Senior Software Engineer, Data Infrastructure, Workspace

Google • Sunnyvale, CA

14h • $174,000 - $252,000

About The Position

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

Gmail is amongst the most actively used, trusted, and loved products on the Internet. With ~3 billion users it is a profound responsibility to ensure Gmail remains trusted: private, secure, and safe. Reducing various abuses (spam, phishing, malware) on Gmail is a Workspace-level Objective and Key Results (OKR) with very high visibility. We are additionally in the critical path for Workspace GenAI safety.

AI will change the future of work in profound ways, and our products— Gmail, Docs, Drive, Calendar, Sheets, Vids and Meet are at the forefront. From pre-computed summaries for email threads, summaries for meetings, and videos created from a document using lifelike AI avatars, our AI opportunity is huge. Our mission is to meaningfully connect people so they can create, build, and grow together and as part of the team you can build how productivity tools should work 5-10 years into the future. You will work with model builders (Google DeepMind), work with exceptional leaders, and have the ability to impact billions of users across the world.

The US base salary range for this full-time position is $174,000-$252,000 + 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.
• 5 years of experience with software development in one or more programming languages (e.g., C++ or Go).
• 3 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
• Experience leveraging data-driven insights from metrics to inform decisions and manage product or process improvements.
• Experience building and architecting production-grade Machine Learning (ML) infrastructure.
• Experience designing and implementing scalable data storage solutions.

Nice To Haves

• Master's degree or PhD in Computer Science, or a related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience in leading projects, guiding other team members, and representing the team independently.
• Excellent mentorship and communication skills.

Responsibilities

• Write and test product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Build production-ready ML data and metrics systems that are both high-performing and scalable.
• Transform ML systems to a high level of infrastructure maturity to support highly refreshed and reliable models.
• Improve signals and feature systems to enable fast experimentation and adoption of new signals/features.

What This Job Offers

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