Lead Python developer (GenAIMicroservices focused)

Overview

Who we are

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.

Who Were 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 Youll 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 Youll Bring

• Education: Bachelors 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

• Masters 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 well 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 .