Senior Software Engineer, Site Reliability Engineering, Gemini

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 large-scale distributed systems.
• 2 years of experience leading projects and providing technical leadership.
  
  

Preferred qualifications:

• Master's degree in Computer Science or Engineering.
• 3 years of experience designing, analyzing, and troubleshooting distributed systems.
• 3 years of experience in leading projects.
• Experience with LLMs, generative AI, generative AI agents, multimodal ML.
  
  

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.

Gemini SRE is responsible for machine learning services and the cutting-edge LLM system Gemini. You will strive to make sure that the services that provide the best search quality and relevance for real world users are reliable, fast, and manageable. We work closely with development partners to roll out the latest in ML/LLM technologies to a wide range of users and products, and we help with the implementation of the platforms that power agentic capabilities for the Gemini app and major product areas across Google.

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

• Prioritize understanding and meeting the needs of real users, especially emerging users, by focusing on delivering what they need.
• Improve the efficiency of services by optimizing resource allocation and achieving more with fewer resources.
• Break down large, complex systems into manageable, sensibly-sized components, determining when and how to do this.
  
  
  

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 .