Software Engineer, Site Reliability Engineering
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Minimum qualifications:
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- 2 years of experience with data structures/algorithms and software development in one or more programming languages such as Python, Java, C, C++ or Go.
Preferred qualifications:
- Experience working in computing, distributed systems, storage, or networking.
- Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.
- Ability to debug code and to automate routine tasks.
- Excellent problem-solving approach, along with effective communication skills.
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 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. Additionally SRE’s 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 will 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 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
- Improve the reliability, scalability and efficiency of our distributed data query engine, data warehouse and data analytics platforms.
- Improve the reliability and performance of YouTube payment and business systems.
- Propose and review designs impacting YouTube's data infrastructure.
- Advocate for reliability methodologies within YouTube Data organization, by actively engaging in postmortem reviews, Incident Management at Google (IMAG) trainings, supporting the teams during outages.
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