Software Engineer, Network Automation Repairs

Google • Sunnyvale, CA

1d

About The Position

Platforms Infrastructure Engineering (PIE) operates within the Google Cloud umbrella. We provide the infrastructure on which Google runs - both internally (Ads, YouTube, etc.), and externally (Google Cloud). Large-scale machine learning (ML) training requires a huge infrastructure footprint (spanning thousands of machines and even datacenters), all of which is connected by a equally large and dense networking infrastructure. Join us to directly enable this next generation of Google's ML/Supercomputer infrastructure. Our mission is to find ways to increase availability, reduce risk to production traffic, and more efficiently operate ML hardware over its lifecycle. We are on the critical path of delivering new ML infrastructure, while also helping save infrastructure costs. We are building key software components in making Cloud and ML infrastructure reliable, highly available, and cheap for Google's internal and external customers. The US base salary range for this full-time position is $141,000-$202,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google [https://careers.google.com/benefits/].

Requirements

• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience coding in C++.
• 1 year of experience working with SQL.
• 1 year of experience with distributed processing.

Nice To Haves

• Master's degree or PhD in Computer Science or a related technical field.
• 2 years of experience working with SQL Pipelines.
• 2 years of experience working with scripts.

Responsibilities

• Work on projects critical to Google’s needs, being versatile and independent, implement solutions to problems across the whole repair stack.
• Acquire domain knowledge about networking devices, new network topologies (how they fail, what the blast radii are), and apply this knowledge to improve the availability of the fleet at the scale of Google.
• Manage project priorities, deadlines, and deliverables. Design, develop, test, deploy, maintain, and enhance software solutions.
• Collaborate with internal and external partner teams to plan and execute the engineering programs.
• Improve the quality of engineering work in the team, bringing up and contributing quality-of-life improvements to our tech stack.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level