Informacje o stanowisku

Senior Software Engineer, Site Reliability Engineering

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Minimum Qualifications:

• 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:

• Masters degree in Computer Science or Engineering, or a related field.

About the Job

Site Reliability Engineering (SRE) combines software and systems engineering to build and run large-scale, massively distributed, fault-tolerant systems. SRE ensures that Google Clouds services—both our internally critical and our externally-visible systems—have reliability, uptime appropriate to customers needs and a fast rate of improvement. Additionally, SREs will keep an ever-watchful eye on our systems capacity and performance.

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 unique to Google Cloud, while using your expertise in coding, algorithms, complexity analysis, and large-scale system design. SREs culture of diversity, 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.

Responsibilities

• 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.

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