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KDB+ Senior Lead Software Engineer - Vice President

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 3 months ago

No clicks

As a Lead KDB Developer within Equities Trading at JPMorgan Chase, you'll design and deliver a next-generation KDB platform and global ticker plant to support high-performance real-time and historical futures trading data. You'll collaborate with Algo, Quantitative Research, and trading teams to define requirements, coordinate migrations, and implement data enrichment for algorithm validation. The role involves hands-on development, performance optimization, automation, and operational support as the team migrates to AWS and modernizes the technology stack. You will also lead and mentor team members and drive continuous improvement of coding standards and SDLC practices.

Compensation
Not specified

Currency: Not specified

City
London
Country
United Kingdom

Full Job Description

Location: LONDON, LONDON, United Kingdom

Be an integral part of a technology team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead KDB Developer at JPMorgan Chase within Equities Trading you will play a pivotal role in building our next-generation KDB platform to support JPMorgan Chase’s global Futures trading business. You will design and deliver a scalable KDB ticker plant to capture all global futures trading activity, providing both historical and real-time access.

In this role, you’ll work closely with Algo, Quantitative Research (QR), and trading teams to define requirements, coordinate data migrations, and implement enrichment logic to validate and optimize algorithm performance. This is a unique opportunity to shape the core data infrastructure for our trading platform as we migrate to AWS and modernize our technology stack.

Job Responsibilities

  • Design, develop, and deliver scalable KDB-based systems, including the global KDB ticker plant for real-time and historical trading data.
  • Collaborate with Algo and QR teams to capture requirements, coordinate migrations, and implement data enrichment for algorithm validation and performance analysis.
  • Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches.
  • Develop secure, high-quality production code; review and debug code written by others.
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability.
  • Lead and mentor team members, manage book of work, and drive continuous improvement of coding standards and SDLC practices.
  • Develop scalable real-time processing solutions using agile methodology.
  • Partner with application support teams to maintain and support the platform.
  • Engage with stakeholders to deliver data-driven solutions and support business objectives.

Required Qualifications, Capabilities, and Skills

  • At least 4 years of hands-on professional experience with KDB and Q language (mid-level to senior).
  • Deep understanding of KDB+ tick design, data organization, and performance optimization.
  • Experience developing and running large datasets, optimizing query performance, and building resilient, high-availability KDB applications.
  • Experience collaborating with quant, algo, or trading teams to deliver data solutions.
  • Formal training or certification on software engineering concepts and advanced applied experience.
  • Hands-on experience with system design, application development, testing, and operational stability.
  • Proficiency in automation and continuous delivery methods.
  • Proficient in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security.
  • Experience with requirements capture, task decomposition, estimation, delivery planning, and user acceptance testing.
  • Experience with scaling and load-balancing KDB applications.

Preferred Qualifications, Capabilities, and Skills

  • Experience with Terraform and Kubernetes for managing production environments in public cloud.
  • AWS experience.
  • Experience with other programming languages (e.g., Python, C, C++, Java).
  • Experience with market data venues and vendor data platforms.
Develop next-gen KDB platform for global Futures trading to deliver high-performance data solution

KDB+ Senior Lead Software Engineer - Vice President

Compensation

Not specified

City: London

Country: United Kingdom

J.P. Morgan logo
Bulge Bracket Investment Banks

3 months ago

No clicks

at J.P. Morgan

ExperiencedNo visa sponsorship

As a Lead KDB Developer within Equities Trading at JPMorgan Chase, you'll design and deliver a next-generation KDB platform and global ticker plant to support high-performance real-time and historical futures trading data. You'll collaborate with Algo, Quantitative Research, and trading teams to define requirements, coordinate migrations, and implement data enrichment for algorithm validation. The role involves hands-on development, performance optimization, automation, and operational support as the team migrates to AWS and modernizes the technology stack. You will also lead and mentor team members and drive continuous improvement of coding standards and SDLC practices.

Full Job Description

Location: LONDON, LONDON, United Kingdom

Be an integral part of a technology team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.

As a Lead KDB Developer at JPMorgan Chase within Equities Trading you will play a pivotal role in building our next-generation KDB platform to support JPMorgan Chase’s global Futures trading business. You will design and deliver a scalable KDB ticker plant to capture all global futures trading activity, providing both historical and real-time access.

In this role, you’ll work closely with Algo, Quantitative Research (QR), and trading teams to define requirements, coordinate data migrations, and implement enrichment logic to validate and optimize algorithm performance. This is a unique opportunity to shape the core data infrastructure for our trading platform as we migrate to AWS and modernize our technology stack.

Job Responsibilities

  • Design, develop, and deliver scalable KDB-based systems, including the global KDB ticker plant for real-time and historical trading data.
  • Collaborate with Algo and QR teams to capture requirements, coordinate migrations, and implement data enrichment for algorithm validation and performance analysis.
  • Execute creative software solutions, design, development, and technical troubleshooting, thinking beyond routine or conventional approaches.
  • Develop secure, high-quality production code; review and debug code written by others.
  • Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability.
  • Lead and mentor team members, manage book of work, and drive continuous improvement of coding standards and SDLC practices.
  • Develop scalable real-time processing solutions using agile methodology.
  • Partner with application support teams to maintain and support the platform.
  • Engage with stakeholders to deliver data-driven solutions and support business objectives.

Required Qualifications, Capabilities, and Skills

  • At least 4 years of hands-on professional experience with KDB and Q language (mid-level to senior).
  • Deep understanding of KDB+ tick design, data organization, and performance optimization.
  • Experience developing and running large datasets, optimizing query performance, and building resilient, high-availability KDB applications.
  • Experience collaborating with quant, algo, or trading teams to deliver data solutions.
  • Formal training or certification on software engineering concepts and advanced applied experience.
  • Hands-on experience with system design, application development, testing, and operational stability.
  • Proficiency in automation and continuous delivery methods.
  • Proficient in all aspects of the Software Development Life Cycle.
  • Advanced understanding of agile methodologies such as CI/CD, application resiliency, and security.
  • Experience with requirements capture, task decomposition, estimation, delivery planning, and user acceptance testing.
  • Experience with scaling and load-balancing KDB applications.

Preferred Qualifications, Capabilities, and Skills

  • Experience with Terraform and Kubernetes for managing production environments in public cloud.
  • AWS experience.
  • Experience with other programming languages (e.g., Python, C, C++, Java).
  • Experience with market data venues and vendor data platforms.
Develop next-gen KDB platform for global Futures trading to deliver high-performance data solution