Red Cell Partners

Red Cell Partners

DevSecOps Project Lead (Sr DevSecOps Engineer)

Remote, USA · Senior · Contract

No sponsorship$175k-$215kDetected 21 days ago
TypeScriptAWSAzureCloud PlatformsCI/CDDevOpsData AnalysisCadenceLeadership

About the role

  • Your charter is simple but high-stakes: ensure that software can be deployed reliably, securely, and on mission timelines in DoW environments.
  • This role spans both modern commercial DevOps practices and the realities of DoW deployment (IL-5 today with a path to IL-6), requiring you to make critical decisions across government networks, cloud environments, and hybrid architectures.
  • This is a senior role combining hands-on execution with system-level ownership.

Responsibilities

  • Design and scale hosting architecture in IL-5 environments with a path to IL-6
  • Build a production environment that supports zero-downtime deployments and enterprise-scale growth
  • Design, build, and operate a modern CI/CD pipeline with integrated testing, security scanning, and compliance validation
  • Establish and manage development, staging, and production environments
  • Lead transition from incumbent contractor and government-furnished environments
  • Own release cadence from capability intake through production deployment

Requirements

  • 8+ years of DevOps/DevSecOps engineering experience, including at least one production pipeline owned end-to-end at scale
  • 5+ years experience operating in DoW cloud environments (Azure Gov IL-5, AWS GovCloud, or equivalent IL-5 authorized environment).
  • Working knowledge of DoW impact-level boundaries and the CC SRG.3
  • Hands-on experience managing at least one complete ATO or cATO pathway in production.
  • US Citizenship Required
  • Willingness to travel up to 25% to USMC sites, Defcon AI HQ, and industry vendor facilities as required

Nice to have

  • Active TS/SCI Clearance
  • Experience supporting USMC or similar Service environments ]
  • Experience transitioning systems from one contractor to another
  • Experience with Iron Bank container certification
  • Familiarity with platforms such as Second Front (Game Warden), Stormbreaker, or Black Pearl
  • Exposure to Palantir Foundry or Anduril Lattice environment
  • A reliable, repeatable production deployment pipeline operating with a predictable cadence
  • What Success Looks Like

Compensation

  • $175k-$215k

Company info

  • Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security. United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation's most pressing problems.
  • RESILIENCE IN THE FACE OF DISRUPTION. DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems.
  • In today's dynamically changing world, DEFCON AI's technology aligns outcomes with operational goals, better decision making, and empowers customers to anticipate assess, and mitigate the impacts of disruptions.
  • Red Cell Partners is an incubation firm building and investing in rapidly scalable technology-led companies that are bringing revolutionary advancements to market in three distinct practice areas: healthcare, cyber, and national security.
  • United by a shared sense of duty and deep belief in the power of innovation, Red Cell is developing powerful tools and solutions to address our Nation's most pressing problems.
  • RESILIENCE IN THE FACE OF DISRUPTION.
  • DEFCON AI is an insights company that leverages artificial intelligence, mathematical optimization, data analytics, and software engineering for resilient optimization of complex systems.

Visa & Work Authorization

  • US Citizenship Required

This listing is sourced directly from Red Cell Partners's careers page and normalized into a canonical job model.