JOB DESCRIPTION

Pro 360 Data Analytics & AI Portfolio: Leads design and product teams which create the operational core data capability for Ford Pro Tech. Includes ETL processes, multi-tier data model designs and implementations, data quality strategy & monitoring, plus domain expertise of data sets in the workplace, third-party data evaluations, data quality, creating intelligence layers for ease of use.

RESPONSIBILITIES

This critical application leverages Python, Java Springboot, GCP Cloud Run, and cloud-native technologies to deliver optimal customer experience.

You will drive technical excellence, foster innovation, and ensure the scalability, reliability, and security of our core systems.

- Develop Spring Boot/Java API/microservices on Google Cloud Platform (GCP) utilizing GCP services such as Cloud Run, Cloud Spanner, Cloud Pub/Sub, and more.
- Champion engineering best practices, including code reviews, adherence to architectural principles, and the development of reusable frameworks and components.
- Drive the implementation of comprehensive observability, monitoring, and alerting frameworks (SLOs/SLIs) to ensure the performance, reliability, and availability of critical systems.
- Lead performance engineering initiatives, including proactive bottleneck identification, capacity planning, and the establishment of performance baselines and benchmarks.
- Serve as a
- Deliver software frequently using Test Driven Development (TDD), continuous integration, and continuous deployment (CI/CD)




- Work with team members to establish best practices to maximize efficiency and minimize risk.
- Interact and work closely with product managers to devise solutions and break them into incremental production-ready user stories.
- Executing API Load and Performance (L&P;) on API/modules developed.
- Use DevOps tools such as Tekton, SonarQube, Fossa, and GitHub to deploy, improve and manage software.

QUALIFICATIONS

Qualifications for Internal Candidates

Minimum Qualifications

- Bachelor's degree in computer science or engineering
- 8+ years of software engineering experience
- 3+ years of experience with GCP, Cloud Run, Spring Boot, and Java
- Experience working with Agile methodologies such as Scrum and eXtreme Programming as an Anchor
- Experience in launching large scale global API's on cloud technologies such as Azure and GCP
- Agile software engineering practices - TDD, CI/CD, Refactoring, Clean Code, Pairing/Mobbing
- Developing and publishing APIs with Swagger docs in Apigee and APIM.
- Experience with using DevOps tools like Jenkins, SonarQube, CheckMarx and GitHub

Preferred Skills:

- Experience working with Python, Google Cloud Platform (or comparable), and related cloud native tools like Cloud Run, GKE, PubSub, Cloud Functions/Schedulers, APIGEE, GCP Logging, Terraform scripts, etc. and deployment pipelines like Cloud Build and Tekton

- Inquisitive, proactive, and interested in learning new tools and techniques.
- Strong oral, written and interpersonal communication skills
- Comfortable working in a dynamic environment where problems are not always well-defined

📌 Software Engineer (Chennai)
🏢 Ford Motor
📍 Chennai