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Staff Software Engineer, Infrastructure, Network Product Ordering

Google

Sunnyvale, CAJob$207–300K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$207–300K/yr
Location
Sunnyvale, CA
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Staff Software Engineer will shape technical strategy and architecture for network product ordering and platform engineering. The role leads cross-functional projects from design through launch, mentors engineers, and collaborates across product and engineering teams. The Network Demand Generation team builds automated systems for planning Google’s global production network, including a platform intended to move demand financial analysis toward autonomous workflows.

Skills & qualifications

RequiredNice to have

Skills

Software DevelopmentJavaC/C++PythonSoftware Product DesignLarge-Scale InfrastructureDistributed SystemsLarge-Scale DatabasesSoftware DesignSoftware ArchitectureData StructuresAlgorithmsTechnical LeadershipProject Team LeadershipTechnical DirectionCross-Functional CollaborationEnglish

Qualifications

Bachelor's Degree or Equivalent Practical Experience8+ Years Software Development8+ Years General-Purpose Programming5+ Years Software Product Design5+ Years Large-Scale Systems5+ Years Software Design and ArchitectureMaster's or PhD in Engineering, Computer Science, or Related Field8+ Years Data Structures and Algorithms3+ Years Technical Leadership3+ Years Complex Matrixed Organization Experience

Full job description

Staff Software Engineer, Infrastructure, Network Product Ordering

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XIn most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in software development.

  • 8 years of experience with one or more general purpose programming languages including: Java, C/C++ or Python.

  • 5 years of experience designing, developing, and launching software products.

  • 5 years of experience building and developing large-scale infrastructure, distributed systems, or large-scale databases systems.

  • 5 years of experience with software design and architecture.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field.

  • 8 years of experience with data structures and algorithms.

  • 3 years of experience in a technical leadership role leading project teams and setting technical direction.

  • 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

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.

The Network Demand Generation (Demand FA) team is the engine behind NetSoft’s mission to architect Google’s global production network. Our mission is to build the automated systems that translate Google’s product ambitions from Gemini to Cloud into the physical reality of the world’s most sophisticated network infrastructure.

As we scale into the AI era, demand financial analysis (FA) is fundamentally rethinking how we plan. We are moving away from process heavy, human-in-the-loop workflows toward a fully autonomous platform. Our software directly dictates billions of dollars in annual capital expenditures (CAPEX) investment, ensuring Google has the capacity to innovate while maintaining optimal cost performance.

The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) .

Responsibilities

  • Drive the technical strategy and architectural goal for critical systems across network product ordering and platform engineering.

  • Lead complex, cross-functional projects from initial design through to launch, ensuring technical excellence and on-time delivery.

  • Mentor and guide other engineers, fostering a culture of high-quality software development and innovation.

  • Collaborate with product managers, program managers, and other engineering teams to define requirements and influence the technical roadmap.

  • Solve problems related to large-scale distributed systems, big data processing, and data repositories.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) .

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See alsoGoogle's EEO Policy (https://www.google.com/about/careers/applications/eeo/) ,Know your rights: workplace discrimination is illegal (https://careers.google.com/jobs/dist/legal/EEOC\_KnowYourRights\_10\_20.pdf) ,Belonging at Google (https://about.google/belonging/) , andHow we hire (https://careers.google.com/how-we-hire/) .

If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form (https://goo.gl/forms/aBt6Pu71i1kzpLHe2) .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also https://careers.google.com/eeo/ and https://careers.google.com/jobs/dist/legal/OFCCP_EEO_Post.pdf If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form: https://goo.gl/forms/aBt6Pu71i1kzpLHe2.

How this job compares

Set against the 34,885 open Software Engineer jobs on Olive Jobs, counted October 29, 2026.

Pay
  • This posting$207–300K/yr
  • California median$165–246K/yr7,408 salary ranges
  • US median$140–222K/yr28,048 salary ranges

This range's midpoint, $254K, is 24% above the California median midpoint ($205K) — in the top quarter of Software Engineer salary ranges in California.

Openings
Olive Jobs lists 9,190 open Software Engineer jobs in California and 34,885 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in California
Experience
This posting asks for at least 8 years of experience — more than three in four Software Engineer postings that state a minimum ask for (median 5 years, across 28,135 postings).
Education
12,578 of the 34,885 open Software Engineer jobs (36%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 29, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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