At a Glance
- Tasks: Build scalable telemetry pipelines and enhance observability for developers and platform teams.
- Company: Join G-Research, a leader in quantitative finance with a focus on innovation.
- Benefits: Enjoy competitive pay, 35 days off, and a dedicated barista bar.
- Other info: Be part of a diverse team that values your unique ideas and experiences.
- Why this job: Make a real impact in a dynamic environment while tackling complex financial challenges.
- Qualifications: Experience with observability platforms and proficiency in Kubernetes and DevOps tools.
The predicted salary is between 60000 - 80000 £ per year.
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.
The Observability Engineering Team manages the doors – both entry and exit – to the telemetry backends at G‑Research, ensuring our engineers can effectively produce and consume telemetry for their services. As an Observability Engineer, you’ll help make observability seamless for developers and platform teams by building pipelines to ingest and route data in predictable, composable ways, as well as visualising that data after the fact. You’ll have deep experience across observability stacks, a clear understanding of the unique problems that come with moving cloud‑level volumes of telemetry data at scale, and excitement at the prospect of ensuring our customers have eyes into the telemetry data to run their services as efficiently as possible.
Key Responsibilities
- Extending and maintaining OpenTelemetry, including collectors, SDKs and exporters
- Building scalable telemetry pipelines
- Contributing to Golden Path SDKs and auto‑instrumentation
- Ensuring Kubernetes workloads are fully observable and resilient
- Embedding observability standards across platform and application teams
- Improving incident response with better telemetry coverage
- Providing external industry observability experience and input to our long‑term roadmap
- Participating in the out of hours on‑call rotation
Qualifications
- Operating/onboarding SaaS Observability platforms at scale, such as DataDog, NewRelic, Dynatrace etc.
- Strong hands‑on experience with OpenTelemetry
- Familiarity with public cloud infrastructure, ideally AWS
- Proficiency in Kubernetes and DevOps tooling (Terraform, ArgoCD, Helm, Jenkins)
- Experience with metrics, logs and tracing backends
- Coding in Go, Python, or similar
- Industry background in Observability or SRE
Desirable Experience
- Profiling (eBPF, Pixie, Parca)
- Synthetic monitoring, AI‑observability tools and Kafka
Benefits
- 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
Inclusion Statement
G‑Research is committed to cultivating and preserving an inclusive work environment. We are an ideas‑driven business and we place great value on diversity of experience and opinions. We want to ensure that applicants receive a recruitment experience that enables them to perform at their best. If you have a disability or special need that requires accommodation please let us know in the relevant section.
Observability Engineer in London employer: Barlowe LLP
At G-Research, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London where innovation thrives. Our commitment to employee growth is evident through our comprehensive benefits package, including 35 days of annual leave, a generous pension scheme, and opportunities for professional development. With a focus on inclusivity and a culture that values diverse perspectives, we empower our Observability Engineers to tackle complex challenges while enjoying a healthy work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Observability Engineer in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works at G-Research. Building relationships can open doors that a CV just can't.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your hands-on experience with OpenTelemetry and any cool projects you've worked on. Let them see your passion for observability and how you can contribute to their team.
✨Tailor Your Approach
Before any interview, do your homework! Understand G-Research's unique challenges in telemetry and come prepared with ideas on how you can help tackle them. This shows you're not just another candidate; you're genuinely interested in their mission.
✨Apply Through Our Website
Don’t forget to apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining the G-Research team!
We think you need these skills to ace Observability Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Observability Engineer role. Highlight your hands-on experience with OpenTelemetry and any relevant cloud infrastructure knowledge to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about observability and how your background makes you a great fit for our team. Share specific examples of your work with telemetry data and how you've tackled challenges in the past.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! Whether it’s coding in Go or Python, or your experience with Kubernetes and DevOps tools, we want to see what you bring to the table. Be specific!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Barlowe LLP
✨Know Your Tech Stack
Make sure you’re well-versed in the observability tools mentioned in the job description, like OpenTelemetry and various SaaS platforms. Brush up on your experience with Kubernetes and cloud infrastructure, especially AWS, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in observability or SRE roles. Think of examples where you built scalable telemetry pipelines or improved incident response. This will demonstrate your hands-on experience and ability to tackle complex problems.
✨Understand Their Environment
Familiarise yourself with G-Research’s approach to observability and their emphasis on methodical execution. Research their projects and be ready to discuss how your skills can contribute to their goals, particularly in enhancing telemetry data visibility.
✨Ask Insightful Questions
Prepare thoughtful questions about their observability standards and long-term roadmap. This shows your genuine interest in the role and helps you gauge if their work culture aligns with your values, especially regarding inclusivity and collaboration.
