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Staff Engineer, Software (R6331)

Shield AICały światCały świat

Źródło:Remote.com
Rodzaj zatrudnienia
Rodzaj zatrudnieniaPełny etat
Doświadczenie
DoświadczenieSenior
Dodano
Dodano18 października 2026
Wykryte przez nas
Wykryte przez nas19 października 2026
Zarobki
Zarobki140 000 - 210 000 USD

Shield AI is a venture-backed defense-tech company dedicated to protecting service members and civilians through intelligent systems. We are seeking a Staff Software Engineer to join our Enterprise Software Engineering team, where you will design and build the critical applications, services, and integrations that power our business operations.

Key responsibilities

  • Design, build, and maintain enterprise applications and APIs using C#/.NET and React, while integrating AI capabilities into internal tools.
  • Architect and implement distributed, event-driven systems using message brokers like RabbitMQ, Kafka, or Azure Service Bus.
  • Develop reliable integrations between enterprise systems, managing complex workflows, retries, and failure recovery.
  • Apply advanced system design patterns such as Saga, CQRS, and idempotent consumers to ensure scalable and resilient solutions.
  • Collaborate with fellow engineers on design and code reviews while leading projects to deliver measurable business impact.

Requirements

  • Minimum of 7+ years of professional software engineering experience with deep expertise in C# and .NET.
  • Proven experience building frontends with React and TypeScript.
  • Hands-on knowledge of messaging architectures and event-driven design patterns.
  • Strong understanding of cloud platforms, specifically Azure or AWS, including security, networking, and identity management.
  • Experience with relational databases, CI/CD practices, and a strong discipline in testing and code quality.

What we offer

  • The opportunity to work on cutting-edge defense technology and intelligent systems in a fast-paced, mission-driven environment.
  • A collaborative culture where you will work alongside senior engineers on high-impact projects.
  • Exposure to modern AI-assisted development tools and advanced architectural patterns in a distributed systems environment.

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