Observability Expert Engineer (Highly Competitive Base Salary + Significant Discretionary Bonus)

Ambition

Greater London

On-site

GBP 90,000 - 120,000

Full time

35 hours ago
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Job summary

Ambition is seeking an Observability Expert Engineer to design, scale, and operate a world-class observability platform for mission-critical trading and technology systems in a cloud-native environment.

You will work with Platform, SRE, Infra, and Development teams to improve reliability, performance, and operational excellence across the organization.

Qualifications

  • 4+ years in DevOps/SRE or platform engineering.
  • Degree in Computer Science, Engineering or related field.
  • Strong Python and Git skills; Golang or Rust is a plus.

Responsibilities

  • Design and operate enterprise-wide observability platforms covering metrics, logs, traces, dashboards, and alerting.
  • Build and maintain scalable monitoring and alerting solutions for distributed applications.
  • Drive observability best practices across engineering teams.
  • Improve incident detection, root cause analysis, and operational visibility.
  • Develop automation to enhance platform reliability and developer productivity.
  • Support large-scale Kubernetes environments and cloud-native platforms.
  • Partner with engineering teams to improve system performance and resilience.

Skills

DevOps/SRE
Python
Git
Kubernetes
Golang/Rust (adv)

Education

Degree in CS/Engineering or related

Tools

VictoriaMetrics
Vector
Elastic Stack
Grafana
OpenTelemetry
AlertManager

Job description

A leading global technology driven trading firm is seeking an Observability Expert Engineer to help build, scale, and evolve a world-class observability platform supporting mission-critical trading and technology systems.

This is a fantastic opportunity for an experienced engineer with deep expertise in monitoring, logging, tracing, and platform reliability who enjoys solving complex challenges in highly distributed, cloud-native environments.

You will be responsible for designing and operating observability solutions at scale, enabling engineering teams to gain deep visibility into applications, infrastructure, and services. Working closely with Platform, SRE, Infrastructure, and Development teams, you will help improve reliability, performance, and operational excellence across the organisation.

Key Responsibilities
  • Design and enhance enterprise-wide observability platforms covering metrics, logs, traces, dashboards, and alerting.
  • Build and maintain scalable monitoring and alerting solutions for distributed applications.
  • Drive observability best practices across engineering teams.
  • Improve incident detection, root cause analysis, and operational visibility.
  • Develop automation and tooling to enhance platform reliability and developer productivity.
  • Support large-scale Kubernetes environments and cloud-native platforms.
  • Partner with engineering teams to improve system performance, resilience, and operational efficiency.
Required Qualifications
  • Degree in Computer Science, Engineering, or a related technical discipline.
  • 4+ years of experience in DevOps, Site Reliability Engineering (SRE), Platform Engineering, or related roles.
  • Strong software development experience, including Python and Git. Exposure to Golang or Rust is advantageous.
Hands-on experience with modern observability technologies such as:
  • VictoriaMetrics
  • Vector
  • Elastic Stack
  • Grafana
  • OpenTelemetry
  • AlertManager
  • Experience building and operating observability platforms for highly distributed applications running on Kubernetes.
  • Strong Linux systems administration and troubleshooting skills.
  • Experience with Bash scripting, containerisation technologies, and platform operations.
  • Excellent written and verbal communication skills.
Nice to Have
  • Experience developing and operating Kubernetes Operators.
  • Experience with infrastructure automation and configuration management tools such as Terraform and Ansible.
  • Experience working with ClickHouse.
  • Exposure to large-scale cloud infrastructure and high-performance production environments.
  • Experience working with distributed systems in low-latency or mission-critical environments.
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