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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