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Wireless Security Engineer II, Wireless Security

Amazon.com Inc

  • WA
  • 7 days ago
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    Skills

    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Cloud Computingunmatched
    • Computer Securityunmatched
    • Data Analysisunmatched
    • Data Collectionunmatched
    • Data Managementunmatched
    • Distributed Computingunmatched
    • Enterprise Protectionunmatched
    • Intrusion Detection Systemsunmatched
    • Leadershipunmatched
    • Machine Toolunmatched
    • Metadataunmatched
    • Pattern Matchingunmatched
    • Radio Frequencyunmatched
    • Riskunmatched
    • Security Analysisunmatched
    • Security Attacksunmatched
    • Site Evaluationunmatched
    • Software Engineeringunmatched
    • Technical Recruitingunmatched
    • Telemetryunmatched
    • Testingunmatched
    • Trend Analysisunmatched
    • United States Citizenunmatched
    • Willing to Travelunmatched
    • Wireless Communicationsunmatched
    • Wireless Protocols/Standardsunmatched
    • Wireless Securityunmatched
    • Writing Skillsunmatched

    Description

    Application deadline: Aug 8, 2026

    The Amazon Wireless Security Assessments team delivers continuous wireless risk transparency for Amazon facilities. We build and operate detection and assessment capabilities that identify wireless threats across Amazon facilities.

    We are hiring a Security Engineer who can build cloud-based detection systems for wireless threats at scale. This role combines working knowledge of wireless security with deep expertise in data telemetry, detection engineering, and security automation. If you"re passionate about turning raw RF telemetry and system logs into production detection logic - and want to do it at global scale with AI-assisted tooling - this is the role for you.

    What you"ll do

    You"ll own the detection engineering lifecycle for wireless threats - designing, building, testing, and maintaining detection logic that runs against telemetry from Amazon facilities. You"ll work with large-scale data: ingesting, transforming, and analyzing RF metadata, wireless IDS alerts, and sensor telemetry to surface anomalies and validate security posture. You"ll develop data pipelines that turn noisy signals into clear, actionable security intelligence. You"ll leverage and help evolve AI-assisted workflows where automation handles mechanical collection and triage, freeing you to apply expert judgment on what matters.

    When on-site validation is needed, you"ll conduct targeted wireless assessments - applying working knowledge of RF fundamentals and wireless protocols to capture and analyze signals, validate detection hypotheses, and confirm findings in the physical environment.

    You"ll author risk-calibrated findings, educate partner teams, drive remediation, and present analysis to senior leadership and stakeholders. You"ll build tools - detection rules, data pipelines, and automation - that scale the team"s ability to maintain continuous wireless risk visibility.

    The candidate should have strong detection engineering and data analysis skills, working familiarity with wireless security, and comfort operating in cloud-native environments. They should demonstrate sound judgment under ambiguity, be outcome-oriented, and embody Ownership, Bias for Action, and Dive Deep.

    The role requires up to 50% travel within and outside the United States.

    This position requires that the candidate selected be a US Citizen.

    Key job responsibilities

    Design, build, test, and maintain cloud-based detection logic for wireless security threats using telemetry from distributed sensor systems and enterprise security tooling

    Analyze large-scale security data - RF metadata, wireless IDS alerts, syslog, and custom sensor telemetry - to identify anomalies, trends, and security issues

    Develop and refine data pipelines that ingest, normalize, and enrich wireless telemetry for continuous assessment and detection

    Own wireless security investigations from framing through outcome delivery

    Leverage and improve AI-assisted workflows - working alongside automation tooling for data collection, triage, and pattern recognition

    Conduct targeted on-site wireless assessments when physical validation is required, using wireless capture and analysis tools across relevant protocols

    Author risk-calibrated findings and drive remediation with facility owners and partner teams

    Build tools and automation that increase the team"s detection coverage and operational efficiency

    Present findings, briefs, and analysis to senior leadership, internal departments, and stakeholders

    Engage with partner teams to understand security concerns and educate on wireless security topics

    A day in the life

    You start your morning reviewing detection performance - checking for alerts that fired overnight, tuning a rule that"s generating noise, and investigating an anomalous telemetry pattern flagged for your review. You write a new detection for a wireless protocol behavior you researched last week, validate it against historical data, and push it to production. After lunch, you work on improving a data pipeline that normalizes sensor telemetry from a newly deployed site, then pair with a teammate to refine triage logic in an automated workflow. Later in the week, you might fly to a facility to validate a detection hypothesis with hands-on RF capture - confirming what the data told you, or discovering what it missed.

    About the team

    The Wireless Security Assessments team provides wireless risk transparency across Amazon facilities. We integrate AI-assisted workflows into our operating model so engineers focus on judgment and outcomes rather than mechanical data collection. We are a small, high-autonomy team within a larger global security organization.

    The role requires up to 50% travel within and outside the United States.

    Diverse Experiences

    Amazon Security values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn"t followed a traditional path, or includes alternative experiences, don"t let it stop you from applying.

    Numbers & Facts

    LocationWA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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