Does N & G BUSINESS CONSULTANCY AND MARKET RESEARCH SERVICES LTD sponsor visas?

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 The Observability Engineering Team manages access to G-Research’s telemetry platforms, ensuring our engineering teams can effectively produce and consume telemetry for their services. We are looking for a technically strong, customer-focused Software Engineer to help make observability easier to adopt across the organisation. This role focuses on the producer side: instrumentation patterns, OpenTelemetry SDKs and the collector configurations that help teams emit consistent, high-quality telemetry. This role is suited to someone who enjoys creating leverage through shared engineering patterns rather than building a single product feature set. You will use your engineering and emerging AI engineering skills to improve how teams instrument, understand and operate their services across the firm. You will help improve our service-level visibility, working closely with application and infrastructure teams enabling golden paths for instrumentation across C, Python and Kubernetes-based services, and ongoing development of our observability capabilities. Key responsibilities Key responsibilities of the role include: Extending and maintaining OpenTelemetry SDKs, libraries and Collectors Building and supporting instrumentation paths across Kubernetes and non-Kubernetes workloads Embedding observability standards across platform and application teams Leveraging AI and AI assisted engineering to accelerate productivity and value Scaling and improving our telemetry backend systems and pipelines Improving incident response with better telemetry coverage Participating on the out of hours on-call rotation Who are we looking for? The ideal candidate will have the following skills and experience: Strong problem-solving skills and the ability to turn standards into usable libraries, examples and guidance Programming skills in Cand/or Python with a good understanding of software architecture Hands-on experience with OpenTelemetry SDKs, instrumentation and Collectors Proficiency in Kubernetes and cloud-native observability Good understanding of metrics, logs and traces, and how they are used by engineering teams to debug and operate services DevOps tooling experience using tools such as Terraform, ArgoCD, Helm or Jenkins Interest in AI engineering and SRE practices to improve incident response and RCA Desirable but not essential experience includes: Prometheus/PromQL, VictoriaMetrics, OpenSearch, Grafana or similar observability backends Auto-instrumentation, distributed tracing, structured logging or trace/metric correlation Kafka or telemetry pipeline architectures Why should you apply? Highly competitive compensation plus annual discretionary bonus Lunch provided (via Just Eat for Business) and dedicated barista bar 35 days’ annual leave 9% company pension contributions Informal dress code and excellent work/life balance Comprehensive healthcare and life assurance Cycle-to-work scheme Monthly company events Location: London Apply Now Sokratis Software Engineer "My favourite part of working at G-Research is the people, from my colleagues to our customers. The culture is great and encourages collaboration, which makes it easier for everyone to work together." Find out more Get to know us What is it like working at a leading quantitative research and technology firm? Watch our video We are G-Research, a leading quantitative research and technology firm. From our offices in London and Dallas, we bring together world class researchers and engineers in a collaborative culture that values deep exploration, methodical execution, and long-term thinking. We apply scientific rigour, advanced machine learning, and cutting edge technology to tackle the hardest problems in finance, to predict movements in global markets. We are hiring. Build your career and bring your ideas to life in a culture that amplifies your impact and supports your growth.