Senior DevOps Engineer

Transform healthcare with us.

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.

Join us in shaping the future of healthcare.

Job Summary:

Qualified Health is seeking a Senior DevOps Engineer to serve as both a technical leader and implementation authority for our data platform infrastructure and automation practices. In this role, you'll combine deep infrastructure engineering expertise with healthcare compliance knowledge to design, implement, and maintain robust, secure automation frameworks that power our data processing environments. You'll directly build and deploy critical data infrastructure components while also driving strategic automation initiatives, working closely with ETL and data engineering teams to ensure reliable, scalable data operations.

Key Responsibilities:

• Lead by doing: directly architect, implement, and maintain enterprise-grade infrastructure automation solutions specifically focused on data processing environments and pipelines
• Own the end-to-end technical implementation of data infrastructure, from initial environment setup through production deployment and ongoing operations
• Drive technical planning and architecture discussions with data engineering teams, defining and implementing automation patterns that ensure data pipeline reliability and performance
• Provide hands-on technical oversight of data infrastructure implementations, ensuring robust monitoring, logging, and compliance controls across all data environments
• Develop, test, and deploy reusable infrastructure components and automation frameworks to accelerate data pipeline development and ensure consistency across environments
• Implement sophisticated monitoring, alerting, and self-healing solutions focused on data pipeline health, performance, and availability
• Actively optimize data infrastructure performance and cost efficiency, solving complex scaling challenges in production data processing environments
• Provide authoritative guidance on data infrastructure architecture, automation patterns, and security best practices to data engineering teams
• Design and implement comprehensive observability solutions for data pipelines, ensuring rapid detection and resolution of issues
• Partner with ETL engineers to resolve complex infrastructure challenges and ensure high availability of data processing systems
• Influence technical roadmap based on deep understanding of data infrastructure requirements and hands-on implementation experience

Required Qualifications:

• 8+ years of experience in infrastructure engineering, with demonstrated expertise in cloud platform architecture and automation
• Extensive hands-on experience building and maintaining production cloud infrastructure using modern DevOps practices
• Deep technical knowledge of infrastructure-as-code and configuration management tools (Terraform, Ansible, Puppet)
• Proven track record implementing secure, compliant cloud solutions in regulated healthcare environments
• Strong history of directly building and deploying complex automation solutions at enterprise scale
• Demonstrated ability to both architect solutions and implement them hands-on with high reliability
• Advanced platform engineering capabilities with extensive experience in:
• Modern programming languages (Python, Go, Shell scripting)
• Azure cloud platform and services (AKS, Data Factory, Synapse)
• Container orchestration (Kubernetes, Docker)
• CI/CD pipeline design and implementation
• Infrastructure monitoring and observability
• Security and compliance automation
• Outstanding written and verbal communication skills, with ability to explain complex infrastructure architectures to varied audiences while documenting implementations thoroughly
• Bachelor's degree in Computer Science, Engineering, or related field

Desirable Skills:

• Experience supporting AI/ML infrastructure in healthcare environments
• Deep expertise in Azure cloud services with hands-on implementation experience
• Practical experience implementing HIPAA and HITRUST controls in cloud infrastructure
• Track record building self-healing and auto-scaling infrastructure solutions
• Relevant cloud platform or security certifications (Azure, CISSP, etc.)
• Master's degree in relevant field

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

The role requires both deep expertise in these technologies and the ability to implement production-grade solutions using them.

What We Offer:

• Competitive startup salary and equity packages.
• Health, dental, and vision insurance.
• Flexible working hours and hybrid work options.
• An opportunity to be at the forefront of AI in healthcare, making substantial impacts on patient care and outcomes.
• A vibrant and inclusive work environment that fosters creativity and innovation.

Pay & Benefits: The pay range for this role is between $160,000 and $220,000, 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.