Senior Software Engineer (Repair and Reliability)

Requirements

• You are likely a strong fit if you:
• Have experience building reliable production systems in operationally complex environments
• Can turn ambiguous reliability and maintenance problems into durable software systems others depend on
• Combine strong backend and systems engineering judgment with product instinct and operational awareness
• Care deeply about correctness, reliability, safety, and operator trust
• Can simplify operational complexity and design abstractions that scale across fleets, assets, and workflows
• Thrive in environments where software, hardware, and operations are tightly coupled
• Are comfortable owning systems with real-world consequences and high expectations for reliability
• Want to shape architecture, operational workflows, and long-term platform direction, not just implement scoped features
• This role is best suited to engineers who want to own critical operational systems, make consequential technical decisions, and help scale the reliability backbone of a real‑world autonomous logistics network

What the job involves

• The Repair and Reliability Platform team builds the systems that preserve asset health and keep the delivery network operational as aircraft, infrastructure, and fleet complexity scale. We create software that detects issues in live operations, orchestrates maintenance and repair workflows, evaluates airworthiness, and helps technicians return constrained assets to service quickly and safely
• This team owns the operational backbone that connects fleet health, maintenance execution, technician operations, and return‑to‑service decisions into a single reliability platform. The systems we build directly influence aircraft availability, delivery capacity, operational safety, and the network’s ability to scale reliably
• You will own software in the critical path of fleet reliability and maintenance operations, including:
• Fleet health and asset visibility systems that track the operational state of aircraft, infrastructure, and distributed site assets
• Maintenance orchestration platforms for issue management, work orders, technician workflows, and scheduled maintenance execution
• Airworthiness and configuration control systems that evaluate whether aircraft can safely return to service
• Usage tracking and lifecycle systems that monitor component wear and drive preventative maintenance policies
• Operational tooling used by maintenance teams, service engineering, and flight operations to diagnose issues, coordinate interventions, and maintain fleet readiness
• Reliability automation and event‑driven systems that connect live operational signals to issue detection and repair workflows
• Hard problems, real ownership:
• Most software roles optimize digital experiences. This role helps maintain and restore a live autonomous logistics network
• You will work on problems like:
• Maintaining trustworthy real‑time visibility into fleet health across aircraft, infrastructure, and distributed operational sites
• Preventing avoidable downtime by detecting degradation before it impacts delivery operations
• Building systems that connect issue detection to fast, correct maintenance execution and return‑to‑service decisions
• Designing operational tooling that helps technicians and operators make reliable decisions under time pressure
• Evaluating airworthiness and maintenance policy compliance at fleet scale
• Managing maintenance workflows across a globally distributed network with evolving hardware configurations and operational constraints
• These are production systems with immediate operational consequences. The software you build directly impacts fleet availability, operational safety, delivery capacity, and operator trust
• You will own critical parts of the platform end to end, make technical and product decisions, and shape how reliability systems scale across the network
• How we work:
• This team operates with high ownership, high trust, and a high technical bar. Engineers are expected to identify important operational problems, develop a clear point of view on how systems should behave, and drive solutions from concept through production
• We value engineers who combine strong systems thinking with operational empathy and who care deeply about building software operators and technicians can trust under real‑world conditions
• We also expect engineers to use AI tooling effectively as a force multiplier across exploration, implementation, debugging, and operational analysis, while maintaining strong engineering rigor, judgment, and accountability