Java/Kotlin Backend Engineer - Scalable Data Platform

Arcus Search

Greater London

Hybrid

GBP 70,000 - 110,000

Full time

14 days+

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Job summary

Arcus Search is recruiting a Software Engineer to join a Reference Data team for a quantitative trading and technology firm in London. You will build and maintain services for ingesting market reference data, focusing on upgrading Java services to modern JDK versions and improving platform reliability and observability.

You will work with Kubernetes-based deployments, AI-assisted tooling, and CI/CD pipelines to deliver scalable data infrastructure in a cloud-native environment.

Qualifications

  • Commercial software engineering experience using Java.
  • Experience upgrading or modernising Java applications (JDK migrations highly desirable).
  • Experience building distributed systems or backend services.
  • Familiarity with Kubernetes and containerised applications.
  • Exposure to observability tooling such as OpenTelemetry or similar.
  • Experience with Kotlin and/or Python would be beneficial.
  • Interest in building reliable, scalable infrastructure for high-performance systems.

Responsibilities

  • Develop and maintain distributed services ingesting market reference data.
  • Deliver Java/JDK upgrade projects across production applications.
  • Improve reliability, scalability and performance of distributed systems.
  • Enhance platform observability with modern telemetry tooling.
  • Work with Kubernetes-based services and deployment pipelines.
  • Collaborate with engineers, platform teams and researchers.
  • Contribute to CI/CD and cloud-native engineering practices.
  • Utilise AI-powered development tools to support workflows.

Skills

Java
Kotlin
Python
Kubernetes
OpenTelemetry
CI/CD pipelines

Tools

Java
Kubernetes
OpenTelemetry
CI/CD

Job description

Arcus Search is recruiting a Software Engineer to join a Reference Data team for a quantitative trading and technology firm in London. You will build and maintain services for ingesting market reference data, focusing on upgrading Java services to modern JDK versions and improving platform reliability and observability.

You will work with Kubernetes-based deployments, AI-assisted tooling, and CI/CD pipelines to deliver scalable data infrastructure in a cloud-native environment.

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