[Remote] Principal Engineer - AI Data and Infrastructure, Remote
Note: The job is a remote job and is open to candidates in USA. Aledade, Inc. is a public benefit corporation focused on empowering independent primary care. The Principal Software Engineer will lead the development of AI-powered data ecosystems, architecting high-performance data platforms and collaborating with product and engineering teams to drive business impact.
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
Skills
- 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
Benefits
- Flexible work schedules and the ability to work remotely are available for many roles
- Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners
- Robust time-off plan (21 days of PTO in your first year)
- Two paid volunteer days and 11 paid holidays
- 12 weeks paid parental leave for all new parents
- Six weeks paid sabbatical after six years of service
- Educational Assistant Program and Clinical Employee Reimbursement Program
- 401(k) with up to 4% match
- Stock options
Company Overview
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