OverviewWho we're looking for Toyota Financial Services is seeking a motivated Senior Software Engineer with expertise in Python, FastAPI, AWS Glue Catalog, PyIcebeg, AWS S3, AWS Glue ETL, ECS Fargate and real-time streaming using AWS MSK. You will design, build, and support a scalable, serverless Data Lake platform leveraging Lambda, ECS containers, and API Gateway to enable real-time analytics and data processing. This role requires strong knowledge of microservices, AWS infrastructure setup, and architectural decision-making to deliver efficient, secure, and scalable solutions. As a hands-on tech lead, you will guide a squad of engineers and collaborate closely with architects, business stakeholders, and data governance teams to build robust data services and APIs.
What you'll be doing Lead/Senior Python Developer (Python, AWS, Microservices) - Requirements 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 to efficiently ingest, parse, and transform diverse data sources.
- Implement robust Python file parsing mechanisms to handle structured and unstructured data with accuracy. Ensure data quality and integrity through comprehensive auditing and data quality (DQ) checks integrated within the ETL workflows.
- 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 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.
- Implement SSO/OAuth2/JWT; follow AWS and MuleSoft integration security best practices where applicable.
- Apply API application guardrails for safe, compliant usage; manage secrets and dependency scanning.
Leadership & Delivery
- Own technical direction and architecture working with architecture group and Principal engineer for Python-based microservices and AWS services integrations with AWS Data Lake.
- 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.
What you bring - 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 in 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, CloudWatch);
- Infrastructure as Code: Practical experience with Terraform (and/or AWS CloudFormation).
- Programming & Data: Hands-on skills in Python, SQL
- 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 leadership and follow-through.
Added bonus if you have - Security/Compliance: Understanding of IAM, OAuth2/JWT, and secure coding practices; experience in regulated environments (e.g., SOC 2, HIPAA) is a plus.
- Observability: Experience with CloudWatch, Dynatrace, and centralized logging (OpenSearch/Elasticsearch).
- Testing: Comfort with pytest, integration/E2E testing, and performance testing
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
- Referral services related to prenatal services, adoption, childcare, schools, and more
- Tax Advantaged Accounts (Health Savings Account, Health Care FSA, Dependent Care FSA)
