About the Role
We are seeking an experienced Solution Architect and Senior Azure DevOps Lead to design, build, and operate a secure, highly available cloud data platform that supports business-critical applications and AI/ML models. In this role, you will take ownership of the architecture and automation for our Azure infrastructure, advocate for DevOps best practices across a cross-functional engineering team, and ensure that the platform meets the stringent security and compliance standards expected in a regulated environment.
What You'll Do
- Architect and lead the delivery of an enterprise cloud data platform hosting critical applications and AI models.
- Design and maintain Azure DevOps CI/CD pipelines that automate the provisioning of cloud infrastructure.
- Implement and administer the Databricks Unity Catalog.
- Manage Databricks workspace administration, including cluster policies, instance pools, and autoscaling, while balancing performance against cloud cost governance.
- Deploy and operate Apache Airflow on Kubernetes (AKS).
- Champion the security and compliance posture of the cloud infrastructure, including network security groups, firewalls, and identity and access management.
- Architect secure, scalable, and highly available infrastructure for hosting AI models in production.
- Lead, mentor, and develop a cross-functional engineering team, ensuring smooth delivery and operations.
- Partner with compliance, risk, and business stakeholders to onboard new applications and use cases onto the platform.
What You'll Bring
- 10+ years of experience in cloud engineering, DevOps, or solution architecture, with extensive hands-on experience in Azure, particularly in a senior or lead role.
- A proven track record in designing and operating Azure DevOps CI/CD pipelines for infrastructure automation.
- Strong hands-on expertise with Kubernetes (AKS), Databricks, and Apache Airflow in a production environment.
- Experience in implementing data governance and 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 in architecting or hosting AI/ML models on cloud infrastructure.
- Experience in leading or mentoring engineers and collaborating 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.
Apply online using the form below. Only applications matching the job profile will be considered.
Work locationBasel, Switzerland