Staff Software Engineer (Distributed Systems and Orchestration)

Fresh Consulting is seeking a Staff Software Engineer to lead the core scheduling and orchestration subsystems of its Orbital Compute platform. The role will own the development and scaling of an autonomous scheduling MVP, build a secure and reliable distributed computing engine for edge environments, and collaborate with cross-functional engineering teams while providing technical leadership and mentorship.

Responsibilities:

• Serve as lead engineer for the core scheduling and orchestration subsystems of Compute platform
• Own the product and engineering of an MVP for autonomous scheduling across a fleet of compute nodes, incorporating lessons learned from early proofs of concept (POCs)
• Scale the MVP from a handful of satellites to larger fleets, incorporating data sovereignty as a core product feature
• Design and build a distributed computing engine with performance, reliability, and security as fundamental building blocks
• Build scheduling, orchestration, and workload-placement logic for edge computing environments, accounting for intermittent or disconnected connectivity, limited resources, and autonomous operation
• Partner with software, hardware, security, and systems engineers to deliver customer-focused solutions, balancing best practices with time-to-market
• Provide technical leadership and mentorship, and give and receive productive feedback during collaboration and in design and code reviews
• Deliver iteratively and quickly in a fast-paced environment with significant ambiguity
• Perform additional job duties as assigned

Requirements:

• Bachelor of Science in Computer Science, Computer Engineering, or another related technical discipline, or equivalent professional experience
• [8]+ years of professional software development experience, with strong proficiency in a systems language such as Go, Rust, C++, or Java
• Deep experience designing, building, and operating distributed systems at scale
• Experience with scheduling, orchestration, or resource-management systems (e.g., Kubernetes, Nomad, or custom orchestrators)
• Demonstrated experience taking products from MVP or proof of concept to production scale
• Experience engineering for performance, reliability, and fault tolerance in distributed environments
• Experience with git distro (such as GitLab) and CI/CD tools
• Track record of making things happen in ambiguous, fast-moving environments
• Uses good judgement to problem-solve proactively, positively impacting hard challenges
• Demonstrated organization skills to meet tight deadlines with high quality results
• Prefer experience treating security and/or data sovereignty as core product requirements
• Prefer experience with autonomous, self-managing, or self-healing systems