Principal Engineer II - Software Development Engineering
Listed on 2026-08-26
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Software Development
Software Architect, Software Project Mgr/ Lead
Principal Engineer, Software Development Engineering
Toyota's Digital Innovations group within TMNA's Supply Chain organization is seeking a highly experienced Principal Engineer to lead the technical strategy and execution of Supply Chain transformation initiatives. This is an engineering leadership role that combines deep technical expertise, architectural leadership, and accountability for delivery across complex software portfolios.
As a Principal Engineer, Software Development Engineering, you will set technical direction, lead complex engineering decisions, and guide execution across multiple development teams in alignment with business priorities. While this role is grounded in principal-level technical leadership, it also requires the ability to shape team operating models, influence delivery practices, and step into direct leadership across one or more engineering teams when needed.
You will partner with engineering leaders, enterprise architects, product teams, and business stakeholders to deliver scalable solutions, remove execution barriers, and drive measurable business impact, while advancing AI-enabled delivery capabilities to elevate engineering productivity, accelerate execution, and strengthen solution quality.
This position reports to the Senior Manager, Digital Innovations and plays a critical role in advancing engineering standards, accelerating digital transformation, and scaling delivery excellence across supply chain platforms.
You will work as part of a fusion team — engineers, product, and supply chain operators working to a shared goal and a shared backlog, rather than a technology group taking requests from a business group. This is how Digital Innovations operates. Engineers are assigned to fusion teams based on priority and need and move between teams and across different parts of the supply chain as those priorities shift;
in this role you will help set those teams up to succeed and keep engineering standards consistent as people move.
- Define and advance the technical vision for large-scale supply chain platforms, ensuring alignment with business priorities, enterprise architecture, and long-term scalability objectives.
- Lead architecture and design decisions across products and development teams, balancing speed, quality, resiliency, security, maintainability, and cost optimization.
- Provide principal-level technical leadership across the full solution lifecycle, from discovery and architecture through implementation, deployment, and operational support.
- Mentor engineers, technical leads, and engineering managers to elevate technical excellence and strengthen engineering capability across the organization.
- When needed, directly lead multiple development teams by setting priorities, coordinating execution, and establishing effective delivery rhythms across parallel work streams.
- Drive disciplined execution through scaled agile delivery practices — clear user stories, defined acceptance criteria, effective dependency management, risk mitigation, and measurable outcomes across the development lifecycle.
- Work side by side with product, operations, architecture, and platform partners to shape strategic priorities into actionable technical roadmaps and execution plans.
- Lead rigorous technical discussions and challenge design decisions to ensure solutions meet business objectives, technical feasibility, and operational excellence standards.
- Establish and champion modern engineering practices — cloud-native architectures, Dev Sec Ops automation, observability, reliability engineering, and high-quality software delivery standards.
- Identify cross-team dependencies and organizational bottlenecks, and drive alignment and decision-making across engineering teams and stakeholder groups.
- Provide senior leadership with clear visibility into technical direction, delivery health, risks, tradeoffs, and key decisions.
- Set the standard for AI-assisted engineering: use AI as an assistant in your own work, and define where and how teams apply it to improve efficiency, quality, and outcomes — with clear expectations for review, security, and code quality.
- Decide what is worth…
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