Kdb - Senior Lead Software Engineer

JPMorgan Chase JPMorgan Chase · Banking · Jersey City, NJ +1 · Commercial & Investment Bank

Senior Lead Software Engineer role focused on developing and delivering KDB based systems for electronic trading technology at JPMorgan Chase. Requires deep expertise in KDB/Q, real-time processing, and agile methodologies. Responsibilities include technical guidance, code development, system design, and team leadership.

What you'd actually do

  1. Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
  2. Develops secure and high-quality production code, and reviews and debugs code written by others
  3. Doing core development and delivery of KDB based systems, including framework development.
  4. Leads team members via book of work management. Improve team through SDLC, testing and continuous improvement of coding standards.
  5. Develops scalable real-time processing solutions using agile methodology.

Skills

Required

  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Hands-on practical experience delivering system design, application development, testing, and operational stability
  • Advanced in one or more programming language(s) KDB, Q language
  • Proficiency in automation and continuous delivery methods
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
  • Development lead and mentoring experience
  • Deep understanding of KDB technology and Q language
  • Solid professional experience using KDB
  • Deep understanding of KDB+tick design and data organization, performance implications of different approaches
  • Practical experience developing/running large datasets and optimizing query performance
  • Practical experience scaling and load-balancing of KDB applications
  • Practical experience building resilient and high-availability KDB applications
  • Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
  • Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Nice to have

  • Experience with market data venue and vendor data platforms
  • AWS Experience
  • Experience in Terraform and Kubernetes from managing a Production Plant in Public Cloud
  • Experience other languages e.g. Python/C/C++/Java

What the JD emphasized

  • Deep understanding of KDB technology and Q language
  • Solid professional experience using KDB
  • Deep understanding of KDB+tick design and data organization, performance implications of different approaches
  • Practical experience developing/running large datasets and optimizing query performance
  • Practical experience scaling and load-balancing of KDB applications
  • Practical experience building resilient and high-availability KDB applications