William Matelich

About William Matelich

Technical Program Manager with 20+ years of experience leading complex engineering programs across aerospace, consumer and industrial products, cloud infrastructure, and large-scale test systems.I specialize in driving AI-enabled engineering operations, building scalable test ecosystems, and leading cross-functional teams across hardware, software, and infrastructure. My work sits at the intersection of program leadership, reliability engineering, and emerging AI systems helping organizations move faster, reduce risk, and make better decisions with data.Currently supporting satellite system development on Amazon’s Project LEO (Kuiper), where I lead initiatives integrating Hardware redesign, Generative AI, predictive analytics, and automated test frameworks into global engineering workflows.Previously:•Led a 14-person engineering team at Microsoft delivering reliability systems across multiple product lines.•Managed multi-million-dollar propulsion test programs at Blue Origin.•Improved system performance, yield, and troubleshooting speed through automation and AI-driven insights.What I Bring:•Technical Program Leadership across HW/SW/Cloud systems.•AI integration into engineering, test, and operations workflows.•Deep expertise in test automation, reliability, and failure analysis.•Proven ability to align teams, systems, and business goals at scale.Key Results: 30% reduction in troubleshooting time 15–20% improvement in first-pass yield 35% faster failure analysis turnaroundBuilt and scaled AI-driven test and monitoring systems

Experience

1. Operations Test Engineer Software Dev-ops at Amazon Project Kuiper

   Amazon

   Sep 2025 — Present · Redmond, WA, US

   Technical program leader driving the development and scaling of satellite test systems and engineering operations for Amazon’s Project LEO (Kuiper). Partner across software, test, and infrastructure teams to deliver automated, data-driven, and resilient test ecosystems supporting next-generation space systems.Bridge hardware, software, and cloud infrastructure to align multi-lab test environments, CI/CD pipelines, and data systems with program milestones and business objectives. Lead cross-functional execution to improve system reliability, accelerate validation cycles, and scale operations globally.Key ImpactDesigned and implemented AI-driven test automation and predictive analytics solutions, reducing non-conformances and improving test flow efficiencyArchitected and governed multi-lab test environments, enabling scalable and standardized operations across teamsLed CI/CD and automation strategy, integrating cloud platforms and modern DevOps practices into test workflowsImproved defect detection and resolution through AI-powered triage and anomaly detection systemsEnabled faster decision-making and knowledge sharing via Generative AI for automated reporting and intelligent debuggingCore Leadership AreasProgram & Systems Leadership: Drive program-level alignment across engineering, manufacturing, and operations teamsAI & Automation: Scale AI-assisted testing, predictive monitoring, and intelligent workflow automationTest & Reliability Strategy: Develop and execute end-to-end test strategies across functional, regression, and integration domainsOperational Excellence: Standardize tools, processes, and data pipelines to improve efficiency and system healthTechnical ScopePython • CI/CD (Jenkins, GitLab CI) • AWS / Azure / GCP • Docker • Kubernetes • LinuxAutomated Test Systems • Data Pipelines • Generative AI (test generation, reporting, predictive analytics)

Education

• CAE Northwest

  Certificate, Solidworks Advanced Certification

  2004 — 2004

• CAE Northwest

  Certificate, Solidworks Advanced Surfacing Certification

  2005 — 2005

• CAE Northwest

  Certificate, Solidworks Industrial Design Certification

  2006 — 2006

• CAE Northwest

  Certificate, Solidworks Fundamentals Certification

  2004 — 2004

• ITT Technical Institute

  AA, Computer Science

  1996 — 1998

• CAE Northwest

  Certificate, Solidworks Routing Certification

  2005 — 2005