F1 Racing Jobs in California (NOW HIRING)

Minimum qualifications:

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
• 8 years of experience building and developing infrastructure or distributed systems.
• 5 years of experience programming in C or Go.
• 5 years of experience with reliability or quality engineering.
• 5 years of experience working in distributed systems and distributed computing.
• Experience with cross-functional collaboration and stakeholder management.

Preferred qualifications:

• Master's degree in Computer Science or a related technical field.
• Experience in a Site Reliability Engineering role.
• Experience in designing, analyzing and troubleshooting large-scale distributed systems.
• Experience with database systems, query language design, and optimization.
• Ability to create clean and scalable designs.
• Ability to apply a systematic problem-solving approach, with excellent communication skills and a sense of ownership and motivation.

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'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.
F1 Query is a team under AI Foundations organization. F1 Query is a planet-scale high-performance distributed GoogleSQL-compliant federated query engine. It supports querying nearly any type of data source in common use at Google. F1 Query powers over 400 production systems across Ads, Finance, Play, Cloud, YouTube, Google DeepMind and Enterprise AI, and helps users address various ad-hoc and low-latency data processing, serving, investigative, and batch use cases.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $301000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities

• Identify opportunities, and design and lead the implementation of solutions to enhance the reliability of systems that support F1.
• Scale systems sustainably through mechanisms like automation, and evolve systems by pushing for changes that improve reliability and velocity.
• Collaborate across multiple teams to provide in-team leadership for Product Area and to drive the adoption of solutions that improve reliability for multiple teams.
• Engage in software engineering on services written in Java, C , and Go (including instrumenting client software development kita (SDKs), server-side performance changes, capacity planning, experiments, monitoring, and more), and performance enhancement of existing systems.
• Advise and influence our developer partners on next-generation architecture and implementation for new systems.

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