热门公司

招聘

职位Ford

Software Engineer

Ford

Software Engineer

Ford

Dunton, Essex, United Kingdom, GB

·

On-site

·

Full-time

·

2mo ago

必备技能

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

总浏览量

1

申请点击数

0

模拟申请者数

0

收藏

0

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