Lead Python developer (GenAI/Microservices focused)

offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.

Who We're Looking For

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.

What You'll Do

• 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, OpenSearch/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 CloudFormation) for ECS/Fargate, API Gateway, IAM, networking.
  • Utilize AWS services: S3, Lambda, OpenSearch/Elasticsearch, CloudWatch, Bedrock.
• CI/CD, Quality, and Testing
  • Build CI/CD pipelines (GitHub Actions, Jenkins, or CodePipeline) for automated build/test/deploy; use GitHub/GitLab 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 (CloudWatch, Dynatrace; Elasticsearch/OpenSearch 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 MuleSoft 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.

What You'll Bring

• 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, CloudWatch); familiarity with GenAI platforms (AWS Bedrock or equivalents).

• Infrastructure as Code: Practical experience with Terraform (and/or AWS CloudFormation).

• Programming & Data: Hands-on skills in Python, SQL; exposure to Java is a plus.

• Build & CI/CD: Proficiency with Git/GitHub, CI/CD tools (GitHub Actions, Jenkins); familiarity with build tools (Gradle/Maven) where Java is used.

• Communication: Clear, concise communicator who can influence decisions with data, presentations, and visualizations.

• Ways of Working: Effective collaborator in a hybrid environment; able to work independently with strong ownership and follow-through.

Added bonus if you have

• Master's degree in Information Systems, Data Engineering, or Data Analytics.

• Any AI practioner certification.

• Frontend/Tools: Experience creating internal tools or dashboards with Streamlit (nice to have).

• Hands-on experience with AWS ECS Fargate, API Gateway, Lambda, EC2, S3, AWS Bedrock, and GenAI platforms.

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

• Paid holidays and paid time off

Belonging at Toyota

Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong.

Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.

Have a question, need assistance with your application or do you require any special accommodations? Please send an email to [email protected] .