Wireless Security Engineer II, Wireless Security
Summary
Build cloud-based detection systems that analyze RF telemetry and wireless logs to identify and respond to security threats across Amazon facilities at global scale.
Application deadline: Aug 13, 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.
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.