Hiring: Principal Engineer - AI Data and Infrastructure, Remote Company: Aledade Location: United States Job Posted Time: 2026-09-12 10:44:42 Employment Type: Remote Target Skills & Keywords : AWS, Azure, C#, C++, CI/CD, Databricks, Docker, Electronic Health Records, GCP, Java, Kafka, Kubernetes, Python, SQL, Scala About the job Experience: •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 •10+ years of production-level experience as an engineer building highly scalable and reliable infrastructure Required Skills: •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. Qualifications: •BS/BTech (or higher) in Computer Science, Engineering or a related field required •Strong familiarity with server-side web technologies (eg: Java, Python, Scala, C#, C++, Go) •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. •Demonstrated capacity 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 •Deep hands-on expertise with cloud infrastructure (AWS preferred), event streaming (Kafka), data processing (Databricks and Kafka), and large-scale database systems Compensation: •Flexible work environment (work from home / hybrid options) •Competitive benefits and rewards package •Health, dental and vision insurance paid up to 80% for employees, dependents and domestic partners Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!