We tackle the most complex problems in quantitative finance, by bringing scientific clarity to financial complexity. From our London HQ, we unite world-class researchers and engineers in an environment that values deep exploration and methodical execution - because the best ideas take time to evolve. Together we’re building a world-class platform to amplify our teams’ most powerful ideas. As part of our engineering team, you’ll shape the platforms and tools that drive high-impact research - designing systems that scale, accelerate discovery and support innovation across the firm. Take the next step in your career. The role Ensuring resilience, uptime and operational efficiency is mission-critical to its success. As a Production Software Engineer, you will play a key role in driving observability, reliability, change safety and runtime optimisation across a complex, federated engineering environment. You will design and implement the systems, tooling and workflows that ensure the distributed platform is robust, observable and engineered for speed and safety. This includes owning the engineering infrastructure that supports deployment automation, real‑time diagnostics and fault‑tolerant operations. This is a high‑impact, hands‑on engineering role. You’ll work closely with software engineers, infrastructure engineers, front office execution and research to streamline delivery into production, strengthen runtime behaviour and reduce operational risk. You’ll also participate in a shared production support model to reinforce stability and continuous improvement. Engineering underpins our continued growth and success, and we are committed to recruiting and developing the world’s best Engineers. Key Responsibilities of the role include: Improving the resilience and efficiency of real‑time distributed systems by identifying bottlenecks, reducing operational toil and limiting blast radius Developing tooling and frameworks to support frequent, low‑risk software delivery across a wide engineering estate Working with infrastructure teams to own and evolve domain specific metrics, alerting and diagnostics infrastructure used to operate and monitor the platform Building and maintaining core systems for deployment automation, observability, runtime environment management and release readiness Promoting runtime engineering best practices, working with federated teams to align on standards, service ownership and fault tolerance Participating in a shared production support rotation, helping respond to incidents, troubleshoot runtime issues and driving engineering improvements Collaborating with application, research and execution teams to define and uphold runtime boundaries, deployment criteria and production SLAs Who are we looking for? Strong background in software engineering, ideally in distributed, real‑time systems Experience with containerisation and orchestration technologies, such as Kubernetes, in production environments Familiarity with observability tooling and practices, such as Victoria Metrics, Prometheus, Grafana, OpenTelemetry and SLOs Well‑developed debugging skills with the ability to navigate unfamiliar systems, identify root causes and deliver effective solutions under time pressure Proven track record of contributing to fault‑tolerant, high‑availability platforms Proven ability to build and deploy software in resource‑constrained environments, leveraging standard tooling effectively to support practices such as CI/CD systems and deployment automation Comfort working in a federated model, engaging across multiple engineering teams and product streams Focus on continuous improvement, reducing the need for manual intervention through engineering Why should you apply? Highly competitive compensation plus annual discretionary bonusLunch provided (via Just Eat for Business) and dedicated barista bar35 days’ annual leave9% company pension contributionsInformal dress code and excellent work/life balanceComprehensive healthcare and life assuranceCycle‑to‑work schemeMonthly company events #J-18808-Ljbffr