Cloud & Platform Engineering Lead

Moorepay
Manchester, United Kingdom
Last month
Applications closed

Related Jobs

View all jobs
Spotlight

Forward Deployed Engineer

SolveAI London, United Kingdom
Hybrid
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Engineering Manager - Data Platform , GBR)

CrowdStrike London, United Kingdom
On-site

AI Platform/ DevOps Engineer

The Portfolio Group Ec4V4Dy, EC4V 4DY, United Kingdom
£70,000 – £80,000 pa On-site

Data Platform Engineer (Senior / Manager)

Tenth Revolution Group Ireland, Alba / Scotland, ZE2 9GA, United Kingdom
£50,000 – £65,000 pa Hybrid Clearance Required

Manager, Applied AI Engineering

DeepMind London, United Kingdom
On-site

Engineering Manager - Platform Reliability

Databricks London, United Kingdom

Principal Architect

Wayve London, United Kingdom
On-site
Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Lead
Education
Degree
Posted
30 Apr 2026 (Last month)

Moorepay is transforming. We are a trusted leader in UK Payroll and HR solutions, but we aren't resting on our history. We are embarking on a major digital transformation to redefine how businesses manage their most important asset: their people.

The Cloud & Platform Engineering Lead will ensure the reliability, scalability, and security of our engineering systems. Working closely with the Engineering Manager and Head of Engineering, the Platform Lead will identify priorities to remove friction from engineering teams, streamline processes, and enhance operational excellence. This role combines software engineering principles with systems administration to deliver robust, automated, cost-effective, and secure-by-design solutions.

The Cloud & Platform Engineering Lead plays a critical role in ensuring that our AI-driven, cloud-native platform is reliable, observable, secure, and able to scale with the organisation’s growth. As we adopt intelligent agents, autonomous workflows, and increasingly complex distributed systems, the Platform Lead ensures that resilience, performance, and operational excellence are built into everything we deliver. By partnering closely with Engineers, Architects, and the Engineering Manager, the SRE defines the patterns, tooling, and automation that enable fast, safe, and repeatable deployments.

This role safeguards our production environment, drives continuous improvement across CI/CD and observability, and establishes reliability practices that empower autonomous squads to move quickly without compromising stability. The Platform Lead is essential to maintaining customer trust, supporting AI-first innovation, and ensuring our platform remains robust, secure, and highly available on a scale.

This is a full time, permanent role working on a hybrid basis with 3 days per week in Manchester.

Key Responsibilities:

Technical & Architectural Leadership

  • Define and deliver cloud and platform architectures aligned with enterprise patterns and security frameworks.
  • Produce Low-Level Designs and ensure alignment with High-Level Designs.
  • Drive adoption of automation, Infrastructure as Code and reusable solution patterns.
  • Provide expert guidance on cloud-native architectures, containerisation and modern engineering practices.

Platform Engineering & Delivery Enablement

  • Build, maintain and optimise CI/CD pipelines.
  • Enhance observability through logging, alerting and monitoring.
  • Ensure platform services scale with evolving business demands.
  • Support operational readiness across all environments.

Cost Optimisation

  • Lead cost-efficient design, provisioning and operation of cloud and platform services.
  • Implement tagging standards, usage reporting, budget alerts and governance controls.
  • Identify and eliminate underutilised or unnecessary spend.
  • Drive adoption of autoscaling, rightsizing, reserved instances and savings plans.
  • Collaborate with Finance on forecasting and cost reviews.

Cloud Capability Leadership

  • Define and evolve the Cloud Delivery Roadmap.
  • Maintain a Cloud Service Catalogue aligned to KPIs and SLAs.
  • Embed continuous improvement across cloud and platform services.

Stakeholder Engagement

  • Collaborate with Architecture, Group Technology, Service Management, Product and Portfolio teams.
  • Communicate technical plans, risks and performance updates.
  • Manage third-party cloud partners.

People Leadership

  • Lead, coach and develop a high-performing engineering team.
  • Support career development and skills growth.
  • Promote a collaborative and innovative team culture.

Skills & Experience

  • Proven experience in Cloud, Platform or DevOps engineering roles.
  • Strong experience in Azure and AWS cloud environments.
  • Proven expertise with CI/CD tools (e.g., Azure DevOps, Pipelines, GitHub Actions, Jenkins).
  • Leadership experience, both through delivery and developing technical teams.
  • Expertise in monitoring and observability platforms (e.g., Prometheus, Grafana, Datadog).
  • Proficiency in scripting and automation (Python, Bash, PowerShell).
  • Familiarity with containerisation and orchestration (Docker, Kubernetes).
  • Solid understanding of networking, security, and cost optimisation in cloud environments.
  • Knowledge of cybersecurity principles, secure coding practices, and compliance frameworks.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Where to advertise AI jobs UK in 2026: the specialist boards and communities that reach AI engineers, ML scientists and applied research talent in the UK. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.