JPMorgan Lead Software Engineer - KDB Equities Data Analytics Platform 

United Kingdom, England, London 

498793499

Job responsibilities

• Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
• Develops secure high-quality production code, and reviews and debugs code written by others
• Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
• Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
• Adds to team culture of diversity, equity, inclusion, and respect
• Develop core systems and deliver KDB based systems, including framework development
• Lead team members via book of work management. Improve team through SDLC, testing and continuous improvement of coding standards
• Develop scalable real-time processing solutions using agile methodology
• Partner with stakeholders to capture requirements and deliver solutions
• Partner with the application support teams to maintain and support the platform

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and advanced applied experience
• Hands-on practical experience delivering 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
• Development lead experience: requirements capture, task decomposition, time and effort estimation, delivery planning, testing, user acceptance testing.
• In depth understanding of KDB technology and Q language.
• 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.

Preferred qualifications, capabilities, and skills

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