Platform Observability & Automation Engineer

Radiant; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Radiant is seeking an Infrastructure Tooling & Observability Engineer to enhance reliability across its global GPU-focused infrastructure. You will design internal control planes, convert high-volume telemetry into actionable insights, and drive automation to reduce toil and improve system resilience.

Joining a fast-growing, engineering-led team, you will work with SRE and infrastructure engineers to deliver scalable tooling, CI/CD automation, and robust observability across distributed

Qualifications

• Degree in Computer Science/Software Engineering, or equivalent experience.
• 6–8 years of experience in infrastructure engineering, DevOps, SRE, and/or software engineering roles with a focus on operational systems.
• Proven experience in at least one DevOps or software engineering role, building or maintaining production infrastructure tooling or platform systems.
• Experience working in large-scale or distributed infrastructure environments.
• Strong programming ability in Ruby (Rails) or Go, with willingness to work across multiple languages.
• Hands-on experience with Ansible and AWX.
• Strong experience with observability systems, including Grafana/Prometheus/Loki/Mimir/Grafana Alloy.
• Familiarity with SNMP and syslog.
• Experience working with Kubernetes in production environments.
• Understanding of API design and REST-based services and service-to-service communication.
• Experience building and maintaining CI/CD pipelines, including GitHub Actions and self-hosted runners.
• Strong understanding of operational reliability concepts, including monitoring, alerting, capacity planning, and incident response.
• Comfortable working closely with SRE, Platform Engineering, and infrastructure teams to translate operational needs into maintainable software systems.

Responsibilities

• Design, build, and evolve internal tooling and observability platforms that support large-scale infrastructure operations across distributed environments.
• Develop systems that turn high-volume telemetry (logs, metrics, events) into actionable insight, improving visibility, alerting quality, and operational decision-making.
• Translate SRE reliability requirements into scalable, production-ready software solutions, including automation for incident detection, prevention, and remediation.
• Drive automation across infrastructure operations, reducing manual effort in areas such as environment provisioning, cluster onboarding, inventory management, and lifecycle workflows.
• Build tooling for capacity management, performance testing, benchmarking, and automated collection and analysis of results.
• Contribute to Continual Service Improvement (CSI) initiatives by identifying operational inefficiencies and delivering durable engineering solutions.
• Work closely with SRE and infrastructure engineering teams to embed observability and reliability into core platform workflows.
• Interface with Platform Engineering teams to ensure tooling aligns with broader orchestration and infrastructure strategy.
• Integrate and extend existing systems written in Ruby/Rails and Go, contributing to a consistent and maintainable engineering ecosystem.
• Develop and maintain automation workflows using Ansible and AWX.
• Support CI/CD-driven operational tooling, including GitHub Actions and self-hosted runners.

Skills

Programming (Ruby/Go)

DevOps/SRE

Kubernetes experience

CI/CD pipelines

Observability concepts

Education

Bachelor's degree in CS/Software Engineering

Tools

Ansible

AWX

Grafana

Prometheus

Loki

GitHub Actions

Self-hosted runners

REST APIs

Job description

Radiant is seeking an Infrastructure Tooling & Observability Engineer to enhance reliability across its global GPU-focused infrastructure. You will design internal control planes, convert high-volume telemetry into actionable insights, and drive automation to reduce toil and improve system resilience.

Joining a fast-growing, engineering-led team, you will work with SRE and infrastructure engineers to deliver scalable tooling, CI/CD automation, and robust observability across distributed