Salary Range: 155000 to 312000 (Currency: USD) (Pay period: per-year-salary)

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. 

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. 
• Proficiency in additional systems-level programming languages such as C++ or Rust. 
• Hands-on experience with distributed systems, event-driven architectures, and canary deployments.