Senior Software Engineer, Data Infrastructure - AI Platform

New
J
JobgetherData Infrastructure
USFull-TimeSenior
Salary not disclosed
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Job Details

Required Skills
ClickhouseDistributed Systems

Requirements

  • U.S. citizenship is required.
  • Strong hands-on experience operating distributed OLAP, analytical database, or serving-layer systems.
  • Expertise in query tuning, database performance optimization, and distributed systems at scale.
  • Experience owning data pipeline reliability, production infrastructure, and incident response.
  • Ability to independently take ownership of unfamiliar infrastructure.
  • Experience with on-call responsibilities and commitment to operational excellence.
  • Proven ability to use AI-powered engineering tools such as Claude, Cursor, or comparable platforms.
  • Strong applied AI fluency for structuring problems and increasing engineering leverage.
  • Excellent technical judgment and a strong ownership mindset.
  • Strong communication and collaboration skills in distributed environments.
  • Ability to operate effectively in a fast-moving environment with shifting priorities.
  • Ability to balance rapid execution with high standards for security, compliance, and quality.

Responsibilities

  • Lead performance tuning for a distributed OLAP serving layer using query profiling and AI-assisted tools.
  • Develop and harden reliable data pipelines supporting government cloud investigations.
  • Improve infrastructure resilience by identifying and reducing single points of failure.
  • Lead production troubleshooting and root cause analysis using systematic investigation techniques.
  • Participate in on-call rotations and maintain operational procedures and runbooks.
  • Deliver infrastructure projects from design through implementation and operational ownership.
  • Build infrastructure capabilities meeting government cloud audit, data retention, and security standards.
  • Collaborate with Data Platform, Product, and Forward Deployed Engineering teams.
  • Utilize AI tools to accelerate debugging, code review, documentation, and configuration.
  • Contribute to technical strategy and architecture through evidence-based decision-making.
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