Sr DevOps Engineer

At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change.

This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board.

• →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

• 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

• 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

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

Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status.

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.