Lead Software Engineer (Python, API Microservices, Devops))

Toyota North America • Plano, TX

7d • Hybrid

About The Position

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.

Requirements

• Bachelor’s or higher in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience).
• Strong experience building backend services and RESTful APIs with Python (FastAPI) and documenting with OpenAPI/Swagger.
• Strong Experience in building ETL pipelines using Glue ETL, Glue Catalog, AWS S3, Lambda and ECS.
• Proficiency with AWS (e.g., ECS Fargate, API Gateway, Lambda, S3, CloudWatch).
• Practical experience with Terraform (and/or AWS CloudFormation).
• Hands-on skills in Python, SQL
• Proficiency with Git/GitHub, CI/CD tools (GitHub Actions, Jenkins); familiarity with build tools (Gradle/Maven) where Java is used.
• Clear, concise communicator who can influence decisions with data, presentations, and visualizations.
• Effective collaborator in a hybrid environment; able to work independently with strong leadership and follow-through.

Nice To Haves

• Understanding of IAM, OAuth2/JWT, and secure coding practices; experience in regulated environments (e.g., SOC 2, HIPAA) is a plus.
• Experience with CloudWatch, Dynatrace, and centralized logging (OpenSearch/Elasticsearch).
• Comfort with pytest, integration/E2E testing, and performance testing.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• 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)

What This Job Offers

• Job Type: Full-time
• Career Level: Senior