Required
- 15+ years of experience in software engineering, systems architecture, enterprise architecture, or a related technical discipline, including significant technical leadership experience.
- Demonstrated experience architecting and delivering large-scale software or platform environments.
- Strong experience with cloud architecture, hybrid/multi-cloud environments, distributed systems, and cloud-native technologies.
- Demonstrated experience with DevSecOps, CI/CD, secure software development, and cybersecurity architecture.
- Experience with Risk Management Framework (RMF), NIST security controls, cATO/ATO, or comparable authorization frameworks.
- Strong understanding of Zero Trust, container security, identity, network segmentation, and application security.
- Experience providing technical leadership for AI/ML or Generative AI capabilities, preferably in secure or regulated environments.
- Experience with AI governance, data protection, model security, evaluation, guardrails, and human-in-the-loop controls.
- Demonstrated experience leading multi-company, geographically distributed, and/or multi-cleared engineering teams.
- Excellent technical communication skills, including the ability to brief and defend architecture decisions to senior stakeholders.
- Demonstrated ability to identify technical risks, communicate tradeoffs, and develop practical mitigation strategies.
- Active TS/SCI clearance with Poly.
Desired
- Experience with cloud cost-saving strategies in conjunction with Kubernetes (K8s) and Open Container Initiative (OCI) concepts.
- Experience with AWS GovCloud, classified/high-side cloud environments, or comparable Government cloud platforms.
- Experience with Amazon Bedrock or comparable enterprise Generative AI platforms.
- Experience architecting secure AI-enabled developer environments or coding assistants.
- Experience with Platform One, Iron Bank, Certificate to Field (CtF), or comparable DoD software factory frameworks.
- Experience supporting OCONUS or multi-region deployments across multiple security environments.
- Experience transitioning emerging technologies or R&D capabilities into production.
- Experience delivering MVPs on compressed timelines in classified or highly regulated environments.
- Experience supporting GEOINT, Intelligence Community, or DoD mission environments.
- Experience with Rust or other systems-level programming languages.
- Experience with cloud cost optimization, infrastructure efficiency, and technology tradeoff analysis.
We are seeking a highly experienced Chief Engineer / Chief Architect to provide technical leadership for a complex, mission-focused software and technology platform supporting highly secure government environments.
The Chief Engineer will own the technical vision, architecture, engineering standards, and technical execution strategy across cloud, AI/ML, cybersecurity, DevSecOps, software engineering, and platform integration.
The ideal candidate is a hands-on technical leader who can translate complex architecture into executable engineering plans, defend technical decisions to senior stakeholders, identify risks early, and align diverse engineering teams around a common technical strategy.
Key ResponsibilitiesTechnical Vision & Architecture
- Own the overall technical vision, architecture, and engineering strategy for a complex, multi-platform software environment.
- Define and govern a platform-of-platforms architecture, including architectural boundaries, interfaces, integration patterns, and technical standards.
- Develop scalable, cloud-agnostic, hybrid, multi-region architectures capable of operating across multiple security environments.
- Lead architecture reviews and establish common engineering standards across multi-company, geographically distributed, and multi-cleared engineering teams.
- Identify and manage technical dependencies, architecture risks, integration challenges, and schedule constraints.
Cloud, DevSecOps & Cybersecurity
- Provide technical leadership for DevSecOps, CI/CD, cybersecurity, Zero Trust, container security, and secure software development.
- Integrate cATO, RMF, NIST controls, security evidence, and compliance requirements directly into platform architecture and delivery.
- Lead the integration of security scanning, monitoring, vulnerability management, and compliance tooling into continuous delivery pipelines.
- Ensure security, scalability, and architectural integrity are maintained while enabling rapid, incremental delivery of MVP capabilities.
AI/ML & Emerging Technologies
- Provide architectural leadership for AI/ML and Generative AI capabilities, including AI governance, security, data protection, guardrails, evaluation, and human oversight.
- Translate emerging technologies and research capabilities into practical, production-ready solutions.
Engineering Leadership & Execution
- Translate complex architecture and technical strategy into executable engineering plans.
- Guide rapid, incremental delivery of MVP capabilities while maintaining architectural integrity, security, and scalability.
- Bring diverse engineering teams together around a common technical strategy and execution approach.
- Mentor senior architects, engineers, and technical leads while fostering a collaborative, high-performing engineering organization.
Stakeholder Engagement
- Communicate and defend technical decisions to senior Government, customer, and technical stakeholders.
- Provide clear technical direction and recommendations across complex architectural and engineering decisions.
- Identify technical risks early, communicate tradeoffs, and develop practical mitigation strategies.
Location: This position is fully onsite in Chantilly, VA.