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. * Advanced 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. * Architect 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.