JPMorgan Sr Lead Software Engineer - KDB 

United States, New York, New York 

82417294

Job responsibilities

• Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
• Develops secure and high-quality production code, and reviews and debugs code written by others
• Doing core development and delivery of KDB based systems, including framework development.
• Leads team members via book of work management. Improve team through SDLC, testing and continuous improvement of coding standards.
• Develops scalable real-time processing solutions using agile methodology.
• Drives decisions that influence the product design, application functionality, and technical operations and processes
• Serves as a function-wide subject matter expert in one or more areas of focus
• Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
• Influences peers and project decision-makers to consider the use and application of leading-edge technologies
• Adds to the team culture of diversity, equity, inclusion, and respect

Required qualifications, capabilities, and skills

• 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: requirements capture, task decomposition, time and effort estimation, delivery planning, testing, user acceptance testing.
• Deep understanding of KDB technology and Q language. Solid professional experience using KDB. With at least an additional 2 years as a Lead.
• 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

• 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.