Sr. Principal Software Engineer, Last Mile Delivery Tech , Delivery Technology Org (dto)

Amazon Amazon · Big Tech · Bellevue, WA · Software Development

Sr. Principal Engineer to lead the transformation toward automated, intelligent delivery stations by developing deep understanding of Amazon's delivery station operations and automation technologies, focusing on the convergence of software systems, IoT, and Material Handling Equipment (MHE). This role will be instrumental in defining and executing our strategy to achieve operational efficiencies through innovative automation solutions while maintaining operational excellence.

What you'd actually do

  1. Lead the technical strategy and architecture for UTR Tech organization, overseeing hundreds of services including critical Tier 1 systems for package sortation and operator experience.
  2. Define and execute the automation roadmap integrating MHE automation and IoT approaches, targeting significant operational efficiencies as part of our long-term vision.
  3. Design and implement modular automation solutions for multiple operational processes, balancing innovation with ROI constraints.
  4. Drive technical decisions across multiple VP organizations, influencing 350+ engineers globally while partnering with central engineering and innovation teams.
  5. Architect scalable solutions that combine hardware (robotics, CNC systems) with software (AI-driven optimization, real-time tracking, preventative maintenance).

Skills

Required

  • 10+ years of professional software development experience
  • 8+ years of programming experience with at least one modern language such as Java, C++
  • 8+ years contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems

Nice to have

  • Advanced degree in Computer Science or a related field
  • 2+ years hands-on experience as a senior Principal Engineer leading multiple software engineering teams
  • Experience shipping successful large-scale supply chain projects
  • Experience partnering with Research Science or Machine Learning experts to drive optimizations using the latest techniques.

What the JD emphasized

  • industrial-scale automation solutions
  • software architecture and industrial automation systems
  • autonomous mobile robots, storage and retrieval systems, and IoT solutions
  • hardware (robotics, CNC systems) with software (AI-driven optimization, real-time tracking, preventative maintenance)
  • LiDAR-based solutions and autonomous systems
  • large-scale supply chain projects

Other signals

  • AI/ML to create intelligent solutions
  • AI-driven optimization
  • partnering with Research Science or Machine Learning experts