Senior Software Engineer

recruyt

Baltimore (MD)

On-site

USD 165,000 - 250,000

Full time

14 days+

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Job summary

A leading logistics technology firm is seeking a Senior / Lead Backend Software Engineer in Baltimore, MD. This role involves designing and deploying backend systems crucial for mission-critical logistics software, collaborating with military stakeholders and engineers. Candidates should have over 6 years of experience in backend systems, API design, and data pipeline architecture. Familiarity with military logistics and cloud environments like AWS is desired. This full-time position offers a competitive salary range of $165,000 to $250,000 annually.

Qualifications

  • 6+ years of experience building and shipping production-grade backend systems.
  • Proven experience designing APIs, data pipelines, and system integrations at scale.
  • Strong technical judgment with ability to balance speed and reliability.

Responsibilities

  • Own the design, development, and deployment of backend systems.
  • Lead development of core platform services supporting logistics workflows.
  • Drive architectural decisions to ensure performance and reliability.

Skills

Production-grade backend systems
API design
Data pipelines
System integrations
Excellent communication
Technical judgment

Tools

AWS
Kubernetes

Job description

My client is hiring a Senior / Lead Backend Software Engineer to help build the logistics technology backbone required for large-scale combat operations. This is a high-ownership role at the intersection of advanced logistics algorithms, AI-enabled systems, and complex, real-world integrations—all in direct support of the warfighter at the tactical edge.

You’ll play a key role in shaping core backend systems, influencing technical direction, and ensuring production-grade reliability for software deployed in operational environments. You’ll work closely with experienced engineers, product leaders, and operational experts who prioritize impact, mission outcomes, and engineering excellence.

Base pay range

$165,000.00/yr - $250,000.00/yr

Seniority level: Mid-Senior level. Employment type: Full-time.

What You’ll Do
  • Own the design, development, and deployment of backend systems that power mission‑critical logistics software.
  • Lead the development and evolution of core platform services supporting tactical and operational logistics workflows.
  • Design and implement scalable APIs, data pipelines, and integrations across diverse and often constrained systems.
  • Drive architectural decisions to ensure performance, reliability, and maintainability in production environments.
  • Build systems that deliver real‑time visibility, predictive insights, and optimized logistics workflows.
  • Participate in—and often lead—technical design reviews, code reviews, and architecture discussions.
  • Serve as a technical escalation point for production issues, driving rapid diagnosis and resolution.
  • Collaborate closely with military stakeholders, product managers, and engineers to translate real-world sustainment needs into robust software solutions.
  • Contribute to engineering standards, best practices, and mentorship of junior engineers.
Qualifications
  • 6+ years of experience building and shipping production-grade backend systems or distributed software.
  • Proven experience designing APIs, data pipelines, and system integrations at scale.
  • Experience owning systems end-to-end, from design through deployment and ongoing operation.
  • Strong technical judgment with the ability to balance speed, reliability, and long-term maintainability.
  • Excellent communication skills and the ability to work cross-functionally in mission-driven environments.
Desired Qualifications
  • Experience building software for defense, aerospace, or other complex, high-reliability domains.
  • Familiarity with logistics, supply chain, or sustainment systems (especially in military contexts).
  • Experience deploying and operating systems in cloud environments (AWS, Kubernetes) and/or Edge environments.
  • Exposure to data engineering, analytics, or machine learning in operational or production settings.
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