The Opportunity:

We’re looking for a self‑motivated, hands‑on self‑starter who thrives in environments where threat signals are noisy, adversaries evolve quickly, and high‑fidelity detections directly improve mission outcomes. In this role, you’ll design, build, test, and maintain production‑grade detections across data sources, including endpoint, network, identity, SaaS, and cloud, while applying Detection‑as‑Code (DaC) practices to ensure consistency, scalability, versioning, and automation.

You’ll collaborate closely with incident responders, hunters, and platform engineers to map rules to MITRE ATT&CK, maintain coverage dashboards, and continuously iterate on fidelity and performance. This is a high‑impact engineering role where curiosity, ownership, and precision are essential.

Join us. The world can’t wait. 

You Have:   

• 5 years of experience in a security engineering function such as detection engineering, SOC analytics, or threat hunting

• Experience contributing to shared rule and detection repositories

• Experience authoring detections in two or more of the following: Sigma, YARA, Suricata, Splunk SPL, KQL, or SQL/DB‑SQL

• Experience applying Detection‑as‑Code (DaC) best practices such as Git workflows, pull requests, automated linting, CI pipelines, unit tests, and metadata enforcement

• Experience with detection versioning, semantic versioning, changelogs, and ruleset lifecycle management

• Experience building detections across multiple log sources and platforms, such as EDR/XDR, SIEM, cloud telemetry, and identity providers

• Ability to demonstrate map detections to MITRE ATT&CK techniques and communicate coverage effectively to stakeholders

• Ability to communicate detection logic clearly, document rationale, and collaborate with SOC, IR, and engineering partners

• Ability to obtain a Secret clearance

• HS diploma or GED

Nice If You Have:

• Experience operating within a mature DaC program with standardized rule formats, metadata schemas, test harnesses, and CI/CD promotion gates

• Experience with adversary simulation or detection validation frameworks such as automated test harnesses, replay testing, or red or blue collaboration workflows

• Experience with cloud environments such as AWS, Azure, and GCP, cloud logging architectures, and SIEM or XDR platforms such as Sentinel, Chronicle, or Elastic

• Experience with scripting and programming in Python or Go for detection utilities or automation

• Knowledge of data models such as ECS and CIM, normalization pipelines, and building portable detections across platforms

• Knowledge of MITRE ATLAS for AI‑relevant threat behaviors and integrating ATT&CK and ATLAS coverage models

• GCIA, GCTI, GCDA, GMON, or similar certifications

Clearance:

Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.