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Observability Platform Engineer

  • Infrastructure Engineering
  • Dallas

Do you want to tackle the biggest questions in finance with near infinite compute power at your fingertips? 

G-Research is a leading quantitative research and technology firm, with offices in London and Dallas.

We are proud to employ some of the best people in their field and to nurture their talent in a dynamic, flexible and highly stimulating culture where world-beating ideas are cultivated and rewarded. 

This is a hybrid role based in our new Dallas infrastructure hub where we work on the latest technologies in a cutting-edge environment.

The role

As an Engineer on the Observability Platform team, you’ll manage the critical entry and exit points to our telemetry services, ensuring engineers across the business can reliably produce and consume telemetry data for their services.

You’ll work closely with the Observability Engineering team to design and implement robust, scalable data pipelines that ingest, route and visualise telemetry in predictable and composable ways. Your work will empower engineers to gain actionable insight into their systems, enabling informed decision-making and operational efficiency.

Operating under the broader Platform Engineering department, our team also holds responsibility for enhancing the reliability of our entire High-Performance Computing (HPC) stack — from networking and storage through to compute and application platforms.

We’re looking for an engineer with deep expertise in observability stacks and a keen understanding of the unique challenges associated with managing telemetry at cloud-scale volumes. You’re passionate about building systems that give customers clear, consistent access to telemetry data, helping them run their services as effectively as possible.

Experience running large-scale observability platforms for a diverse customer base is essential. Familiarity with core Site Reliability Engineering (SRE) principles is highly beneficial.

Key responsibilities of the role include: 

  • Being a key contributor to the development of our observability and reliability platforms

  • Contributing to the roadmap for observability tooling, ensuring alignment with business goals and scalability requirements

  • Working with telemetry data at enormous scale, ingesting data from industry-leading GPU clusters

  • Working with AWS services, ensuring seamless integration with the observability platform

  • Collaborating with cross functional engineering teams to establish observability as a core function of the development lifecycle

  • Working closely with application teams to ensure observability systems are fully integrated and providing the necessary insights

  • Enabling SRE frameworks, promoting SLAs, SLOs and SLIs, and working closely with platform teams to ensure reliability is constantly improving

  • Helping to foster a culture of continuous learning and improvement, encouraging adoption of new observability tools and techniques

Who are we looking for?

The ideal candidate will have the following skills and experience: 

  • Proven experience on observability or SRE teams in a cloud-native or hybrid-cloud environment, running platforms in production and at scale

  • Well versed in reliability engineering concepts, including different types of testing, progressive deployments, error budgets, the role observability plays and fault-tolerant design

  • Hands-on experience with modern observability tools and frameworks such as Prometheus, OTEL (OpenTelemetry), Grafana and enterprise SaaS Observability platforms, such as Datadog and Dynatrace

  • Expertise in designing, building and scaling observability solutions for distributed systems

  • Customer focused, with an enthusiasm for providing infrastructure as a service and defaulting to a product lens when evaluating platform scale problems

  • Excellent communication skills and the ability to collaborate with cross-functional teams

  • Experience with cloud platforms, such as AWS, Azure or Google Cloud

  • Familiarity with microservices architecture and containerised environments, such as Kubernetes and Docker

  • Knowledge of infrastructure as code (IaC) and automation tools, such as Terraform and Ansible

Why should you apply?

  • Market-leading compensation plus annual discretionary bonus

  • Lunch provided in the office (via GrubHub)

  • Informal dress code and excellent work/life balance

  • Excellent paid time off allowance of 25 days

  • Sick days, military leave, and family and medical leave

  • Generous 401(k) plan

  • 16-weeks’ fully paid parental leave

  • Medical and Prescription, Dental, and Vision insurance

  • Life and Accidental Death & Dismemberment (AD&D) insurance

  • Employee Assistance and Wellness programs

  • Generous relocation allowance and support

  • Great selection of office snacks, and hot and cold drinks

  • Free on-site gym and car parking

This role is employed through our US affiliate.

Location: Dallas
Apply Now
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Interview process

Online Application

Our assessment process kicks off with our Talent Acquisition team, who will review your application and assess your fit for the role.

Stage One: Technical Interview

You will meet with a team member – or take a remote test – where your technical abilities will be put to the test.

Stage Two: Behavioural Interview

We will set aside technical skills and focus on you.

Stage Three: Further Technical Interviews

Here, we will take a deeper dive into your technical skills and competencies.

Stage Four: Management Interviews

The final stage of our interview process is where you will meet members of your team, your future manager, and functional leadership.

Observability Platform Engineer Apply now

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