Platform Software Engineer

San Diego, California

 ACL Digital
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Platform Software Engineer, APIs & Infrastructure
Onsite- San Diego CA
12 Months

Client: Shield AI
Rate: Market (be competitive)

Required Qualifications:
  • 8-15 + years of experience designing and delivering production-grade, scalable software systems.
  • dvanced proficiency with Golang and Python for systems programming and backend development.
  • 3+ years of experience with cloud computing platforms, container orchestration, and virtualization technologies (e.g., Kubernetes, Docker, VMware).
  • Expertise in designing and optimizing relational databases, data models, and high-throughput pipelines.
  • Strong understanding of network protocols (e.g., UDP, TCP) and hands-on experience with building distributed networked applications.
  • Familiarity with systems programming concepts such as concurrency, performance optimization, and resource management.
  • Experience deploying secure, reliable infrastructure in hybrid cloud and on-premises environments.
  • BS/MS in Computer Science, a related field, or equivalent practical experience.
  • Proven ability to work collaboratively, mentor team members, and deliver results in fast-paced, mission-driven environments.
Preferred Qualifications:
  • Experience with Helm charts and automated infrastructure deployment tools.
  • Familiarity with tools for low-level network analysis and debugging, such as Wireshark or Serf.
  • Knowledge of CUE for configuration management and schema validation.
  • Experience with virtualization platforms and hardware-in-the-loop (HIL) testing environments.
  • Background in aerospace, defense, or another highly regulated industry with a focus on secure and compliant software practices.
  • Experience building a productionized software development kit (SDK)
  • Proficiency in additional systems-level programming languages such as C or Rust.
  • Hands-on experience with distributed systems, event-driven architectures, and canary deployments.
What You'll Do:
  • Design and implement robust data models and database architectures to support distributed systems.
  • Develop scalable backend services and APIs to power Forge's infrastructure and tooling.
  • Build systems for virtualization, containerization, and orchestration, ensuring optimal performance across cloud, on-premises, and local environments.
  • rchitect and deploy resilient infrastructure for managing high-throughput data pipelines and complex simulation workloads.
  • Design and implement networked systems, integrating advanced protocols and middleware to enable seamless communication across autonomous agents and backend systems.
  • Contribute to tools and infrastructure that support secure, efficient deployment of Forge on varied hardware platforms.
  • Create and maintain clear, detailed documentation for internal and external users of Forge's platform capabilities.
Date Posted: 13 May 2025
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