Senior Cloud Engineer - AI Platform
Ekeq Open · verified Oct 22, 2026 At a glance
Senior ML Platform & Ops role at Ekeq. Leicester · full-time · no salary stated · we estimate £96,000–£116,772 across the United Kingdom.
Ekeq has not published a salary for this role. The figure below is our estimate, not theirs.
aimlroles summary, based on the employer's posting.
What you'll do
- Build and run Azure and GCP infrastructure for developing, deploying and scaling AI agents and workloads
- Create reusable cloud templates, delivery pipelines and controls that keep platform changes secure and production-ready
- Establish AI platform capabilities such as vector storage, agent access controls, MCP connections and cost management
- Add monitoring, token tracing and prompt-injection protections, while maintaining platform stability and availability
- Review code, coach junior engineers, lead technical workshops and coordinate responses to major incidents
What you bring
- Strong experience with cloud infrastructure, networking, automation and security for AI platforms and workloads
- Hands-on Azure and GCP knowledge, including Azure containers, networking, governance and delivery automation
- Practical skills with Terraform, Ansible and infrastructure-as-code module development
- Experience with AI platform security, observability, token tracing, vector storage and MCP integrations
Who this fits
This senior engineering role suits someone who can shape complex technical work, communicate with senior stakeholders and mentor junior colleagues. You’ll work across Azure and GCP, contribute to incident response and disaster recovery, and serve as an escalation point for major issues. The role is based in Leicester, United Kingdom.
From the employer
As a Senior Cloud Engineer for the AI Platform, you will be heavily involved in designing, building, and maintaining the underlying platform infrastructure that enables the business to develop, deploy, and scale autonomous AI agents and workloads. You will collaborate with architects, security teams, and business stakeholders to engineer and manage a scalable, reliable, and highly secure foundation across Microsoft Azure and GCP, delivering standard templates, robust pipelines, and platform guardrails that accelerate innovation while ensuring governance and production-readiness. In addition, as a senior engineer, you are expected to support and mentor junior team members through code review, lead technical workshops, and endorse cloud best practices.
You will be a key driver in delivering the foundational platform capabilities (including vector datastores, identity and access controls, MCP integrations, and FinOps) and acting as a gate for the productionisation of proven PoCs.
Your responsibilities will extend to implementing observability, token tracing, prompt injection defense, and built-in guardrails to proactively resolve issues, ensuring all infrastructure adheres to zero-trust security best practices, and managing platform stability and availability.
You will act as a crucial point of escalation, mentor junior team members, and take a lead role in coordinating the resolution of major issues. You will also participate in incident response, disaster recovery efforts, and work closely with other technology teams to establish a secure, enterprise-grade AI launchpad that eliminates shadow IT and speeds up time-to-production for new business solutions.
What You’ll Take On:You are an experienced and proactive engineer with a deep understanding of cloud infrastructure, networking architecture, automation, and security tailored for AI platforms and workloads. You are confident in scoping, designing, and planning large, complex projects, translating business requirements into robust, secure, and pragmatic technical solutions. You excel at managing stakeholder expectations and communicating clearly with senior management.
As a senior figure, you are a natural mentor, capable of coaching junior team members, developing standards, and acting as a subject matter expert for cloud and AI infrastructure.
What You’ll Bring:- Azure Foundations, Scaffolding & Landing Zones (Cloud Governance, AI Guardrails & Best Practice)
- Azure Container Apps, AKS, and Container Registries
- Vector Datastores, Secure Storage Encryption, and AI Memory Infrastructure
- Agent Identity Management, EntraID, RBAC, and Zero-Trust Access Controls
- Model Evaluations & Security Controls (Prompt Injection Defense, Guardrails)
- AI Observability, Token Tracing and FinOps / Cost Controls
- Model Context Protocol (MCP) Integrations & Tooling Pipelines
- Terraform, Ansible, and Infrastructure-as-Code (IaC) Module Development
- Azure DevOps (CI/CD, Security, Pipeline Automation)
- Azure Networking (Express Route, Virtual Networks, ASG / NSG, Azure Firewall, DNS)
- APIM
- Automation & Scripting
- Google Cloud Platform (GCP)