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.
- 3 years of experience in designing, analyzing, and troubleshooting distributed systems.
- 2 years of experience leading projects and providing technical leadership.
Preferred qualifications:
- Master's degree in Computer Science or Engineering.
- Experience in problem-solving and analyzing global scale distributed systems.
- Experience in one or more of the following: Kotlin, Java, Python, Go, and eager to learn new technologies and languages.
- Experience in algorithms, data structures, complexity analysis and software design or experience in performance and application issues.
- Ability to troubleshoot complex, foreign systems from first principles, with a focus on technical deep-diving into code bases, applications and storage systems.
- Passionate for AI and awareness of emerging tools, market trends, and strategic opportunities within the AI landscape.
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.
Drive the future of site reliability by designing and implementing an autonomous AI system that analyzes production alerts, investigates incidents, and intelligently executes actions to automatically resolve routine events, thereby shifting our focus to next-generation development.
Represent and protect the user experience of Google's advertising users and help grow the advertisers that partner with us by particularly focusing on the reliability and efficiency of the systems under our care.
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.
- Employ AI techniques to scale impact by 10x, revolutionizing our Developer Velocity, Reinforce System Reliability, and Maximize Machine Resource Efficiency.
- Deliver on near and long-term high priority projects separately from inception to completion, requiring minimal supervision.
- Collaborate across teams, sharing expertise in building tools and solutions for system configuration, maintenance, and scaling. Improve Service Level Objectives (SLOs), monitoring, and production health compliance of critical Buying Platform systems.
- Apply SRE principles of reliability, predictability, convergence, and efficiency to proactively identify and solve issues and provide on-call coverage for key Buying Platform systems/flows.
- Participate in activities such production and design reviews, post mortem reviews, Disaster Recovery Testing (DiRT) and serve as a reliability expert, providing guidance and support to our partner engineering teams.
