基础设施安全监控工程师

Design and implement network threat detection systems that identify malicious traffic, protocol abuse, and anomalous behavior across Meta's global network infrastructure

Develop and maintain automated detection pipelines that process high-volume network telemetry including flow data, packet captures, and routing protocol events

Investigate network security incidents by analyzing traffic patterns, correlating signals across infrastructure layers, and producing detailed retrospectives

Build and refine detection logic for network-layer threats such as DDoS, BGP hijacking, route leaks, and lateral movement across data center fabrics

Collaborate with network engineering, security, and infrastructure teams to identify detection gaps and drive improvements to network visibility and coverage

Instrument monitoring and alerting systems to surface anomalies in network behavior and reduce mean time to detection for active threats

Participate in on-call rotations to respond to network security incidents, triage alerts, and implement mitigations during active events

Contribute to the design and code review of detection frameworks, ensuring reliability, scalability, and maintainability of owned systems

Evaluate network telemetry sources and propose enhancements to data collection infrastructure that improve detection fidelity and reduce blind spots

Document detection methodologies, runbooks, and architectural decisions to support knowledge sharing across the team

Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

2+ years of experience in network security, network operations, or production engineering with a focus on threat detection or security monitoring

Experience developing detection or monitoring tooling in at least one programming language such as Python, Go, or C++

Experience with network protocols and technologies including TCP/IP, BGP, DNS, and network flow analysis (e.g., NetFlow, sFlow, or IPFIX)

Experience building or operating network security monitoring systems, including log aggregation, alerting pipelines, or anomaly detection at scale

Experience investigating network security incidents, including traffic analysis, root cause identification, and post-incident documentation

Familiarity with the MITRE ATT&CK for Enterprise or ICS frameworks and applying threat intelligence to network detection use cases

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Experience with stream processing or big data platforms used for real-time network telemetry analysis (e.g., Apache Kafka, Flink, or Spark)

Experience with large-scale distributed network environments such as data center fabrics, backbone networks, or internet exchange points

Experience applying machine learning techniques to network anomaly detection or traffic classification problems

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Meta builds technologies that help people connect, find communities, and grow businesses.

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Apps like Messenger, Instagram and WhatsApp further empowered billions around the world.

Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

Learn more about benefits at Meta.

Meta is proud to be an Equal Employment Opportunity employer.

We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.

You may view our Equal Employment Opportunity notice here.

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If you need assistance or an accommodation due to a disability, fill out the Accommodations request form.

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You may view our Equal Employment Opportunity notice here.

Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support.

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Currently has, or is in the process of obtaining a Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience.

Degree must be completed prior to joining Meta.