Software Engineer, Infrastructure - Central Security
Menlo Park, CAJob$184–257K/yrSeen todaySeen in employer's feed today
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Job overview
The Software Engineer will join Meta’s Central Security team, developing automated and autonomous security systems using AI/ML across domains including identity and access management, product security, and threat detection. The role involves building secure systems, addressing risks in AI/ML products, and collaborating across engineering and product teams to balance security requirements with operational needs.
Skills & qualifications
Skills
Qualifications
Full job description
Summary:
You'll be joining Central Security, Meta's first line of defense technology team, managing risk across critical security domains. You'll work within a cross-functional team of engineers, analysts, product managers, and program managers, collaborating closely with colleagues across Product, Infrastructure, and Enterprise Engineering. You will develop automated and autonomous security systems using AI/ML across high-impact security domains including Identity and Access Management, Product Security, Threat Detection, and Detection & Response. The organization operates at the intersection of cutting-edge technology and enterprise security, helping shape how Meta approaches security across our entire technology stack, from custom-built systems to commercial software such as cloud services, and increasingly sophisticated AI/ML systems.Work in this organization includes embedding secure-by-design principles across the AI/ML lifecycle from conception to deployment, and identifying, assessing and mitigating security risks unique to AI/ML systems and the products built on them: classical ML, agentic product features, and frontier models. You will help navigate the tradeoffs between security requirements and operational friction so that Meta can maintain its pace of innovation while remaining secure.
Required Skills:
Software Engineer, Infrastructure - Central Security Responsibilities:
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Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
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Implement custom user interfaces using the latest programming techniques and technologies
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Analyze and optimize code for security, quality, efficiency, and performance, and provide feedback to peers during code reviews
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Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
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Architect secure, efficient, and scalable systems that drive complex applications
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Identify and resolve security, performance, and scalability issues, and drive large efforts to reduce technical debt
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Work on a variety of coding languages and technologies
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Establish ownership of components, features, or systems with expert end-to-end understanding
Minimum Qualifications:
Minimum Qualifications:
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Programming experience in a relevant language
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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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Experience in programming languages such as C, C++, Java, or Rust and scripting languages such as Python, JavaScript, or Hack
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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 ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
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Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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6+ years relevant experience securing large-scale infrastructure applications or similar experience
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Experience improving quality through thoughtful code reviews, appropriate testing, proper rollout, monitoring, and proactive changes
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 42,008 open Software Engineer jobs on Olive Jobs, counted November 6, 2026.
- Pay
- This posting$184–257K/yr
- California median$165–246K/yr7,793 salary ranges
- US median$135–218K/yr33,367 salary ranges
This range's midpoint, $220K, is 8% above the California median midpoint ($205K) — in the middle half of Software Engineer salary ranges in California.
- Openings
- Olive Jobs lists 9,712 open Software Engineer jobs in California and 42,008 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 (34,212 postings).
- Education
- 13,955 of the 42,008 open Software Engineer jobs (33%) ask for a bachelor's degree or higher.
Counted across the open, public US postings on Olive Jobs on November 6, 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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