE's culture of intellectual curiosity, problem-solving, and openness is key to its success. Our organization brings together people with a wide variety of backgrounds, experiences, and perspectives. We encourage them to collaborate, think big, and take risks in a blame-free environment. We promote self-direction to work on meaningful projects, while we also strive to create an environment that provides the support and mentorship needed to learn and grow. Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

Wymagania:

• 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.
• 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 tasks.
• Excellent communication and problem-solving skills.

Dodatki i korzyści:

• Engage in and improve the whole life-cycle 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 through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Practice sustainable incident response and blameless postmortems.