Senior Platform Engineer

ClearRoute

. Build golden paths for AI workloads, including templates and scaffolding for services, RAG pipelines, agents and model-backed APIs .

Posted 11/10/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and managing AI workload delivery paths, integrating CI/CD, observability, and security. Proficient in cloud platforms, infrastructure-as-code, and LLM-based applications, with a strong focus on developer experience and platform adoption.

Highest-signal resume keywords

Cloud Experience (AWS, Azure, GCP)Infrastructure-As-Code (Terraform, Pulumi)CI/CD Design (GitHub Actions, GitLab CI)Kubernetes and ContainersLLM-Based Applications Integration

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Hard Skills

PythonGoTypeScriptRAG ArchitecturesVector DatabasesObservability FundamentalsMetrics and LogsDistributed TracingPrompt-Injection DefencesCost Tracking

Soft Skills

CoachingFeedback GatheringDocumentation WritingOnboarding FacilitationDeveloper Experience Focus

Tools & Technologies

GitOps Tooling (Argo CD, Flux)Internal Developer PlatformService CatalogueSelf-Service EnvironmentsAI Governance Awareness

Certifications & Qualifications

ITILKubernetes (CKA/CKAD)Cloud Certifications

Industry Keywords

AI WorkloadsRegulated SectorsEU AI ActISO/IEC 42001GDPR

Tech Stack

Tools & technologies

AWSAzureCloudFluxGoogle Cloud PlatformKubernetesPythonTerraformTypeScriptGo

About the role

Key responsibilities & impact

Build golden paths for AI workloads, including templates and scaffolding for services, RAG pipelines, agents and model-backed APIs
Embed CI/CD, observability and security into AI workload delivery paths
Run the internal developer platform, including the developer portal, service catalogue, self-service environments and infrastructure-as-code modules
Standardise access to LLM providers and self-hosted models through a shared gateway
Implement routing, rate limits, caching, cost tracking and key management for model access
Integrate evaluation frameworks, prompt and model versioning, and regression testing into delivery pipelines
Embed PII handling, prompt-injection defences, content filtering, audit logging and policy-as-code guardrails
Provide tracing, token usage, latency dashboards and cost visibility per team and feature
Write documentation and runbooks
Run onboarding sessions and office hours
Pair with product teams and gather feedback to shape the platform roadmap
Track platform adoption, lead time and friction points
Remove major developer-experience blockers each quarter
Coach teams to adopt platform capabilities and self-service tooling

Requirements

What you’ll need

4+ years in platform, DevOps, SRE or infrastructure engineering, with time spent supporting other engineering teams
Strong hands-on cloud experience with AWS, Azure or GCP
Experience with infrastructure-as-code using Terraform, Pulumi or similar
Kubernetes and containers in production, including deployment patterns, scaling and troubleshooting
CI/CD design and ownership using GitHub Actions, GitLab CI or similar
Experience with 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, including provider APIs, embeddings, vector stores or RAG patterns
Observability fundamentals covering metrics, logs and distributed tracing
Product mindset about internal platforms; treating developers as customers and measuring adoption
Experience with RAG architectures and vector databases is desirable
Familiarity with LangChain, LlamaIndex or Model Context Protocol is desirable
Experience with LLM observability and evaluation tools is desirable
Experience hosting or serving open-weight models is desirable
Awareness of AI governance and regulation, including EU AI Act, ISO/IEC 42001 and GDPR, is desirable
ITIL, Kubernetes (CKA/CKAD) or cloud certifications are desirable
Experience in consultancy or client-facing delivery environments, ideally in regulated sectors, is desirable

Benefits

Comp & perks

Genuine hybrid working
Home office budget
Time off when life needs it, including birthday time off
Profit share
Meaningful recognition for great work
Private healthcare
Confidential employee assistance program covering counselling, mental health support, and financial wellbeing
Running and book clubs
Women in Tech group
Monthly socials
Cross-regional events
Learning budgets
Udemy access
Clear career framework
Internal mobility
Thought leadership opportunities
Family-friendly working environment
Flexibility to accommodate caring responsibilities
Interview process accommodations for accessibility needs