Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank in Electronic Trading Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
- 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, opportunity, inclusion, and respect
- 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.
- 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.
- Experience in Terraform and Kubernetes from managing a Production Plant in Public Cloud.