Senior Full Stack Engineer — Hybrid & Shares

AutoTrader UK

Manchester

Hybride

GBP 50 000 - 70 000

Plein temps

14 jours+

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Avantages offerts par ce poste

Salary plus shares (10%)
28 days holiday + bank holidays
Pension scheme: 7% employer, 5%员工
Private medical cover
Share save options
Digital GP and wellbeing support
Hybrid/Remote working setup
Great Start induction program

Résumé du poste

AutoTrader UK is seeking a Senior Full Stack Engineer to join our high-performance technology teams. You will work across front-end and back-end stacks, employing React/Angular on the client and Java/Spring Boot on the server, while leveraging Kafka and cloud platforms for scalable delivery.

You will mentor teammates, drive best practices, and help deliver high-quality solutions at scale. A collaborative, AI-enabled workflow is encouraged to move faster and tackle hard engineering problems.

Qualifications

  • Experience with Java or Kotlin and distributed systems design.
  • Proficient in React/Angular front-end tech and building RESTful APIs.
  • Strong SQL and MongoDB knowledge; capable of TDD and automation.
  • Proven track record leading and mentoring teams delivering scalable solutions.

Responsabilités

  • Mentor team members and drive high-quality engineering practices.
  • Collaborate across squads to deliver scalable, reliable systems.
  • Lead design and code reviews, and promote automated testing and CI/CD.

Connaissances

Java
Kotlin
Distributed systems design
RESTful APIs
Frontend technologies
SQL
MongoDB
Test-Driven Development
Mentoring teams

Outils

React
Angular
Kafka
TypeScript

Description du poste

AutoTrader UK is seeking a Senior Full Stack Engineer to join our high-performance technology teams. You will work across front-end and back-end stacks, employing React/Angular on the client and Java/Spring Boot on the server, while leveraging Kafka and cloud platforms for scalable delivery.

You will mentor teammates, drive best practices, and help deliver high-quality solutions at scale. A collaborative, AI-enabled workflow is encouraged to move faster and tackle hard engineering problems.

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