K

KX

Time-aware data platform powering AI insights

KDB Product Support Engineer

Customer SupportConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$100k - $130k

About the Job

Requirements

  • At least 2 years of experience in product or technical support, or kdb+/q engineering roles.
  • Experience supporting enterprise or mission-critical systems.
  • Experience troubleshooting performance, memory, or networking issues.
  • Experience working with real-time or time-series data systems.
  • Hands-on kdb+/q experience.
  • Linux/Unix system administration skills.
  • SQL and database proficiency.
  • Strong analytical and problem-solving capabilities.
  • Strong communication skills.

Responsibilities

  • Provide advanced technical support for KX products, ensuring stability and high performance.
  • Troubleshoot issues related to kdb+/q, data pipelines, networking, and system performance.
  • Support customer deployments, upgrades, and production incidents.
  • Perform deep-dive root cause analysis for high-impact issues.
  • Collaborate with engineering to resolve product defects and enhance product functionality.
  • Create and maintain technical documentation and knowledge-base articles.
  • Participate in a global on-call rotation, including occasional weekend or after-hours coverage.

Desired Qualifications

  • Experience in financial services, market data, or trading systems.
  • Knowledge of real-time data pipelines or messaging, including Kafka or Solace.
  • Scripting experience with Python or Shell.
  • Familiarity with ITIL support processes.
  • Understanding of TCP/IP and networking fundamentals.

About the Company

KX

Time-aware data platform powering AI insights

KX provides a data and analytics foundation that delivers time-aware, complete, and timely data to power AI-enabled decision making. It collects and harmonizes large datasets, tracks how data changes over time, and runs scalable analytics and dashboards optimized for AI workloads. This helps fast-moving organizations generate faster and more accurate insights at any scale with cost efficiency. Its focus on change-over-time data and scalable performance helps sectors like finance, aerospace, manufacturing, healthcare, automotive, and fleet telematics maximize AI value and outpace competitors.

Company size
201-500
Company stage
Not listed
Total funding
Not listed
Headquarters
Newry, United Kingdom
Founded
1993

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