Principal Engineer - Data and Infrastructure

Role Description

As a Principal Software Engineer, you’ll be one of the most senior technical leaders shaping the future of our AI-powered data ecosystem:

• Architecting the high-performance foundations of next-generation agentic data platforms.
• Scaling our infrastructure for millions of users worldwide.
• Partnering with product and engineering leadership to translate technical strategy into business impact.
• Setting the direction for a unified data platform designed for an AI-first future.
• Guiding dozens of engineering teams to bridge the gap between raw data and actionable AI.
• Blending high-level architectural influence with hands-on code contributions.
• Tackling complex problems in data orchestration, low-latency processing, and developer velocity.

Primary Duties:

• 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.
• 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 (e.g., Java, Python, Scala, C#, C++, Go).

Requirements

• 10+ years of production-level experience as an engineer building highly scalable and reliable infrastructure.
• Strong background in architecting or implementing AI-driven features.
• Proven track record in end-to-end architecture and delivery, guiding large teams (50+ engineers) across multiple product areas.
• 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.
• And much more!