Principal Engineer - Data and Infrastructure, Remote

Aledade, Inc. is a public benefit corporation focused on empowering independent primary care. They are seeking a Principal Engineer to shape the future of their AI-powered data ecosystem, overseeing the architecture and scaling of their data platforms while collaborating with product and engineering leadership.

Responsibilities:

• Architect complex systems and make critical technical decisions
• Solve challenging technical problems with innovative solutions
• Mentor engineers and promote engineering excellence across teams
• Align technical strategies with business goals through cross-functional collaboration
• Contribute to technical roadmaps and strategic planning
• Evaluate new technologies and lead innovation initiatives

Requirements:

• BS/BTech (or higher) in Computer Science, Engineering or a related field required
• 10+ years of production-level experience as an engineer building highly scalable systems
• 6+ years of experience acting as a trusted technical decision-maker in a team setting, solving for short-term and long-term business value
• 4+ years of experience working with SQL or other database querying languages on large multi-table data sets
• Experience architecting, developing, and deploying large-scale distributed systems at scale
• Experience with cloud technologies, e.g., AWS, Azure, GCP
• Experience building continuous integration and continuous development (CI/CD) pipelines
• Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go)
• 10+ years of production-level experience as an engineer building highly scalable and reliable infrastructure
• Strong background in architecting or implementing AI-driven features - with the ability to translate AI capabilities into scalable and performant products
• Proven track record in end-to-end architecture and delivery - guiding large teams (50+ engineers) across multiple product areas from initial conception through maturity
• Ability to lead and mentor senior engineering talent, shaping architecture decisions and technical direction across multiple teams
• Demonstrated success evaluating and adopting emerging technologies to drive company-wide technical strategies
• Experience working with data ingestion systems and optimizing performance for handling large-scale data processing and analysis
• Deep hands-on expertise with cloud infrastructure (AWS preferred), event streaming (Kafka), data processing (Databricks and Kafka), and large-scale database systems
• Familiarity with database replication, sharding and other techniques for scalability and high availability of databases
• Experience engineering systems for scalability, high availability, and security — with a focus on sensitive or regulated data
• Experience building observability platforms, performance monitoring, and optimization frameworks for large-scale systems and infrastructure
• Expertise in containerization/orchestration technologies (Docker, Kubernetes) and modern CI/CD pipelines
• Experience with health-tech systems (like Electronic Health Records, Clinical data, etc.) is desired