The Opportunity:
Research malware families and threat groups to find new technical indicators and tactics, techniques, and procedures (TTPs) to be used for threat hunting efforts. Perform deep-dive reverse engineering on malware samples using static and dynamic analysis techniques to extract indicators and understand malware capabilities. Develop custom tooling and automation frameworks to accelerate malware analysis workflows, including configuration extraction, deobfuscation, and payload analysis. Leverage AI and agentic frameworks to enhance detection and analysis capabilities. Design and deploy scalable analysis infrastructure in cloud environments. Develop signature and heuristic detection rules to find new malware samples and indicators for threat groups. Leverage expertise in reverse engineering complex malicious code to create technical reports for identification parameters, advanced capabilities, and potential mitigation strategies.
You Have:
6+ years of experience with conducting static and dynamic reverse engineering of malware
4+ years of experience with software development in Python, C, or C++
Experience with using malware reverse engineering to determine indicators of compromise on Linux, Windows, or mobile platforms
Experience with malware reverse engineering using static and dynamic analysis tools, including disassemblers, debuggers, virtual machines, or hex editors, and with tools, including IDA Pro, Hex-Rays, WinDbg, OllyDbg, or dnSpy
Experience developing custom tools for malware analysis, including configuration extractors, deobfuscators, and payload analysis utilities
Experience writing plugins or scripts for IDA Pro or Ghidra to automate reverse engineering tasks
Experience deploying development environments and analysis labs using cloud infrastructure, including AWS, Azure, or GCP
Knowledge of the TCP/IP networking stack and network IDS technologies
Ability to obtain a Secret clearance
Bachelor's degree
Nice If You Have:
ExperienceĀ with regular expressions and multiple scripting languages
Experience leveraging AI/ML techniques and agentic frameworks for malware analysis and threat detection
Experience with container technologies, including Docker or Kubernetes, for analysis environment deployment
Experience with infrastructure-as-code tools, including Terraform or CloudFormation, for automated lab provisioning
Experience with automated malware analysis platforms and sandbox technologies
Knowledge of YARA rule development and signature-based detection methodologies
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 Allenās 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.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individualās particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allenās total compensation package for employees. This posting will close within 90 days from the Posting Date.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.
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