What are the responsibilities and job description for the Staff DevOps Engineer position at Qualified Health?
Job Summary :
Qualified Health is seeking a Staff Data Infrastructure 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 :
Desirable Skills :
Technical Environment :
Our infrastructure is built on modern cloud technologies including :
The role requires both deep expertise in these technologies and the ability to implement production-grade solutions using them.
What We Offer :
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.
Salary : $160,000 - $220,000
