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Senior Staff Technical Leader, Google SecOps

Google

Sunnyvale, CAJob$262–364K/yrSeen 2w agoSeen in employer's feed 2 days ago

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At a glance

Compensation
$262–364K/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

Google’s SecOps Data Platform team is evolving the data platform for an autonomous agentic security operations center. The Senior Technical Leader will guide platform architecture and experimentation, improve scale and reliability, and work with product teams and customers to address pain points. The role also includes mentoring engineers and supporting AI SOC agents with platform building blocks.

Skills & qualifications

RequiredNice to have

Skills

Software Development, requiredScalable Distributed Systems, requiredData Pipelines, requiredReal-Time Streaming, requiredBatch Processing, requiredJava, requiredC/C++, requiredPython, requiredGenerative AI, requiredLarge Language Models, requiredMultimodal AI, requiredLarge Vision Models, requiredLanguage Modeling, requiredComputer Vision, requiredData Structures, nice to haveAlgorithms, nice to haveTechnical Leadership, nice to haveProject Team Leadership, nice to haveTechnical Direction, nice to haveSIEM Products, nice to have

Qualifications

Bachelor's in Computer Science or Related Field or Equivalent, required8+ Years Software Development, required8+ Years General-Purpose Programming, required2+ Years Generative AI Experience, requiredMaster's or PhD in Engineering, Computer Science, or Related Field, nice to have8+ Years Data Structures and Algorithms, nice to have5+ Years Technical Leadership, nice to have3+ Years Complex Matrixed Organization Experience, nice to haveEnglish Proficiency, required

Full job description

Senior Staff Technical Leader, Google SecOps

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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 in Computer Science, a related technical field, or equivalent practical experience.

  • 8 years of experience in software development, with focus on building scalable distributed systems, data pipelines, real time streaming and batch processing systems.

  • 8 years of experience with one or more general purpose programming languages including but not limited to: Java, C/C++ or Python.

  • 2 years of experience with GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

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.

  • 5 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.

Google Cloud Security is redefining security for the new AI era. Our goal is to deliver highly differentiated and Google-scale agentic defense to empower customers to defend their enterprises at machine scale and speed. Our team is at the forefront of revolutionizing the Google Security Operations (SecOps) through the power of artificial intelligence. This is a unique opportunity to build the next generation of Security Agentic AI systems that will protect major organizations worldwide.

As a Senior Technical Leader in the SecOps Data Platform team, you will lead the evolution of the data platform for a fully autonomous agentic SOC.

From startups building their first app to billion-user consumer companies crunching big data, the Google Cloud Platform gives developers and businesses the most advanced data and analytics solution on the market, along with Google's secure, high performance infrastructure. Our team of technical account managers and software engineers work with partners across all functions to develop solutions that harness Google's planet-wide platform to solve the world's most challenging problems.

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

US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits

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

Responsibilities

  • Develop a deep understanding of data platform building blocks to be consumed by AI SOC agents.

  • Drive rapid prototyping and experimentation on various architectural options for the next gen data platform.

  • Identify and implement architecture improvements that make our platform simpler, more robust, and more scalable to unleash the full potential of our customers’ data.

  • Drive scale and reliability efforts of SecOps data platform. Leverage your expertise in SIEM products to understand customer pain points, propose solutions, build and deliver projects while working closely with product/customers to incorporate feedback.

  • Mentor and develop other team members. Write documentation, conduct code reviews, and share knowledge with other engineers.

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 40,155 open Software Engineer jobs on Olive Jobs, counted November 11, 2026.

Pay
  • This posting$262–364K/yr
  • California median$164–243K/yr6,964 salary ranges
  • US median$133–216K/yr32,033 salary ranges

This range's midpoint, $313K, is 53% above the California median midpoint ($205K) — in the top quarter of Software Engineer salary ranges in California.

Openings
Olive Jobs lists 8,558 open Software Engineer jobs in California and 40,155 across the US. 8% 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 33,026 postings).
Education
12,547 of the 40,155 open Software Engineer jobs (31%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 11, 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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