Software Engineer - Trade Systems

Dex; Greater London; On-site; GBP 85,000 - 135,000; Full time

Job summary

Dex is seeking a hands-on Platform Engineer to design and implement observability infrastructure for real-time trading systems. You will work with Prometheus, Grafana, and OpenTelemetry, building deployment tooling to ensure safe, reliable releases across a federated engineering environment.

You will own fault-tolerant, high-availability platforms, proactively mitigating operational risks and collaborating across teams to strengthen platform safety under pressure.

Qualifications

• Experience building observability platforms (Prometheus, Grafana, OpenTelemetry).
• Experience with distributed and real-time systems engineering.
• Production-level Kubernetes and container orchestration experience.
• Strong debugging skills under pressure.
• CI/CD and deployment automation experience for high-stakes environments.

Responsibilities

• Design and implement observability infrastructure for complex real-time trading systems.
• Engineer deployment tooling and CI/CD pipelines for safe, reliable releases across a federated environment.
• Build and maintain fault-tolerant, high-availability platforms supporting live financial research.
• Proactively identify and mitigate operational risks beyond reactive incident response.
• Collaborate across multiple engineering teams to define runtime boundaries and strengthen platform safety.

Skills

Distributed systems

Real-time systems

Kubernetes

Containerisation

Observability platforms

SLO design

CI/CD

Debugging under pressure

Tools

Prometheus

Grafana

OpenTelemetry

Job description

This role is with one of Dex's trusted partner companies. We work closely with their teams to truly understand their culture, goals, and what they're looking for, so we can match you with the right opportunity and give you context about the role before you commit to a process.

Dex is an AI recruiter agent that helps you run your job search. Tell Dex your stack, seniority, and what you want to build. We will manage your applications and surface other opportunities that are a fit.

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.

The work

• 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.