Reference Data Platform Engineer (Hybrid London)

Arcus Search; Greater London; Hybrid; GBP 70,000 - 105,000; Full time

Job summary

Arcus Search in London is seeking a Software Engineer to join the Reference Data Platform. You will develop and maintain distributed services for ingesting and processing market reference data, collaborating with researchers and trading teams.

The role focuses on upgrading legacy Java services, improving performance and security, and advancing observability and cloud-native tooling within a Kubernetes-based environment, with a hybrid working pattern.

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 working with Kotlin and/or Python would be beneficial.
• Interest in building reliable, scalable infrastructure supporting high-performance systems.

Responsibilities

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

Skills

Java

Kotlin

Python

Tools

Kubernetes

OpenTelemetry

ArgoCD

Job description

Arcus Search in London is seeking a Software Engineer to join the Reference Data Platform. You will develop and maintain distributed services for ingesting and processing market reference data, collaborating with researchers and trading teams.

The role focuses on upgrading legacy Java services, improving performance and security, and advancing observability and cloud-native tooling within a Kubernetes-based environment, with a hybrid working pattern.