About this role
About the Role We're hiring an experienced Solution Architect and Senior Azure DevOps Lead to design, build, and operate a secure, highly available cloud data platform that hosts business-critical applications and AI/ML models. You'll own the architecture and automation behind our Azure infrastructure, drive DevOps best practices across a cross-functional engineering team, and make sure the platform holds up to the security and compliance bar expected in a tightly regulated environment. What You'll Do • Architect and lead delivery of enterprise cloud data platform hosting critical applications and AI models. • Design and maintain Azure DevOps CI/CD pipelines that automate provisioning of cloud infrastructure. • Implement and administer Databricks Unity Catalog. • Own Databricks workspace administration — cluster policies, instance pools, and autoscaling — balancing performance against cloud cost governance. • Deploy and operate Apache Airflow on Kubernetes (AKS) • Own the security and compliance posture of the cloud infrastructure, including network security groups, firewalls, and identity and access management. • Architect secure, scalable, highly available infrastructure for hosting AI models in production. • Lead, mentor, and grow a cross-functional engineering team, keeping delivery and operations running smoothly. • Partner with compliance, risk, and business stakeholders to onboard new applications and use cases onto the platform. What You'll Bring • 10+ years in cloud engineering, DevOps, or solution architecture, with deep hands-on Azure experience, including time in a senior or lead capacity. • Proven track record designing and running Azure DevOps CI/CD pipelines for infrastructure automation. • Strong hands-on experience with Kubernetes (AKS), Databricks, and Apache Airflow in production. • Experience implementing data governance / access-control frameworks (e.g., Unity Catalog or equivalent). • Working knowledge of secrets management (Azure Key Vault, HashiCorp Vault) and core infrastructure security controls (NSGs, firewalls, IAM). • Experience architecting or hosting AI/ML models on cloud infrastructure. • Experience leading or mentoring engineers, and working directly with enterprise stakeholders. • Strong written and verbal communication skills. Nice to Have • Experience in a highly regulated industry (financial services, insurance, healthcare, etc.). • Experience delivering AI/ML use cases for compliance or risk functions (e.g., KYC reviews, risk scoring). • Experience with data platform architecture and cloud cost optimization.