aledade - Principal Engineer - AI Data and Infrastructure, Remote

• 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) • ## Preferred Knowledge, Skills and/or Abilities: • 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 • Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.