Senior AI Platform Engineer - Hybrid (London)

ClearRoute; Camden Town; Híbrido; GBP 90.000 - 130.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working: London two days onsite

Home office budget

Profit share

Private healthcare

Salary benchmarking

Employee assistance program

Descripción de la vacante

ClearRoute is seeking a Platform Engineer to harden our Azure/AI platform foundations and enable fast, safe delivery for AI features. You will bridge platform engineering and product teams, turning infrastructure and tooling into paved paths that engineers want to use.

You will build golden paths, developer tooling and self-service capabilities while coaching teams to adopt them, with success measured by faster ship cycles and fewer surprises in production.

Formación

• 4+ years in platform, DevOps, SRE or infrastructure engineering.
• Strong hands-on cloud experience (AWS, Azure or GCP) and infrastructure-as-code (Terraform, Pulumi or similar).
• Kubernetes and containers in production, including deployment patterns, scaling and troubleshooting.
• CI/CD design and ownership (GitHub Actions, GitLab CI or similar), plus GitOps tooling such as Argo CD or Flux.
• Solid coding skills in Python and at least one of Go or TypeScript.
• Practical experience building or integrating with LLM-based applications: provider APIs, embeddings, vector stores or RAG patterns.
• Observability fundamentals: metrics, logs and distributed tracing (OpenTelemetry, Grafana, Datadog or similar).
• A product mindset about internal platforms: you treat developers as customers and measure whether they adopt what you build.

Responsabilidades

• Build golden paths for AI workloads: templates and scaffolding for new services, RAG pipelines, agents and model-backed APIs, with CI/CD, observability and security built in.
• Run the internal developer platform: maintain the developer portal (Backstage), service catalogue, self-service environments and infrastructure-as-code modules.
• Enable model access and serving: standardise how teams call LLM providers and self-hosted models through a shared gateway, with routing, rate limits, caching, cost tracking and key management.
• Make evaluation routine: integrate eval frameworks, prompt and model versioning, and regression testing into the delivery pipeline so quality is measured before release.
• Bake in guardrails: work with security to embed PII handling, prompt-injection defences, content filtering, audit logging and policy-as-code into the default path.
• Improve observability: provide tracing, token usage and latency dashboards, and cost visibility per team and per feature.
• Enable people, not just tools: write docs and runbooks, run onboarding sessions and office hours, pair with product teams, and gather feedback to shape the platform roadmap.
• Measure developer experience: track adoption, lead time and friction points, and remove the biggest blockers each quarter.

Conocimientos

Platform engineering

DevOps / SRE

Kubernetes

CI/CD

GitOps

Python

Go

TypeScript

LLM apps

Observability

Product mindset

Herramientas

Backstage

Argo CD

Flux

GitHub Actions

GitLab CI

Terraform

Pulumi

OpenTelemetry

Grafana

Datadog

Descripción del empleo

ClearRoute is seeking a Platform Engineer to harden our Azure/AI platform foundations and enable fast, safe delivery for AI features. You will bridge platform engineering and product teams, turning infrastructure and tooling into paved paths that engineers want to use.

You will build golden paths, developer tooling and self-service capabilities while coaching teams to adopt them, with success measured by faster ship cycles and fewer surprises in production.