Engineer, Backend - 4 (Java)

Job Summary

Responsibilities

• Contribute to our event-driven Microservice Architecture (currently 200+ services owned by 40+ teams). You will define and maintain the services your team owns (you design it, you build it, you run it, you scale it globally)
• Use Java 17, Spring Boot and JOOQ to build your services.
• Expose and consume RESTful APIs. We value good API design and we treat our APIs as Products (in the world of Open Banking often times they are gonna be public!)
• Use SNS+SQS and Kafka to send events
• Utilise PostgreSQL via Aurora as your primary datastore (we are heavy AWS users)
• Deploy your services to Production as often as you need to (this usually means multiple times per day!). This is enabled by our CI/CD pipelines powered by GitHub with GitHub actions for Sonarcloud, SemGrep and solid JUnit/Pact testing (new joiners are encouraged to have something deployed to production in their first 2 weeks)
• Experience modern GitOps using ArgoCD. Our Cloud team uses Docker, Terraform, EKS/Kubernetes to run the platform.
• Have DataDog as your best friend to monitor your services and investigate issues
• Collaborate closely with Product Owners to understand our Users needs, Business opportunities and Regulatory requirements and translate them into well-engineered solutions

Requirements

• Have some experience building server-side applications and detailed knowledge of the relevant programming languages for your stack. You don t need to know Java, but bear in mind that most of our services are written in Java, so you need to be willing to learn it when you have to change something there!
• Have a sound knowledge of a backend framework (e.g. Spring/Spring Boot) that you v e used to write microservices that expose and consume RESTful APIs
• Have experience engineering scalable and reliable solutions in a cloud-native environment (the most important thing for us is understanding the fundamentals of CI/CD, practical Agile so to speak)
• Demonstrate a mindset of delivering secure, well-tested and well-documented software that integrates with various third party providers and partners (we do that a lot in the fintech industry)
• Demonstrated ability to leverage AI tools and LLMs to improve engineering productivity, software quality, and delivery velocity.

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