Software Engineer, Data Infrastructure - AI Platform

Accountabilities

• • Optimize distributed data infrastructure: Own performance tuning for the serving layer, using query profiling and AI-assisted tooling to identify and resolve performance bottlenecks before they affect customers.
  • Build reliable data pipelines: Develop, maintain, and harden pipelines that support government cloud investigations, with a strong focus on reliability, correctness, and compliance.
  • Strengthen operational resilience: Become a second independent owner of the serving infrastructure, reducing single points of failure and improving incident response capabilities.
  • Troubleshoot production systems: Use AI-assisted debugging, log analysis, code exploration, and other engineering tools to investigate incidents and drive efficient root-cause resolution.
  • Own production reliability: Participate in on-call responsibilities, respond to incidents, improve runbooks, and implement learnings from production retrospectives.
  • Deliver infrastructure improvements quickly: Take ownership of infrastructure initiatives from investigation and design through implementation, testing, deployment, and ongoing operation.
  • Support compliance requirements: Build and maintain infrastructure capabilities that meet evolving government cloud security, reliability, audit, and data-retention requirements.
  • Collaborate across engineering and product: Work closely with Data Platform, Forward Deployed Engineering, Product, and other teams to maintain reliable and consistent capabilities across government and commercial environments.
  • Use AI as an engineering multiplier: Apply AI tools to accelerate debugging, code reviews, documentation, configuration work, research, and other repeatable engineering workflows while maintaining high technical standards.
  • Contribute to technical decision-making: Make architecture and infrastructure trade-offs based on evidence, operational experience, and system requirements, while sharing knowledge with the broader engineering organization.

  Requirements

  • U.S. citizenship is required due to government cloud data access requirements.
  • Hands-on experience operating distributed OLAP, analytical databases, or serving-layer systems such as StarRocks, Trino, ClickHouse, or comparable technologies.
  • Strong experience with query tuning, database performance optimization, and distributed systems at scale.
  • Experience owning data pipeline reliability, production operations, and incident response.
  • Demonstrated ability to independently learn and operate unfamiliar production infrastructure with minimal oversight.
  • Comfort with on-call responsibilities, production troubleshooting, and working in environments where reliability and operational excellence are critical.
  • Strong practical experience using AI-powered engineering tools such as Claude, Cursor, or comparable solutions to accelerate debugging, code review, research, documentation, and development.
  • Ability to apply AI thoughtfully to improve engineering speed and output quality rather than simply automate routine tasks.
  • Strong ownership mindset, with the ability to identify problems proactively and drive solutions from discovery through production.
  • Excellent technical judgment, communication, and collaboration skills.
  • Comfort working in a fast-paced, high-ownership environment with evolving priorities and a degree of ambiguity.
  • Ability to balance urgency and delivery speed with security, reliability, compliance, and high engineering standards.

  Benefits

  • Fully remote position for eligible Canada-based employees.
  • Opportunity to work on complex data infrastructure at the intersection of AI, public safety, security, and mission-critical technology.
  • High-autonomy environment with significant ownership over architecture, infrastructure, and operational outcomes.
  • Exposure to advanced distributed data systems, AI-assisted engineering practices, and highly regulated cloud environments.
  • Collaborative, distributed-first culture with frequent communication and cross-functional partnership.
  • Opportunity to participate in meaningful infrastructure projects with tangible customer and societal impact.
  • Fast-paced environment that emphasizes learning, experimentation, technical craftsmanship, and career growth.
  • Work alongside experienced engineers and cross-functional teams tackling complex technical and operational challenges.