refresh

트렌딩 기업

트렌딩 기업

채용

채용Ford

Software Engineer

Ford

Software Engineer

Ford

Dunton, Essex, United Kingdom, GB

·

On-site

·

Full-time

·

2mo ago

필수 스킬

Java

Role Summary:

Ford Credit Europe is the financial heart of our business, enabling millions of customers to drive away in their dream vehicles.

We are seeking a Java Software Engineer to join our Originations and Risk team.

This is a pivotal time for FCE.

You won't just be maintaining systems; you will be a key player in rationalizing our existing service landscape.

You will help us decompose legacy logic and migrate it into a modern, supportable, cloud-native architecture.

If you enjoy the challenge of untangling complex business logic and rebuilding it using modern patterns, this role is for you.

Key Responsibilities Architectural Rationalization:

Analyse existing services within the Originations and Risk domains.

Work to refactor, decouple, and migrate these into a modern microservices architecture.

Backend Development: Build and maintain high-performance Java services that handle credit applications, risk scoring, and financial contract generation.

Operational Excellence: Participate in a 9:00 AM – 5:00 PM coverage rota (5 days per week) to ensure the stability and availability of our core financial services during peak business hours.

Quality Assurance: Ensure the high level of precision required for financial systems by writing rigorous unit, integration, and contract tests.

Collaboration: Work closely with Product Managers in the Originations and Risk domains to translate complex requirements into clean, executable code.

Required Qualifications and Skills

Experience: 3+ years of professional Java development experience, ideally within a regulated industry like Finance, Fintech, or Insurance.

Java Expertise: Strong proficiency in Java 17+ (we work with v21).Spring Framework: Solid experience with Spring Boot, Spring Data, and Spring Security.

Refactoring Skills: Proven ability to read and understand existing codebases and a passion for "leaving the camp site cleaner than you found it."Architecture Patterns: Understanding of Microservices, RESTful API design, and Event-Driven architecture.

Preferred Skills Financial Domain:

Understanding of credit originations, credit bureau integrations, or risk-weighting engines.

Cloud Infrastructure:

Experience: with Google Cloud Platform (GCP).Messaging:

Experience: with Kafka for handling asynchronous financial events.

Database Knowledge:

Experience: with MongoDB.

Additional Information:The Company is committed to diversity and equality of opportunity for all and is opposed to any form of less favourable treatment or harassment on the grounds of race, religion or belief, sex, marriage and civil partnership, pregnancy and maternity, age, sexual orientation, gender reassignment or disability This position is based in Dunton, and it is expected the successful candidate will be able to attend the Dunton office for typically 4 days a week and remain flexible on the days they are required to attend the office according to business requirements.As part of our pre-employment checks process, successful candidates will be required to undergo a criminal record check.

This will be conducted in line with the Rehabilitation of Offenders Act 1974 and applied only to unspent convictions. #Ford Credit

총 조회수

1

총 지원 클릭 수

0

모의 지원자 수

0

스크랩

0

Ford 소개

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+

직원 수

Dearborn

본사 위치

$48B

기업 가치

리뷰

3.3

10개 리뷰

워라밸

3.8

보상

3.5

문화

2.8

커리어

2.2

경영진

2.5

45%

친구에게 추천

장점

Good benefits

Good work-life balance

Strong management support/respect

단점

Poor/terrible management

Limited career growth opportunities

High turnover

연봉 정보

21개 데이터

Mid/L4

Senior/L5

Mid/L4 · ADAS Data Analytics Engineer

1개 리포트

$132,847

총 연봉

기본급

$102,190

주식

-

보너스

-

$132,847

$132,847

면접 경험

3개 면접

난이도

3.0

/ 5

소요 기간

14-28주

경험

긍정 0%

보통 67%

부정 33%

면접 과정

1

Application Review

2

Phone Screening

3

Technical Interview

4

Team Interview

5

Offer

자주 나오는 질문

Technical Knowledge

Behavioral/STAR

Past Experience

Coding/Algorithm