OverviewThis position is based in Plano, TX.Who We're Looking ForToyota Financial Services is seeking a
Technical Engineering Director to lead the design, development, modernization, and delivery of enterprise-scale solutions across Auto Loan Originations, Dealer Platforms, Consumer Lending, and Credit Decisioning systems.
This is a hands-on technology leadership role responsible for driving engineering strategy, architecture, platform modernization, and software delivery. The ideal candidate combines deep software engineering expertise with a strong understanding of automotive finance and lending ecosystems and can provide technical leadership across distributed engineering teams.
The successful candidate will be responsible for building scalable, secure, resilient, and high-performing platforms while leading engineers through complex business and technology transformations.
What You'll Be DoingAs a Technical Engineering Director, you will:
- Lead the architecture, design, and development of mission-critical applications supporting auto loan originations, dealer desking, credit decisioning, pricing, incentives, funding, and servicing workflows.
- Provide hands-on technical leadership and engineering direction to multiple Agile development teams.
- Drive engineering best practices across architecture, coding standards, API design, security, observability, resiliency, and cloud-native development.
- Partner with Product Management, Enterprise Architecture, Security, and Business teams to translate business objectives into scalable technical solutions.
- Lead solution architecture reviews and technical design sessions to ensure long-term maintainability and platform scalability.
- Guide engineering teams through complex integrations with internal and external systems, including dealer platforms, credit bureaus, identity providers, and third-party vendors.
- Establish and enforce engineering standards for: Microservices Architecture, API-First Development, Event-Driven Systems, CI/CD Pipelines, Cloud-Native Applications, and Secure Software Development Practices
- Drive modernization initiatives involving legacy platform decomposition, application refactoring, and migration to modern cloud architectures.
- Oversee application performance, reliability, availability, security, and production readiness.
- Partner with DevOps and SRE teams to improve operational excellence through automation, monitoring, alerting, and incident management practices.
- Mentor and develop engineers, technical leads, and architects while fostering a culture of engineering excellence and continuous learning.
- Participate in key technical decisions, architecture reviews, code reviews, and production support escalations when needed.
- Promote the adoption of AI-assisted development tools, engineering productivity platforms, and modern software engineering practices.
Technical Leadership Responsibilities- Define and communicate the technical roadmap for Originations and Dealer Platform initiatives.
- Ensure alignment with enterprise architecture standards and technology strategy.
- Lead architecture decisions involving: Spring Boot Microservices, Event-Driven Architecture, API Gateways, Auth0 and modern Identity & Access Management (IAM) solutions, Container Platforms, and Cloud Services
- Evaluate and implement emerging technologies that improve reliability, scalability, security, developer productivity, and customer experience.
- Drive technical governance, architecture reviews, and engineering quality standards across teams.
- Collaborate with business and technology leaders to ensure engineering investments align with strategic objectives.
Engineering Excellence- Establish engineering metrics focused on: Code Quality, Test Automation, Deployment Frequency, Lead Time, Change Failure Rate, and System Reliability
- Drive continuous improvements in: CI/CD Maturity, Release Automation, Security Practices, Technical Debt Reduction, Observability and Monitoring
- Foster a culture of accountability, ownership, innovation, and continuous improvement.
- Ensure engineering teams consistently deliver secure, scalable, and maintainable solutions.
What You Bring- Bachelor's degree in Computer Science, Software Engineering, Engineering, or a related field.
- 10+ years of software engineering experience, including leadership of enterprise engineering teams.
- Proven experience designing and delivering large-scale distributed systems.
- Strong hands-on expertise in: Java, Spring Boot, Microservices Architecture, REST APIs, Event-Driven Systems, and Integration Patterns
- Experience building cloud-native applications using Azure, AWS, or Google Cloud Platform.
- Strong understanding of: Containerization (Docker, Kubernetes, OpenShift), CI/CD Pipelines, DevSecOps Practices, API Management, Identity & Access Management (IAM), Auth0, OAuth2/OpenID Connect (OIDC), Single Sign-On (SSO), and Role-Based Access Control (RBAC)
- Experience leading architecture and integration efforts across multiple platforms and teams.
- Deep understanding of SDLC, Agile delivery methodologies, and engineering operating models.
- Ability to balance strategic planning with hands-on technical execution.
- Strong leadership, communication, and stakeholder management skills.
Domain & Platform Experience- Strong understanding of auto finance, consumer lending, loan originations, and dealer ecosystems.
- Experience delivering solutions involving: Dealer Desking, Credit Decisioning, Loan Originations, Rehashing, Pricing Engines, Incentives and Subvention Programs, and Funding Workflows
- Knowledge of regulatory, compliance, security, and operational considerations within financial services environments.
Preferred Experience- Experience leading engineering teams supporting Auto Finance or Consumer Lending platforms.
- Experience integrating with: Experian, TransUnion, Equifax, Plaid, Dealertrack, RouteOne
- Experience with: Auth0, OAuth2, OIDC, SAML, and JWT-based authentication, API Gateway technologies, Apache Camel, Event Streaming Platforms (Kafka, Event Hub, etc.) and Enterprise Integration Patterns
- Experience implementing cloud-native architectures and platform modernization initiatives.
- Exposure to AI-assisted software development and engineering productivity tools such as GitHub Copilot.
- Demonstrated success improving engineering maturity, delivery performance, platform reliability, and operational excellence.
