채용
필수 스킬
Python
AWS
Terraform
Overview
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As 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. We’re looking for talented team members who want to Dream. Do. Grow. with us.
An important part of the Toyota family is Toyota Financial Services (TFS), the finance and insurance brand for Toyota and Lexus in North America. While TFS is a separate business entity, it is an essential part of this world-changing company- delivering on Toyota's vision to move people beyond what's possible. At TFS, you will help create best-in-class customer experience in an innovative, collaborative environment.
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 We’re Looking For
Toyota Financial Services seeks a motivated Senior Software Engineer with expertise in Python, AWS, and microservices. You will design, build, and support scalable microservices and APIs, leveraging FastAPI and OpenAPI standards. 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.
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Design clean contracts and versioned APIs; document with OpenAPI/Swagger.
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Gen
AI & RAG Integration:
Integrate with AWS Bedrock and other GenAI services to enable RAG and knowledge-base queries.
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Work with vector databases (e.g., Pinecone, Weaviate, Open Search/Elasticsearch vector) for semantic search and retrieval.
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Implement robust API clients for AI endpoints, including auth, throttling, retries, and error handling.
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AWS & Infrastructure
Configure API Gateway for secure routing, throttling, authentication/authorization.
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Use IaC (Terraform or AWS CloudFormation) for ECS/Fargate, API Gateway, IAM, networking.
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Utilize AWS services: S3, Lambda, Open Search/Elasticsearch, CloudWatch, Bedrock.
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CI/CD, Quality, and Testing
Build CI/CD pipelines (GitHub Actions, Jenkins, or Code Pipeline) for automated build/test/deploy; use GitHub/GitLab and artifact repos (e.g., Artifactory).
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Write unit, integration, and end-to-end tests with pytest; automate regression tests with QA.
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Perform load/stress testing; analyze performance and reliability metrics.
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Observability & Operations
Implement centralized logging and metrics (CloudWatch, Dynatrace; Elasticsearch/Open Search if needed); set up SLIs/SLO-based alerts.
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Troubleshoot incidents using logs, traces, and metrics; proactively address bottlenecks.
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Security & Governance
Implement SSO/OAuth2/JWT; follow AWS and Mule Soft integration security best practices where applicable.
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Apply AI/application guardrails for safe, compliant usage; manage secrets and dependency scanning.
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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
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Education: Bachelor’s or higher in Computer Science, Information Systems, Data Engineering, or related field (or equivalent experience).
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Experience: 3+ years in professional software engineering, including designing microservices and deploying containerized applications.
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Python Expertise: Strong experience building backend services and RESTful APIs with Python (FastAPI) and documenting with OpenAPI/Swagger.
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Cloud: Proficiency with AWS (e.g., ECS Fargate, API Gateway, Lambda, S3, CloudWatch); familiarity with GenAI platforms (AWS Bedrock or equivalents).
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Infrastructure as Code: Practical experience with Terraform (and/or AWS CloudFormation).
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Programming & Data: Hands-on skills in Python, SQL; exposure to Java is a plus.
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Build & CI/CD: Proficiency with Git/GitHub, CI/CD tools (GitHub Actions, Jenkins); familiarity with build tools (Gradle/Maven) where Java is used.
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Communication: Clear, concise communicator who can influence decisions with data, presentations, and visualizations.
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Ways of Working: Effective collaborator in a hybrid environment; able to work independently with strong ownership and follow-through.
Added bonus if you have
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Master’s degree in Information Systems, Data Engineering, or Data Analytics.
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Any AI practitioner certification.
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Frontend/Tools: Experience creating internal tools or dashboards with Streamlit.
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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:
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A work environment built on teamwork, flexibility, and respect
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Professional growth and development programs to help advance your career, as well as tuition reimbursement
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Team Member Vehicle Purchase Discount
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Toyota Team Member Lease Vehicle Program (if applicable)
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Comprehensive health care and wellness plans for your entire family
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Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
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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 talent.acquisition@toyota.com.
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Toyota USA 소개

Toyota USA
PublicToyota Motor Sales U.S.A., Inc. is the American sales and marketing subsidiary of Toyota Motor Corporation, responsible for distributing Toyota and Lexus vehicles in the United States. The company operates dealership networks and provides automotive financing and service support across North America.
10,001+
직원 수
Toyota City
본사 위치
$200B
기업 가치
리뷰
3.7
10개 리뷰
워라밸
3.2
보상
3.8
문화
4.0
커리어
2.8
경영진
2.5
68%
친구에게 추천
장점
Good benefits and comprehensive health benefits
Supportive colleagues and friendly work environment
Good pay and decent compensation
단점
Poor management and lack of direction
Limited career advancement and slow promotion
High workload and overwhelming work pressure
연봉 정보
0개 데이터
Junior/L3
Senior/L5
Staff/L6
Junior/L3 · Data Scientist Level 15
0개 리포트
$161,167
총 연봉
기본급
-
주식
-
보너스
-
$137,092
$185,242
면접 경험
50개 면접
난이도
3.3
/ 5
소요 기간
14-28주
합격률
38%
경험
긍정 60%
보통 26%
부정 14%
면접 과정
1
Phone Screen
2
Technical Interview
3
Hiring Manager
4
Team Fit
자주 나오는 질문
Technical skills
Past experience
Team collaboration
Problem solving
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