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职位Ford

Software Engineer

Ford

Software Engineer

Ford

Chennai, Tamil Nadu, India, IN

·

On-site

·

Full-time

·

1w ago

As an Expert Full Stack Software Engineer, you will work on a Balanced Product Team, collaborating closely with Product Managers, Product Designers, Business Customers, and other engineers to deliver end-to-end solutions. You will be responsible for the architecture, development, and ongoing support of high-performing full stack applications.

  • Full Stack Development:

Architect, design, and develop responsive, high-performance web applications using Angular on the front-end and robust APIs/microservices (Python/Java/Node) on the back-end.

  • Cloud Architecture (GCP):

Leverage deep expertise in Google Cloud Platform to design scalable, secure, and resilient cloud-native solutions.

  • Product & Requirements Management:

Participate in and lead the technical breakdown of requirements, features, user stories, and use cases. Actively participate in agile ceremonies.

  • Software Craftsmanship:

Champion software best practices, including e Xtreme Programming (XP), Test-Driven Development (TDD), paired programming, and clean code principles. Ensure code quality through automated testing and security scanning.

  • CI/CD & Operations:

Build and maintain automated deployment pipelines (Infrastructure as Code). Generate metrics, manage access authorizations, and ensure smooth operational support.

  • Incident & Problem Management:

Lead root cause analysis (RCA) and proactive problem management/defect prevention activities for your product portfolio.

The minimum requirements we seek:

  • 10+ years of progressive experience in Software Engineering.
  • Bachelor’s degree in Computer Science, Computer Engineering, or a combination of education and equivalent experience.
  • 5+ years of expert-level experience with Angular, including deep knowledge of TypeScript, RxJS, state management (e.g., Ng Rx), and modern front-end build tools.
  • 5+ years of expert-level experience developing for and deploying to Google Cloud Platform (GCP), including hands-on experience with cloud-native architectures, serverless computing, and GCP services.
  • Applied AI Experience:

Hands-on experience integrating Large Language Models (LLMs) and building Agentic AI workflows into enterprise software applications.

  • Proven full-stack development experience encompassing:
  • Frontend frameworks:

Angular (Expert)

  • Backend languages/frameworks:

Python, Java, or Node.js

  • Data & Cloud Engineering tools:

Big Query, Cloud Run, Dataflow, Dataproc, Terraform, Tekton, Astronomer/Airflow, etc.

  • Deep understanding, practice, and advocacy for software engineering disciplines from e Xtreme Programming (XP), Clean Code, and Lean, including:
  • Test-first/Test-Driven Development (TDD)
  • Paired / Extreme programming
  • Evolutionary design & Minimum Viable Product (MVP) delivery
  • Code quality and security tools (FOSSA, Sonar Qube, 42Crunch, etc.)
  • A strong curiosity around how to best use technology to amaze and delight our customers, coupled with a willingness to collaborate daily with team members.

Our preferred qualifications:

  • Advanced AI/ML Capabilities:

Deep understanding of Generative AI architectures, including RAG (Retrieval-Augmented Generation), advanced prompt engineering, and utilizing AI frameworks (e.g., Lang Chain, Llama Index, Vertex AI) to develop autonomous, Agentic AI systems.

  • Highly effective at mentoring other engineers and collaborating with Product Managers, Data Engineers, UI/UX Designers, and business stakeholders.
  • Expertise in building and consuming RESTful APIs and event-driven microservices architectures.
  • Advanced experience with Continuous Integration/Continuous Delivery (CI/CD) tools and pipelines (e.g., Tekton, Terraform, Jenkins, Cloud Build).
  • Experience with Agile management tools (Jira, Rally), managing backlogs, iterations, and user stories.
  • Understanding of fundamental data modeling and database design (SQL and NoSQL).
  • Exceptional analytical and problem-solving skills with a track record of delivering complex technical solutions.

As an Expert Full Stack Software Engineer, you will work on a Balanced Product Team, collaborating closely with Product Managers, Product Designers, Business Customers, and other engineers to deliver end-to-end solutions. You will be responsible for the architecture, development, and ongoing support of high-performing full stack applications.

  • Full Stack Development:

Architect, design, and develop responsive, high-performance web applications using Angular on the front-end and robust APIs/microservices (Python/Java/Node) on the back-end.

  • Cloud Architecture (GCP):

Leverage deep expertise in Google Cloud Platform to design scalable, secure, and resilient cloud-native solutions.

  • Product & Requirements Management:

Participate in and lead the technical breakdown of requirements, features, user stories, and use cases. Actively participate in agile ceremonies.

  • Software Craftsmanship:

Champion software best practices, including e Xtreme Programming (XP), Test-Driven Development (TDD), paired programming, and clean code principles. Ensure code quality through automated testing and security scanning.

  • CI/CD & Operations:

Build and maintain automated deployment pipelines (Infrastructure as Code). Generate metrics, manage access authorizations, and ensure smooth operational support.

  • Incident & Problem Management:

Lead root cause analysis (RCA) and proactive problem management/defect prevention activities for your product portfolio.

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关于Ford

Ford

Ford

Public

The Ford Motor Company is an American multinational automobile manufacturer headquartered in Dearborn, Michigan, United States. It was founded by Henry Ford and incorporated on June 16, 1903.

10,001+

员工数

Dearborn

总部位置

$48B

企业估值

评价

3.3

10条评价

工作生活平衡

3.8

薪酬

3.5

企业文化

2.8

职业发展

2.2

管理层

2.5

45%

推荐给朋友

优点

Good benefits

Good work-life balance

Strong management support/respect

缺点

Poor/terrible management

Limited career growth opportunities

High turnover

薪资范围

21个数据点

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1份报告

$132,847

年薪总额

基本工资

$102,190

股票

-

奖金

-

$132,847

$132,847

面试经验

3次面试

难度

3.0

/ 5

时长

14-28周

体验

正面 0%

中性 67%

负面 33%

面试流程

1

Application Review

2

Phone Screening

3

Technical Interview

4

Team Interview

5

Offer

常见问题

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm