Lead Python developer; GenAI​/Microservices focused

Overview Who we are

Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like  one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow.

with us.

An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company—delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.

To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

Toyota Financial Services seeks a motivated Senior Software Engineer with expertise in Python, AWS, and microservices to act as a hands‑on tech lead. You will design, build, and support scalable microservices and APIs, leveraging FastAPI and OpenAPI standards, while leading a squad of engineers. You will collaborate closely with architects, business stakeholders, data governance teams, and data scientists to deliver AI‑powered solutions, dashboards, and interactive user interfaces.

• Backend/API Development

  • Build and maintain RESTful APIs with Python (FastAPI; OpenAI/Bedrock SDKs as clients), containerized and deployed on AWS ECS Fargate.
  • Design clean contracts and versioned APIs; document with OpenAPI/Swagger.

• GenAI & RAG Integration

  • Integrate with AWS Bedrock and other GenAI services to enable RAG and knowledge‑base queries.
  • Work with vector databases (e.g., Pinecone, Weaviate, Open Search/Elasticsearch vector) for semantic search and retrieval.
  • Implement robust API clients for AI endpoints, including auth, throttling, retries, and error handling.

• AWS & Infrastructure

  • Configure API Gateway for secure routing, throttling, authentication/authorization.
  • Use IaC (Terraform or AWS Cloud Formation) for ECS/Fargate, API Gateway, IAM, networking.
  • Utilize AWS services: S3, Lambda, Open Search/Elasticsearch, Cloud Watch, Bedrock.

• CI/CD, Quality, and Testing

  • Build CI/CD pipelines (Git Hub Actions, Jenkins, or Code Pipeline) for automated build/test/deploy; use Git Hub/Git Lab and artifact repos (e.g., Artifactory).
  • Write unit, integration, and end‑to‑end tests with pytest; automate regression tests with QA.
  • Perform load/stress testing; analyze performance and reliability metrics.

• Observability & Operations

  • Implement centralized logging and metrics (Cloud Watch, Dynatrace; Elasticsearch/Open Search if needed); set up SLIs/SLO‑based alerts.
  • Troubleshoot incidents using logs, traces, and metrics; proactively address bottlenecks.

• Security & Governance

  • Implement SSO/OAuth2/JWT; follow AWS and Mule Soft integration security best practices where applicable.
  • Apply AI/application guardrails for safe, compliant usage; manage secrets and dependency scanning.

• Collaboration & Delivery

  • Work closely with data scientists, AI engineers, and architects to productize AI outputs as APIs.
  • Participate in sprint planning, code reviews, design discussions; maintain clear documentation.

• Education:
  
  Bachelor’s or higher in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience).
• Experience:
  
  5+ years in professional software engineering, including designing microservices and deploying containerized applications.
• Python Expertise:
  Strong experience building backend services and RESTful APIs with Python (FastAPI) and documenting with OpenAPI/Swagger.
• Cloud:
  Proficiency with AWS (e.g., ECS Fargate, API Gateway, Lambda, S3, Cloud Watch); familiarity with GenAI platforms (AWS Bedrock or equivalents).
• Infrastructure as Code:
  Practical experience with Terraform (and/or AWS Cloud Formation).
• Programming & Data:
  Hands‑on skills in Python, SQL; exposure to Java is a plus.
• Build & CI/CD:
  Proficiency with Git/Git…