Senior Staff Systems Engineer, Site Reliability Engineering

Senior Staff Systems Engineer, Site Reliability Engineering Get AI-powered advice on this job and more exclusive features. Minimum qualifications Bachelor’s degree in Computer Science, a related field, or equivalent practical experience. 8 years of experience with programming in one or more programming languages. 4 years of experience leading projects. 3 years of experience building and developing large‑scale infrastructure or distributed systems. Preferred qualifications Master's degree in Computer Science or Engineering. Experience with Machine Learning Infrastructure. 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 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. 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. Responsibilities Lead the design and implementation of Artificial Intelligence (AI)-powered systems, with a focus on reliability, scalability, and efficiency. Lead and influence cross‑organisational collaborations, ensuring adherence to product goals and initiatives to move work forward. Drive technical discussions and decision‑making within the team and across the organisation. Provide guidance to other team members on managing availability and performance of mission‑critical services, building automation to prevent problem recurrence, and building automated responses for non‑exceptional service conditions. Mentor and train other team members on design techniques and coding standards, and to cultivate innovation and collaboration across multiple teams. Manage separate projects priorities, deadlines, and deliverables. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form. #J-18808-Ljbffr