Negotiable
Undetermined
Hybrid
Birmingham - Hybrid, UK
Summary: The role of Platform Engineer involves joining a fast-growing UK SaaS scale-up to build a new AI and LLM engineering capability. The position offers the opportunity to work on greenfield projects, influencing architecture and best practices from the outset. Candidates will collaborate with various teams to enhance scalable platform infrastructure and drive DevOps maturity. This role emphasizes ownership and autonomy in a high-performing engineering environment.
Key Responsibilities:
- Building and improving scalable platform infrastructure to support new AI/ML and LLM-driven products
- Designing reliable CI/CD pipelines and deployment workflows
- Enhancing Kubernetes-based environments, automation and observability
- Working closely with software, data and AI teams to accelerate delivery
- Driving DevOps maturity across engineering
Key Skills:
- Kubernetes, Docker, Kustomize
- ArgoCD
- LiteLLM/LLMOps tooling
- Grafana
- PostgreSQL, Neo4j
- Python for tooling/automation
- Azure (AKS, DevOps, cloud services)
- CI/CD pipelines
Salary (Rate): undetermined
City: Birmingham
Country: UK
Working Arrangements: hybrid
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Platform Engineer - Kubernetes | Azure | CI/CD | AI/ML
Fast-Growing UK SaaS Scale-Up - Greenfield AI Platform
One of the UK's fastest-growing SaaS scale-ups is building a brand-new AI & LLM engineering capability, and they're looking for a Platform Engineer to play a key role in shaping the foundations of their next-gen product suite.
This is a genuinely exciting opportunity to join a high-performing engineering team working on greenfield projects, modern tooling, and large-scale distributed systems. You'll have real ownership and the chance to influence architecture, tooling, automation and best practices from day one.
What you'll be working on
- Building and improving scalable platform infrastructure to support new AI/ML and LLM-driven products
- Designing reliable CI/CD pipelines and deployment workflows
- Enhancing Kubernetes-based environments, automation and observability
- Working closely with software, data and AI teams to accelerate delivery
- Driving DevOps maturity across engineering
Tech you'll be working with
You don't need to tick every box - they hire for mindset as much as skill.
- Kubernetes, Docker, Kustomize
- ArgoCD
- LiteLLM/LLMOps tooling
- Grafana
- PostgreSQL, Neo4j
- Python for tooling/automation
- Azure (AKS, DevOps, cloud services)
- CI/CD pipelines
Why this role is different
- Greenfield AI/LLM platform - build from scratch rather than maintain legacy
- Elite engineering culture - smart, humble, and collaborative team
- Massive growth plans - real career progression as the AI function expands
- Ownership & autonomy - freedom to bring ideas, tools, and improvements
Interested?
Apply directly via jobserve or message me on (see below) for a confidential chat - even if your CV isn't up to date. Happy to share more detail before you commit.
Keywords: Platform Engineer, DevOps, Kubernetes, Azure, CI/CD, SaaS, AI, ML, LLMOps