Software Engineer - Trade Systems

Dex; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Dex is seeking a hands-on engineer to design and operate the observability and deployment backbone for a federated platform supporting live financial research.

You will build observability infrastructure (Prometheus, Grafana, OpenTelemetry), deploy tooling and CI/CD pipelines, and maintain fault-tolerant, high-availability systems that underpin real-time research, working closely with multiple engineering and research teams to reduce risk and improve resilience.

Qualifications

• Experience with distributed and real-time systems engineering.
• Kubernetes, containerisation and orchestration at scale.
• Building observability platforms (Prometheus, Grafana, OpenTelemetry) and designing SLOs.
• Strong debugging instincts under pressure.
• Experience with CI/CD and deployment automation.

Responsibilities

• Design and implement observability infrastructure for real-time trading systems.
• Engineer deployment tooling and CI/CD pipelines for safe releases across a federated environment.
• Build and maintain fault-tolerant, high-availability platforms that support live financial research.
• Identify and mitigate operational risks to prevent incidents.
• Collaborate across engineering and research teams to define runtime boundaries and platform safety.

Skills

Distributed real-time systems

Kubernetes

Containerisation

Observability platforms

Debugging

CI/CD

Tools

Prometheus

Grafana

OpenTelemetry

Job description

The role

Quantitative research drives this firm. They apply machine learning and big data to complex financial datasets, operating at the forefront of live markets. Your work here directly underpins that research, building the engineering platform that makes it all possible. This role sits at the heart of that platform. You'll build the observability infrastructure, deployment tooling, and fault-tolerant operations for a large, federated engineering organisation. This is a hands-on engineering seat with real breadth, not just reactive support. You will actively engineer systems to make incidents less likely, and less severe.

• Design and implement observability infrastructure (e.g., Prometheus, Grafana, OpenTelemetry) for complex, real-time trading systems.
• Engineer deployment tooling and CI/CD pipelines to ensure safe, reliable releases across a federated engineering environment.
• Build and maintain fault-tolerant, high-availability platforms that directly support live financial research.
• Proactively identify and mitigate operational risks, moving beyond reactive incident response to systemic prevention.
• Collaborate across multiple engineering teams and research functions to define runtime boundaries and strengthen platform safety.

What You Bring

• Deep experience with distributed and real-time systems engineering.
• Production-level expertise in Kubernetes, containerisation, and orchestration at scale.
• Proven track record building and operating observability platforms (e.g., Prometheus, Grafana, OpenTelemetry) and designing SLOs.
• Strong debugging instincts; you can quickly diagnose and resolve complex issues in unfamiliar systems under pressure.
• Experience with CI/CD and deployment automation, specifically building release tooling for high-stakes environments.