Job Summary:We're looking for a Senior DevOps Engineer to own and scale our cloud infrastructure powering AI solutions for major health systems. You'll architect and manage multi-tenant Azure environments, build robust Terraform automation, and maintain Databricks data platforms that process clinical data at scale. As a key member of our infrastructure team, you'll ensure our healthcare clients operate in fully isolated, compliant environments while enabling seamless data analytics and AI workloads.
Key Responsibilities:- Design, deploy, and maintain multi-tenant Azure infrastructure for healthcare clients, ensuring complete isolation between environments for security and compliance
- Develop and maintain modular Terraform codebases with environment-specific configurations, shared modules, and isolated state management per client
- Build and manage Databricks workspaces including Unity Catalog integration, cluster policies, storage credentials, and Access Connector configurations
- Implement data platform architecture including ADLS Gen2 storage with medallion architecture (bronze/silver/gold layers) and Delta Sharing capabilities
- Configure and troubleshoot cross-tenant data sharing using Microsoft Fabric and Delta Sharing protocols
- Manage network security including private endpoints, NAT Gateway configurations, and secure connectivity for external data sources
- Maintain Azure Key Vault integrations for credential management, service principal configurations, and secrets rotation
- Collaborate with healthcare IT teams on data sharing requirements, connectivity configurations, and compliance needs
- Develop infrastructure patterns for rapid client onboarding while maintaining security and isolation requirements
- Troubleshoot production issues across Azure services, Databricks workspaces, and data pipelines
Required Qualifications:- 5+ years of experience in DevOps, Infrastructure Engineering, or Cloud Platform Engineering
- Strong proficiency with Terraform including module development, state management, and multi-environment architectures
- Deep experience with Microsoft Azure services including Databricks, Resource Groups, ADLS Gen2, Key Vault, Virtual Networks, Private Endpoints, and NAT Gateway
- Hands-on experience with Databricks including workspace administration, Unity Catalog, cluster management, and storage credentials
- Understanding of data platform concepts including medallion architecture, Delta Lake, and data sharing protocols
- Experience with identity and access management including Azure AD, service principals, managed identities, and RBAC
- Familiarity with CI/CD pipelines and GitOps workflows for infrastructure deployment
- Strong troubleshooting skills with ability to diagnose complex cross-service issues
- Excellent communication skills for collaborating with external healthcare IT teams
- Bachelor's degree in Computer Science, Engineering, or related field, or equivalent experience
Desirable Skills:- Experience in healthcare industry with understanding of HIPAA compliance requirements
- Multi-cloud experience with GCP and/or AWS in addition to Azure
- Experience with Microsoft Fabric for data sharing and analytics
- Familiarity with data replication architectures (PostgreSQL, MySQL) and CDC patterns
- Experience with Python for automation and scripting
- Knowledge of Kubernetes and container orchestration
- Experience with monitoring and observability tools (Datadog, Azure Monitor)
- Previous experience building multi-tenant SaaS infrastructure
Technical Environment:Our infrastructure is built on modern cloud technologies including:
- Azure Cloud Platform (primary)
- Azure Kubernetes Service (AKS)
- Azure DevOps
- Azure Data Factory
- Azure Synapse Analytics
- Azure Databricks
- Terraform, Ansible
- Python, Go, Shell scripting
- Modern monitoring and observability tools
Pay & Benefits: The pay range for this role is between $160,000 and $210,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits.
Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.
