G-Re

Join G-Research’s Observability Engineering Team to make telemetry easier to adopt across the organization. You will build instrumentation libraries, OpenTelemetry integrations, and telemetry pipelines that improve service visibility and incident response across C#, Python, and Kubernetes-based services.

Build and improve Kubernetes-hosted remote development environments that enable engineers and quantitative researchers to work reliably and efficiently. This role combines software development, platform engineering, automation, security, and close collaboration with users.

Build and operate high-performance, globally distributed trading platforms and services for a quantitative finance firm. The role combines software development with production support, observability, deployment automation, and fault-tolerant operations.

Own and evolve enterprise IAM platforms spanning authentication, identity federation, credential management, and privileged access. This hands-on platform engineering role modernizes identity infrastructure and delivers secure, reusable services for engineering teams at scale.

Build and operate highly automated Kubernetes platforms supporting machine-learning research and ultra-low-latency trading workloads. This role focuses on platform reliability, security, observability, GitOps, and infrastructure automation in collaboration with researchers, engineers, and traders.

Build production-grade AI systems that transform how teams across a quantitative finance firm work, from research and engineering to operations. You’ll own high-impact projects end to end and partner across the organization to scale LLM-powered solutions.

Own and evolve the foundational infrastructure services that support G-Research’s engineering organization, including Terraform, Jenkins, Active Directory, and Windows/Linux environments. The role combines infrastructure automation, service reliability, platform operations, and on-call ownership.

Build the engineering tools and developer platforms that improve development processes and accelerate quantitative research workflows. You’ll work closely with engineers and researchers, with a particular focus on CI/CD, Python standards, and scalable tooling.