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Pre-Sales Solutions Engineer

Booz Allen Hamilton · McLean, VA
Salary $99K – $225K
Category Engineering
Type Full Time
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Job description

Pre-Sales Solutions Engineer

The Opportunity

We are seeking a Lead Sales Engineer with deep   expertise   in cyber defense products, such as   defensive cyber operations,   malware reverse engineering, detection engineering, or threat hunting, and enterprise-grade solution architecture to support and drive complex sales engagements. This role combines technical   execution   with executive-level communication, acting as a trusted advisor to security, incident response, and threat intelligence teams.   This role requires   partnership with technical and bu siness stakeholders across private and public sectors to support strategic solutioning   and   seamless   integration of cyber product in the customer’s environment. Y ou will guide technical input for proposals   related to our cyber product portfolio , deliver compelling demos, and ensure seamless sales-to-delivery transitions.   Due to the nature of work performed within this facility, U.S. citizenship is required. What   You’ll  Work On :

  • Serve as the primary technical authority for   cyber products   in market facing engagements   and   support   solution design during enterprise sales cycles.
  • Deliver high ‑ impact demos   and technical presentations   showcasing   scalability, security, and integration   of our cyber products across private and public sector markets.
  • Support   competitive technical positioning against other competing products and solutions .
  • S upport formal enterprise procurement processes, including   proposals , architecture reviews, and security   assessments. A rticulate differentiators and guide negotiations.
  • Collaborate with Product, Engineering, and   market   teams to   deliver market feedback and requests and   influence   product   roadmap and   market   analysis.
  • Act as a technical advisor to customers during evaluation and early adoption phases   in partnership with market teams.
  • Support post-sale   customer   success , troubleshooting, sales   renewal   and upgrades within the cyber product portfolio. You Have:
  • 2+   y ears  of experience   in technical pre-sales or solution architecture
  • 2+ years of experience leading enterprise engagements
  • 2+   y ears  of experience   in   architecting,   implementing, and integrating   enterprise-scale security architectures   across   endpoints, identity, networks, and cloud environments, including   analyzing security telemetry to   improve   detection, alerting, and response behavior
  • 2+   y ears  of experience   working closely with   security operations teams to support investigation workflows, alert triage, and operational decision-making
  • 2 +   y ears  of experience   performing technical work ,   such as   engineering software products, developing ful l-stack applications , d eploying se rvices, configuring operating systems, or building and   maintaining   test or prod uction envi ronments
  • Experience with AWS or Azure, container orchestration, such as Kubernetes, ECS, or ACA, and CI/CD tooling, such as GitLab, GitHub, Jenkins, ArgoCD, or Flux
  • Ability to adapt in rapidly changing environments
  • Bachelor’s degree Nice If You Have:
  • Experience with   advanced capabilities in reverse engineering, behavioral analysis, and threat research , where   solutions   provide   measurable improvements in detection accuracy, investigation efficiency, and enterprise-scale security operations
  • Experience supporting Fortune 500   regulated-industry customers   and pub lic sector
  • Experience integrating malware analysis platforms into   SIEM, SOAR, or MDR environments
  • Experience integrating and operating Detection Engineering and Threat Hunting solutions
  • Experience with software engineering, such as programming   in   Python, Java, or C/C++, and   building application integrations, such as RESTful API   gateway services
  • Experience with automated testing and workflow optimization
  • Knowledge of AIOps, MLOps, ModelOps, or DataOps   patterns
  • Possession of excellent interpersonal and analytical skills
  • Master’s degree
  • Completion of GREM, OSCE, or SANS FOR/RE Courses

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. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s 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 $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s 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.