Senior Staff Software Engineer, Site Reliability Engineering, Workspace AI

engineeringjobs.net, Inc.; Sunnyvale (CA); On-site; USD 200,000 - 280,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

engineeringjobs.net, Inc. seeks an experienced software architect to own the architecture and design of scalable AI inference and training infrastructure.

You will partner with development teams and tech leads to deliver cost-effective, high-performance systems for production use. You will lead incident response and blameless postmortems, promote AI-first development, and collaborate with SRE leaders across Google to implement scalable solutions.

Qualifications

• Requires a bachelor's degree in computer science, a related field, or equivalent practical experience; at least eight years of software development experience; four years leading projects and providing technical leadership; and three years designing, analyzing, and troubleshooting distributed systems. Experience with machine learning or AI in a software development environment is required, while a master's degree in computer science or engineering is preferred.

Responsibilities

• Own the architecture and design of reliable, scalable, cost-effective, and performant AI inference and training infrastructure, partnering with development teams and technical leads.
• Lead production incident response and blameless postmortems, promote AI-first development, and collaborate with SRE leaders across Google to share scalable solutions.

Skills

Software Development

Technical Leadership

Distributed Systems

Machine Learning

Artificial Intelligence

Site Reliability Engineering

AI Infrastructure

Inference Infrastructure

Training Infrastructure

System Architecture

Large-Scale System Design

Incident Response

Blameless Postmortems

Automation

Scalability

Performance Optimization

Education

Bachelor's degree in computer science, related field, or equivalent practical experience

Master's degree in computer science or engineering preferred

Job description

Own the architecture and design of reliable, scalable, cost-effective, and performant AI inference and training infrastructure, partnering with development teams and technical leads. Lead production incident response and blameless postmortems, promote AI-first development, and collaborate with SRE leaders across Google to share scalable solutions.

Requirements

Requires a bachelor's degree in computer science, a related field, or equivalent practical experience; at least eight years of software development experience; four years leading projects and providing technical leadership; and three years designing, analyzing, and troubleshooting distributed systems. Experience with machine learning or AI in a software development environment is required, while a master's degree in computer science or engineering is preferred.

Key Skills

Software Development, Technical Leadership, Distributed Systems, Machine Learning, Artificial Intelligence, Site Reliability Engineering, AI Infrastructure, Inference Infrastructure, Training Infrastructure, System Architecture, Large-Scale System Design, Incident Response, Blameless Postmortems, Automation, Scalability, Performance Optimization

Benefits

Bonus, Equity, Benefits