Ford Motor Company Looking for Ford Credit IT – Software Engineering Supervisor – FinSimple at Chennai, Tamil Nadu Full Time

Full Job Description

The Software Engineering Supervisor will lead a team of engineers based out of Chennai, India and will be responsible to manage and deliver products in Ford Credit FinTech portfolio. The supervisor will collaborate directly and continuously with Software Engineers, Product Managers, Designers and Product Owners to build, validate and release software products early and often in a dynamic and collaborative environment.

Bachelor’s degree in Information Technology, Computer Science, Business or similar discipline.

At least Ten years of experience in a Software Engineering role.

Strong knowledge of Java, Micro Services, APIs, React, Kotlin, GCP, SpringBoot, etc.

Strong knowledge of SQL and cloud native applications

Strong knowledge of Software Craftsmanship practices including TDD, Clean Code, Refactoring, etc.

Experience with DevOps/Security tools like Jenkins, 42Crunch, Sonarqube, CheckMarx, etc.

Knowledge of working with Agile software methodologies i.e. Scrum, eXtreme Programming, etc.

Strong leadership and communication skills and the ability to coach and teach others.

Ability to work collaboratively with others and navigate complex decision making.

Ability to collaborate well with product manager, designers, and business partners

Provides hands-on leadership and supervision for a full-stack development team.

Develops engineering, professional, and career-related skills for software engineers using coaching, mentorship, feedback, and pair programming, in order to grow their skills and abilities.

Collaborates with other internal product teams in order integrate products into various platforms.

Identifies opportunities to improve continuous integration tooling by identifying manual processes that can be automated within the delivery pipeline and improving quality gates and auditability based on past learnings.

Reviews on-going production software operations and helps troubleshoot production issues. Incorporates post-incident reviews like postmortems to identify opportunities for improvement.

Implements tooling that monitors application performance metrics and automatically notifies team when a failure occurs in production.