Software Engineer, Infrastructure - Ads Infra and Ranking
Bellevue, WAJob$184–257K/yrSeen todaySeen in employer's feed today
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Job overview
Meta’s Ads Infra and Ranking organization builds the technical foundation for ad retrieval, ranking, training, and serving. The Software Engineer, Infrastructure will lead complex systems projects that strengthen these platforms, designing and improving distributed services for reliability, performance, privacy, and resource efficiency. The role partners with infrastructure and machine learning engineers to support dependable production systems and faster iteration.
Skills & qualifications
Skills
Qualifications
Full job description
Summary:
Meta's Ads organization builds the systems that help businesses of every size reach the people most likely to care about what they offer. At our core, we're builders who care about shipping real value. Within Ads, the Infra and Ranking organization owns the technical foundation that makes this work at Meta's scale: the ranking models that decide which ad is right for each moment; the retrieval and serving platforms that evaluate enormous candidate sets in milliseconds; and the underlying data, training, and inference infrastructure. All of this is done while maximizing compute efficiency, ensuring reliability and privacy, and using AI to speed up development.As a Software Engineer, Infrastructure in Ads Infra and Ranking, you will lead complex systems engineering projects that strengthen the platforms behind Ads retrieval and ranking: data and features, training, evaluation and experimentation, and serving. You will design and improve distributed services with a focus on reliability, performance, privacy, and resource efficiency, working with infrastructure and ML partners to enable dependable production systems and faster iteration.
Required Skills:
Software Engineer, Infrastructure - Ads Infra and Ranking Responsibilities:
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Design, build, and improve distributed services and platform capabilities supporting Ads data, training, experimentation, real-time serving, or compute capacity.
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Use system data and analysis to diagnose reliability, latency, throughput, and resource-efficiency issues and compare technical solutions.
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Lead complex systems projects from design through production rollout, coordinating dependencies across infrastructure and ML engineering partners.
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Develop maintainable software, interfaces, and operational tooling that improve platform usability and reduce engineering toil.
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Improve production quality through testing, code review, observability, safe rollout, and incident response.
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Communicate technical trade-offs, balance platform stability with Ads innovation, and mentor engineers to raise the team's engineering standards.
Minimum Qualifications:
Minimum Qualifications:
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Demonstrated experience driving change within an organization and leading complex technical projects
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Experience utilizing data and analysis to explain technical problems and provide detailed feedback and solutions
Preferred Qualifications:
Preferred Qualifications:
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6+ years relevant experience building large-scale infrastructure applications or similar experience
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Experience building distributed services or data platforms behind advertising, business-facing, or analogous large-scale products
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Experience designing reliable service interfaces and diagnosing correctness, performance, or data-quality issues across product integrations
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Experience in programming languages such as C, C++, or Java, and scripting languages such as Python, Javascript, or Hack
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Experience improving quality through code review, testing, controlled rollout, monitoring, and proactive changes
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Demonstrated ability to integrate AI tools into infrastructure engineering and operational workflows and drive measurable efficiency or quality improvements
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Experience applying responsible AI practices, including risk assessment and quality and accuracy reviews, when developing or using AI-assisted product infrastructure tooling
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Demonstrated ongoing AI skill development, including prompt/context engineering or agent orchestration, and evaluation of emerging technologies for infrastructure engineering use
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Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
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Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Public Compensation:
$183,997/year to $257,000/year + bonus + equity + benefits
Industry: Internet
Equal Opportunity:
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].
How this job compares
Set against the 41,410 open Software Engineer jobs on Olive Jobs, counted November 10, 2026.
- Pay
- This posting$184–257K/yr
- Washington median$144–216K/yr1,938 salary ranges
- US median$135–219K/yr32,963 salary ranges
This range's midpoint, $220K, is 24% above the Washington median midpoint ($179K) — in the top quarter of Software Engineer salary ranges in Washington.
- Openings
- Olive Jobs lists 2,177 open Software Engineer jobs in Washington and 41,410 across the US. 8% of them nationwide are listed as remote or flexible.
- Experience
- This posting asks for at least 6 years of experience; Software Engineer postings that state a minimum ask for 5 years at the median (33,915 postings).
- Education
- 12,935 of the 41,410 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 10, 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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