Lead​/Senior Python Developer; Python, AWS, Microservices

Overview

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. Toyota Financial Services (TFS) is the finance and insurance brand for Toyota and Lexus in North America and is a separate business entity that delivers best‑in‑class customer experience in an innovative, collaborative environment.

This role does not sponsor employment‑based work authorization. We are looking for a motivated Senior Software Engineer with expertise in Python, FastAPI, AWS Glue, AWS Lake to design, build, and support a scalable, serverless Data Lake platform. The engineer will lead a squad of engineers and collaborate closely with business stakeholders and data governance teams.

We seek a leader with strong knowledge of microservices, AWS infrastructure, and architectural decision‑making to deliver secure, efficient, and scalable solutions, and who can mentor peers and drive continuous improvement.

• Backend/API Development
  • Build and maintain RESTful APIs with Python, containerized and deployed on AWS ECS Fargate.
  • Design clean contracts and versioned APIs; document with Open API/Swagger.
• Data Engineering Development
  • Design and develop Python‑based ETL pipelines using AWS Glue ETL and Glue Catalog.
  • Implement robust Python file parsing mechanisms to handle structured and unstructured data with accuracy.
  • Design and develop an AWS S3 to Snowflake integration that leverages PyIceberg for efficient file format management and data versioning.
• 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.
  • Write unit, integration, and end‑to‑end tests with pytest; automate regression tests.
  • 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 best practices where applicable.
  • Apply API application guardrails for safe, compliant usage; manage secrets and dependency scanning.
• Leadership
  • Own technical direction and architecture working with the principal engineer and architecture group.
  • Break down roadmaps into milestones; drive estimations, delivery predictability, and risk management.
  • Lead design reviews, establish engineering standards, and approve critical architectural decisions.
  • Mentor engineers; provide feedback and growth plans; foster high‑quality code and documentation.

• Education:
  
  Bachelor’s or higher in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience).
• Python Expertise:
  Strong experience building backend services and RESTful APIs with Python (FastAPI) and documenting with OpenAPI/Swagger.
• Data Engineering:
  Strong experience building ETL pipelines using Glue ETL, Glue Catalog, AWS S3, Lambda and ECS.
• Cloud:
  Proficiency with AWS (e.g., ECS Fargate, API Gateway, Lambda, S3, Cloud Watch).
• Infrastructure as Code:
  Practical experience with Terraform (and/or AWS Cloud Formation).
• Programming & Data:
  Hands‑on skills in Python, SQL.
• Build & CI/CD:
  Proficiency with Git/Git Hub, CI/CD tools (Git Hub Actions, Jenkins); familiarity with build tools (Gradle/Maven).
• 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 leadership and follow‑through.

• Security/Compliance:
  Under…