G

Google

Runs Search and YouTube and builds Gemini AI

Staff Software Engineer - Site Reliability Engineering

Site Reliability EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, a related field, or equivalent practical experience.
  • Eight years of experience with software development in one or more programming languages.
  • Three years of experience leading projects.
  • Three years of experience designing, analyzing, and troubleshooting distributed systems.
  • Three years of experience as a Site Reliability Engineer.
  • Three years of experience with software design and architecture.

Responsibilities

  • Engage in and improve the whole lifecycle of services, from inception and design through deployment, operation, and refinement.
  • Support services before they go live through system design consulting, developing software platforms and frameworks, capacity planning, and launch reviews.
  • Maintain live services by measuring and monitoring availability, latency, and overall system health.
  • Scale systems sustainably through automation and evolve systems by implementing changes that improve reliability and velocity.
  • Practice sustainable incident response and conduct blameless postmortems.
  • Optimize existing systems, build infrastructure, and eliminate work through automation.
  • Manage scale challenges unique to Google Cloud using coding, algorithms, complexity analysis, and large-scale system design.
  • Keep systems capacity and performance under close observation.

Desired Qualifications

  • A master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • Experience driving multi-quarter technical roadmaps and influencing engineering direction across multiple partner teams without formal authority.
  • Demonstrated experience improving service reliability through SLOs/SLIs, capacity planning, and eliminating operational busy work through software engineering and automation.
  • Expertise in designing, analyzing, and troubleshooting planet-scale distributed storage, serving, or data-processing systems.
  • Expertise in AI/ML tools, including understanding their applicability, functionality, and limitations.
  • A systematic problem-solving approach, strong verbal and written communication skills, and experience mentoring engineers across distributed sites.

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size
10,001+
Company stage
IPO
Headquarters
Mountain View, CA
Founded
1998

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