Head of Cloud Engineering

About the Role

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

Platform & Architecture Leadership

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.

Data, AI & MLOps

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.

Engineering Leadership & Delivery

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. Balance strategic architecture work with hands-on technical leadership where required. Define and own the engineering roadmap and align to resource needs.

Integration & Ecosystem Enablement

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.

Stakeholder Collaboration

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.

Tech Stack

• Azure
• Databricks
• Bash
• JavaScript
• Node
• Python
• PySpark
• SQL

Who you are

• A technical leader who's built modern data platforms and integration systems at scale
• Someone who's equally comfortable designing cloud architecture and rolling up their sleeves to solve hard problems
• You've led engineering teams, championed DevOps practices, and have deep Azure experience
• Bonus points if you've enabled third-party developer ecosystems or worked in media/events/SaaS
• 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
• Proven experience in a senior engineering leadership role (Head of Engineering, Engineering Manager, or similar)
• Strong background in building data platforms for analytics and operational use cases
• Deep experience with Microsoft Azure cloud services
• Hands-on experience designing and building APIs and integration platforms
• Experience working with Databricks for data engineering and analytics
• Strong understanding of MLOps practices and productionizing machine learning models
• Experience leading and scaling engineering teams in a modern, agile environment
• Strategic thinker with a strong bias toward execution
• Comfortable operating at both architectural and hands-on levels
• Excellent communicator, able to engage technical and non-technical stakeholders and provide clear, concise project updates
• Passionate about data, AI, and building platforms that unlock business value
• Natural leader who develops teams and fosters a culture of engineering excellence

Desirable

• 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