Barlowe LLP
Observability Platform Engineer page is loaded Observability Platform Engineer Apply locations Dallas, TX posted on Posted Yesterday job requisition id R3209 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. 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 Similar Jobs (1)
DevSecOps Engineer locations Dallas, TX posted on Posted 30+ Days Ago
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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. 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 Similar Jobs (1)
DevSecOps Engineer locations Dallas, TX posted on Posted 30+ Days Ago
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