Principal Engineer II - Software Development Engineering

• 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 workstreams. 

• 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, DevSecOps 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 testing and create the room for the team to test it — running time-boxed experiments and prototypes against architecture, tooling, and emerging technology, and turning what proves out into standards. 

• Stay close to the operation. Spend time with the supply chain teams who depend on these platforms so architecture and design decisions reflect how the work actually runs. 

• Champion a culture of accountability, curiosity, experimentation, continuous learning, technical excellence, and inclusive leadership across the engineering organization. 

• 8+ years designing and delivering complex enterprise software solutions, including large-scale transformation initiatives. 

• 5+ years of deep experience with cloud-native architecture on AWS, distributed systems, modern integration patterns, and scalable platform design. 

• 5+ years delivering modern software solutions using technologies such as React, Node.js (TypeScript), PostgreSQL/MongoDB, REST APIs, Docker, Terraform, and Serverless, with contemporary DevOps and platform-engineering practices. 

• Demonstrated success setting technical direction, influencing across multiple teams, and partnering effectively with engineering, product, architecture, and business stakeholders. 

• Ability to balance technical excellence, delivery outcomes, AI-enabled engineering capabilities, and cost optimization in a complex enterprise environment. 

• Demonstrated use of AI as an assistant in your own engineering work, and experience raising that capability across a team — with the judgment to know where it helps, where it does not, and how to hold quality, security, and review standards. 

• A track record of digging to root cause on hard, ambiguous problems, and of understanding the business problem before reaching for a solution. 

• Experience leading in a cross-functional team model where engineering and operations share one goal, and comfort re-forming teams as priorities move. 

Technical Expertise 

• Expertise in enterprise architecture, system design, domain-driven design, and technical decision-making for scalable platforms. 

• Ability to lead complex design discussions spanning cloud-native architectures, APIs, event-driven systems, security, observability, reliability, and operational excellence. 

• Experience applying AI-enabled engineering capabilities to improve developer effectiveness, accelerate delivery, and strengthen quality and operational efficiency at scale. 

• Demonstrated ability to incorporate cost-optimization principles into architecture, cloud platform decisions, and engineering delivery. 

• Experience integrating data, analytics, and AI/ML capabilities into production-grade enterprise platforms. 

Leadership Capabilities 

• Experience leading or coordinating multiple software development teams across complex enterprise initiatives. 

• Demonstrated ability to mentor senior engineers and technical leads, influence without authority, and step into direct leadership when needed. 

• Strong experience aligning roadmaps, managing dependencies, and driving execution across cross-functional stakeholders and shared priorities. 

• Ability to lead adoption of AI-enabled delivery capabilities across teams with appropriate standards, governance, and enablement. 

• Excellent communication skills, with the ability to articulate technical strategy, tradeoffs, and delivery status to technical and non-technical audiences. 

Added bonus if you have  

• Experience in globally distributed, high-performing teams and asynchronous delivery environments. 

• Experience leading or contributing to large-scale transformation initiatives. 

• Experience with supply chain, manufacturing, logistics, or fulfillment platforms at enterprise scale. 

• AWS certifications, such as Solutions Architect. 

• SAFe or other agile delivery certifications. 

• Experience developing innovative tooling that improves cross-functional productivity and engineering effectiveness. 

• Experience building with LLMs, AI agents, or AI-assisted development platforms in production enterprise environments. 

• Experience introducing an emerging technology into an enterprise organization — from evaluation and pilot through standards and adoption. 

What we'll bring 

During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include: 

• A work environment built on teamwork, flexibility, and respect 

• Professional growth and development programs to help advance your career, as well as tuition reimbursement 

• Team Member Vehicle Purchase Discount 

• Toyota Team Member Lease Vehicle Program (if applicable) 

• Comprehensive health care and wellness plans for your entire family 

• Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute (if applicable) 

• Paid holidays and paid time off 

• Referral services related to prenatal services, adoption, childcare, schools and more 

• Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA) 

• Relocation assistance (if applicable)