Staff Software Engineer, Site Reliability Engineering, Vertex AI
- linkCopy link
- emailEmail a friend
Minimum qualifications:
- Bachelor’s degree in Computer Science, a related field, or equivalent practical experience.
- 8 years of experience with data structures and algorithms.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience leading projects and designing, analyzing, and troubleshooting distributed systems.
Preferred qualifications:
- Experience working in computing, distributed systems, storage, or networking.
- Ability to debug, optimize code, and to automate routine tasks.
- Excellent problem-solving, with effective verbal and written communication skills.
- Eagerness to learn and apply new technologies in the rapidly evolving AI/ML space.
- Interest to deep dive to understand root causes and complex system interactions.
- Expertise in designing, analyzing, and troubleshooting large-scale distributed systems.
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.
We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Poland: zł480000 - zł492000 (PLN) + 20% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Drive the end-to-end reliability, scalability, and performance of large-scale Models and Artificial Intelligence (AI) workloads on Vertex AI.
- Architect and operate fleet management automation to securely manage, monitor, and upgrade one of the world's largest Google Cloud Platform (GCP) and Google Kubernetes Engine (GKE) environments.
- Optimize low-latency, high-throughput AI serving infrastructure, maximizing the efficiency, observability, and availability of accelerator resources.
- Partner with development teams on system design, launch reviews, and capacity planning to evolve data and control planes before services go live.
- Scale systems sustainably through self-healing software, eliminating toil and driving architectural changes that enhance deployment velocity and customer platform resilience.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.