Software Engineer - Trade Systems

Dex; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Dex partners with a financial tech firm in Greater London to recruit a senior systems engineer to design and operate observability and deployment platforms for real-time trading systems.

You will build and maintain fault-tolerant, high-availability infrastructure, implement OpenTelemetry, Prometheus, Grafana, and CI/CD tooling, and collaborate across engineering teams to reduce operational risk and improve platform safety.

Qualifications

• Deep experience with distributed and real-time systems engineering.
• Production-level expertise in Kubernetes, containerisation, and orchestration at scale.
• 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.

Responsibilities

• 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.

Skills

Distributed systems engineering

Real-time systems

Debugging under pressure

CI/CD and deployment automation

Tools

Kubernetes

OpenTelemetry

Prometheus

Grafana

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.

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.

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.

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