Jobs · OTHR

Lead Product Engineer / Architect

Apolis · United States · 1 mo ago
RemoteRemoteOTHRContract

About the role

The Lead Product Engineer / Architect will serve as the senior technical authority for the offering, working as a peer to the Lead Product Manager. This role will shape the technical vision, architecture, engineering standards, and delivery roadmap across cyber, software, hardware, AI, space, ground, and user segments.

Responsibilities

  • Translate complex mission and security requirements into scalable, commercially viable solutions that can be deployed repeatably across clients.
  • Shape the technical vision, architecture, engineering standards, and delivery roadmap across cyber, software, hardware, AI, space, ground, and user segments.
  • Deeply design secure architectures across cloud, on-premises, hybrid, and space/embedded constraints, with strong systems-thinking and an integration background (interfaces, constraints, failure modes).
  • Author reference architectures, patterns, or platforms adopted by multiple teams, ideally productized offerings deployed across more than one client or environment.
  • Serve as the senior technical sounding board for the specialist workstream leads, pressure-testing the tradeoffs each otherwise makes in isolation.
  • Grasp security architecture: identity, key management, secure boot and update, segmentation, data protection, logging and telemetry, and supply chain.
  • Operate under compliance constraints (NIST, ATO, STIGs, CMMC, as applicable) and translate them into executable delivery controls and compliance-ready designs.
  • Lead with calm, decisive leadership under uncertainty, with strong incident- and risk-management discipline.
  • Influence without direct authority, with excellent written and verbal communication across technical and executive audiences.

Requirements

  • Bachelor’s degree required
  • 10+ years of experience as a product engineer, solution architect, systems architect, technical product leader, or similar role delivering complex cyber, aerospace, space, embedded, or mission-critical systems
  • Proven leadership delivering complex, multidisciplinary cyber and/or space systems to production and operations
  • Deep experience designing secure architectures across cloud, on-premises, hybrid, and space/embedded constraints, with strong systems-thinking and an integration background (interfaces, constraints, failure modes)
  • Demonstrated authorship of reference architectures, patterns, or platforms adopted by multiple teams, ideally productized offerings deployed across more than one client or environment
  • Sufficient cross-domain depth (embedded/space, AI/ML, ground segment, cloud/DevOps) to serve as the senior technical sounding board for the specialist workstream leads, pressure-testing the tradeoffs each otherwise makes in isolation
  • Strong grasp of security architecture: identity, key management, secure boot and update, segmentation, data protection, logging and telemetry, and supply chain
  • Experience operating under compliance constraints (NIST, ATO, STIGs, CMMC, as applicable) and translating them into executable delivery controls and compliance-ready designs
  • Calm, decisive leadership under uncertainty, with strong incident- and risk-management discipline
  • Proven ability to influence without direct authority, with excellent written and verbal communication across technical and executive audiences

Preferred Qualifications

  • Experience taking a product or platform to market commercially — pilots, co-development, or first-of-kind deployments with external clients
  • Experience with satellite mission operations or aerospace delivery environments
  • Background in embedded and real-time systems integration
  • Familiarity with AI/ML model deployment pipelines in constrained environments
  • Background in SPARTA (Space Attack Research and Tactic Analysis) threat frameworks
  • Working fluency across the platform tech stack, enough to guide design decisions in each domain: embedded/space (C, POSIX, real-time OS); AI/ML (Python, PyTorch); ground segment (Docker, Grafana, MQTT, Node.js); CI/CD and DevOps (GitHub Actions, automated security scanning, containerized deployments)

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