At a Glance
- Tasks: Build and maintain scalable telemetry pipelines for seamless observability.
- Company: Join G-Research, a leader in quantitative finance with a collaborative culture.
- Benefits: Competitive pay, 35 days leave, healthcare, and monthly events.
- Other info: Inclusive environment with excellent work/life balance and career growth opportunities.
- Why this job: Make a real impact in observability while working with cutting-edge technology.
- Qualifications: Experience with SaaS observability platforms and proficiency in Kubernetes.
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 employer: Barlowe LLP
At G-Research, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration among world-class researchers and engineers. Located in London, our team enjoys highly competitive compensation, generous annual leave, and a strong commitment to work/life balance, alongside opportunities for professional growth in the rapidly evolving field of observability. With a focus on inclusivity and employee well-being, we ensure that every team member can thrive while tackling complex challenges in quantitative finance.
StudySmarter Expert Advice🤫
We think this is how you could land Observability Engineer
✨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 in observability. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects related to observability stacks or telemetry pipelines. We love seeing practical examples of your work, so make sure to highlight your coding skills in Go or Python!
✨Tailor Your Approach
When reaching out to potential employers, make sure to tailor your message to their specific needs. Mention how your experience with OpenTelemetry or Kubernetes can directly benefit their team. We appreciate when candidates take the time to understand our challenges and how they can contribute.
✨Apply Through Our Website
We encourage you to apply directly through our website! It’s the best way for us to see your application and get you in front of the right people. Plus, it shows you’re genuinely interested in joining our team at G-Research.
We think you need these skills to ace Observability Engineer
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 projects you've worked on. We want to see how you can bring scientific clarity to financial complexity!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background in observability stacks makes you a perfect fit. Don’t forget to mention your familiarity with cloud infrastructure and Kubernetes!
Showcase Your Problem-Solving Skills:In your application, share examples of how you've tackled complex problems in previous roles. We love methodical execution, so demonstrate your thought process and how you approach challenges in observability and telemetry.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Let’s make this happen together!
How to prepare for a job interview at Barlowe LLP
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially OpenTelemetry and Kubernetes. Brush up on your experience with observability platforms like DataDog or NewRelic, as these will likely come up during the interview.
✨Showcase Problem-Solving Skills
Prepare to discuss specific challenges you've faced in observability engineering. 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 the Company’s Vision
Familiarise yourself with G-Research's approach to quantitative finance and how observability plays a role in their operations. Showing that you understand their mission and how your skills can contribute will set you apart from other candidates.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects or the tools they use. This not only shows your interest but also gives you a chance to assess if the company culture aligns with your values, especially regarding inclusivity and work-life balance.
