Software Engineer, Data Infrastructure – AI Platform

This is a fully remote position, open to applicants in United States.

📋 Description

• Take charge of performance optimization on the StarRocks serving layer by utilizing AI-driven query profiling to detect and resolve slow query patterns.

• Develop and strengthen data pipelines that support government cloud investigations.

• Become the second engineer capable of independently managing and troubleshooting the serving layer, thereby minimizing single points of failure.

• Employ AI-driven debugging and log analysis to address production issues and implement root-cause solutions.

• Review incidents, infrastructure tasks, and compliance milestones during weekly team meetings.

• Provide asynchronous daily updates regarding pipeline health, ticket statuses, and any obstacles.

• Engage in sprint-based planning and take ownership of assigned workstreams.

• Conduct post-incident reviews and update runbooks accordingly.

• Collaborate with Forward Deployed Engineering and Product teams to ensure consistency between government cloud and commercial platforms.

⛳️ Requirements

• U.S. citizenship is necessary due to access requirements for government cloud data.

• Practical experience with distributed OLAP or serving-layer systems like StarRocks, Trino, ClickHouse, or similar technologies.

• Proven track record in query tuning and performance optimization at scale.

• Experience in managing data pipeline reliability and incident response effectively.

• Proficiency with AI tools such as Claude, Cursor, or similar for debugging, code reviews, and documentation purposes.

• Capability to independently take ownership of unfamiliar production infrastructure.

• Ability to utilize AI-assisted research and code exploration for rapid learning.

• Willingness to accept on-call responsibilities with minimal supervision.

• AI fluency is a fundamental expectation and will be assessed during the interview process.

• Aptitude for working effectively in a high-intensity, high-ownership environment characterized by ambiguity and frequent changes.

🏝️ Benefits

• Competitive benefits.

• Wellness programs.

• Time off from work, varying based on country and local employment laws.

• Distributed-first work environment.