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Head of Cloud Engineering

United Kingdom, London · Job Posted February 13, 2026
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Job Description

You'll own the technical vision and delivery of our core platforms. Build world-class platforms: Architect cloud-native data and AI systems that support analytics, ML workloads, and real-time operations; Create API-first integration layers for internal teams and external partners; Implement MLOps best practices for model deployment and lifecycle management. Lead exceptional teams: Build, mentor, and scale high-performing engineering teams; Set standards for code quality, security, and performance; Drive DevOps and CI/CD culture for fast, reliable delivery. Drive business impact: Translate business needs into technical solutions; Partner with product, data, and operations leaders; Own the engineering roadmap and align resources to the outcome.

Job Responsibility

  • Define and own the technical vision and roadmap for CloserStill's core data, AI, and integration platforms
  • Architect scalable, secure, and resilient cloud-native solutions using Microsoft Azure
  • Lead development of a unified data platform supporting business intelligence, analytics, AI/ML workloads, and real-time operational use cases
  • Design and evolve an API-first integration platform enabling internal teams and external partners to build and integrate services efficiently
  • Lead implementation and optimisation of data pipelines for data engineering, analytics, and machine learning
  • Implement best practices for MLOps, including model deployment, monitoring, versioning, and lifecycle management
  • Partner closely with data science and analytics teams to ensure platforms enable experimentation and production-grade AI
  • Build, lead, and mentor high-performing engineering teams across data platform and integration domains
  • Set engineering standards for code quality, security, reliability, and performance
  • Champion DevOps and CI/CD practices to ensure fast, safe, and repeatable delivery
  • Own the strategy and delivery of integration services, including public and private APIs, event-driven and asynchronous integrations, and authentication/authorisation models
  • Enable third-party vendors, partners, and developers to integrate seamlessly into CloserStill's ecosystem
  • Ensure strong governance, observability, and documentation across all integration services
  • Work closely with senior stakeholders across technology, product, data, and operations to align engineering outcomes with business objectives
  • Translate business needs into scalable technical solutions
  • Contribute to broader technology strategy and investment decisions
  • Align the roadmap to business outcome delivery

Requirements

  • Senior engineering leadership experience (Head of Engineering, Engineering Manager level)
  • Proven track record building data platforms for analytics and AI/ML
  • Deep Microsoft Azure expertise
  • Hands-on experience with Databricks, APIs, and integration platforms
  • Strong understanding of MLOps and productionizing machine learning
  • Experience leading and scaling engineering teams
  • Tech stack: Azure, Databricks, Python, PySpark, SQL, JavaScript, Node, Bash

Nice to have

  • Experience enabling third-party developer ecosystems or platform-as-a-product models
  • Familiarity with event-driven architectures and streaming technologies
  • Background in media, events, SaaS, or data-driven businesses
  • Strong understanding of security, identity, and access management in cloud platforms

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