Job description

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. 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, opportunity, 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. • 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 Preferred qualifications, capabilities, and skills • 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. Drive significant business impact and tackle a diverse array of challenges that span multiple technologies and applications

Requirements

Must-haves

Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.
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
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.
Deep understanding of KDB+tick design and data organization, performance implications of different approaches.
Practical experience developing/running large datasets and optimizing query performance.
Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field
Experience with market data venue and vendor data platforms.
AWS Experience.

Nice-to-haves

Preferred qualifications, capabilities, and skills

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

agileci/cdmachine learningawskubernetespythonjava

Platform: oracle-cloud
Effort: medium