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Defense Unicorns

Secure DevSecOps platform for defense

Technical Lead/Platform Solutions Architect

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSpringfield, VA, USANo salary listed

About the Job

Requirements

  • An active Top Secret/Sensitive Compartmented Information clearance is required.
  • Must be local to the National Capital Region and able to support onsite work at a government facility in Springfield, Virginia, with availability for increasing onsite/SCIF interaction as the program scales.
  • At least 8 years of experience in systems engineering, platform engineering, cloud architecture, DevSecOps, or solution architecture, with demonstrated ownership of complex technical environments.
  • Deep hands-on understanding of Kubernetes and enterprise container platforms, preferably Red Hat OpenShift.
  • Strong understanding of cloud infrastructure, continuous integration and continuous delivery, Infrastructure as Code, GitOps, APIs, networking, identity, secrets, and observability.
  • Familiarity with NIST 800-53, Risk Management Framework, Authority to Operate/Continuous Authority to Operate, zero-trust architecture, software supply-chain security, and continuous authorization.
  • Ability to understand and communicate system architecture across application, platform, AI, data, and security boundaries.
  • Demonstrated experience leading technical decisions in ambiguous, fast-moving environments with multiple engineering teams and technology vendors.
  • Strong written and verbal communication skills to brief senior government leaders and collaborate with technical engineers.
  • Ability to serve as a technical point of accountability without becoming a bottleneck, make informed decisions, and escalate when needed.

Responsibilities

  • Own the end-to-end technical architecture and serve as the primary technical subject matter expert across the platform ecosystem.
  • Advise the mission team by translating mission objectives into technical choices and providing recommendations, tradeoffs, and risk assessments.
  • Create and maintain the architectural overview across application, platform, AI, data, networking, security, identity, and integration layers.
  • Lead technical integration across commercial and government technologies, including Kubernetes/OpenShift, GitLab, AI/ML services, enterprise data platforms, and supporting security tooling.
  • Identify architectural dependencies, integration risks, bottlenecks, and technical debt early enough to prevent downstream schedule or mission impacts.
  • Guide engineering teams in establishing repeatable patterns for deployment, configuration, observability, identity, secrets, APIs, data access, and lifecycle management.
  • Work directly with original equipment manufacturer engineering and professional services teams to resolve cross-platform issues and ensure vendor solutions fit the overall architecture.
  • Evaluate emerging AI, agentic, cloud-native, and platform technologies and advise the government team on practical adoption, integration, and sequencing.
  • Establish technical patterns reproducible across classified environments and support the transition from prototype to operational use.
  • Partner with the DevSecOps engineer to identify security and compliance risks early, incorporating NIST 800-53, Risk Management Framework, and Authority to Operate considerations into architecture and engineering decisions.
  • Partner with the Data Engineer and AI Agentic Engineer to ensure data, models, agents, and applications work together as an operational system.
  • Produce and maintain architecture diagrams, architecture decision records, technical standards, integration patterns, and concise decision briefs for government leadership.
  • Identify recurring integration and platform problems that can be standardized, automated, or productized through UDS or other reusable capabilities.

Desired Qualifications

  • Experience with AI/ML infrastructure, generative AI, agentic systems, model serving, retrieval-augmented generation, or AI platform architecture.
  • Experience with Red Hat OpenShift AI, NVIDIA AI technologies, GitLab, enterprise data platforms, or comparable commercial technologies.
  • Experience integrating multi-vendor platforms where no single vendor owns the complete end-to-end solution.
  • Experience supporting Secret or TS/SCI systems and multi-domain or disconnected/air-gapped deployments.
  • Experience with UDS, Zarf, Pepr, Iron Bank, or similar secure software delivery and platform engineering technologies.
  • Experience creating architecture decision records, reference architectures, technical roadmaps, and executive-level technical briefings.
  • Experience advising government customers on technology strategy, modernization, platform adoption, or enterprise architecture.

About the Company

Defense Unicorns

Secure DevSecOps platform for defense

Defense Unicorns provides secure, open-source DevSecOps solutions and related services for defense and federal customers. Its platform is designed to be infrastructure-agnostic, integrating development, security, and operations to deliver software quickly while meeting strict federal security and accreditation standards. The company differentiates itself by focusing on mission-driven government and defense programs, leveraging open-source tooling, and offering training and consulting to help organizations upskill, transform digitally, and navigate DoD SBIR/STTR programs. The goal is to help government agencies and defense contractors deliver secure software at speed, acquire and integrate software solutions efficiently, and achieve compliance in complex procurement environments.

Company size
201-500
Company stage
Series B
Total funding
$172.3M
Headquarters
Colorado Springs, CO
Founded
2021

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