Senior Software Engineer - Cyber Systems & ML (Onsite MD)

Nightwing

Corridor North (MD)

Presencial

USD 99 000 - 206 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Resumo da oferta

Nightwing seeks a Senior Software Engineer to design resilient, scalable systems for critical missions. You will create high-performance software using distributed computing, ML, and AI-driven analytics, collaborating with a fast-paced team.

This onsite role is based at Nightwing's National Business Park facility in Maryland and requires TS/SCI clearance with polygraph. Responsibilities include building distributed services, containerized apps with Kubernetes or Docker, real-time data pipelines,

Qualificações

  • Bachelor’s degree in STEM fields.
  • Minimum 6 years of production-grade C++ experience.
  • 5+ years in designing and building scalable systems.
  • Proficient with Linux development and data structures.

Responsabilidades

  • Design and develop scalable distributed software.
  • Integrate ML models and AI analytics for signal processing.
  • Build containerized apps (Kubernetes/Helm) and microservices.
  • Develop event-driven data workflows using Kafka and gRPC.
  • Collaborate across teams to apply data-driven insights.
  • Prototype concepts to improve automation and performance.
  • Maintain secure, agile DevSecOps practices.

Conhecimentos

C++
Distributed systems
Kubernetes/Docker
DevSecOps
Linux
Git/CI/CD
Security clearance TS/SCI

Formação académica

Bachelor's degree in STEM

Ferramentas

Podman
Docker
Kafka
gRPC

Descrição da oferta de emprego

Nightwing seeks a Senior Software Engineer to design resilient, scalable systems for critical missions. You will create high-performance software using distributed computing, ML, and AI-driven analytics, collaborating with a fast-paced team.

This onsite role is based at Nightwing's National Business Park facility in Maryland and requires TS/SCI clearance with polygraph. Responsibilities include building distributed services, containerized apps with Kubernetes or Docker, real-time data pipelines,

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