Senior Software Engineer, Data Infrastructure, Workspace
Company: Google
Location: Sunnyvale
Posted on: April 1, 2026
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Job Description:
Minimum qualifications: 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. Preferred qualifications: 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. About
the job 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 . 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.
Keywords: Google, Vacaville , Senior Software Engineer, Data Infrastructure, Workspace, IT / Software / Systems , Sunnyvale, California
