Senior Lead Software Engineer - Python & AWS

As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank's Credit Technology team - you will be a lead technical expert and drive impact within teams, technologies, and projects across departments. Utilizing your in-depth knowledge of software, applications, data, technical processes, and product management to drive multiple complex projects and initiatives, while serving as a primary decision maker for your teams and be a driver of innovation and solution delivery.

The successful candidate will focus on development of our strategic data pipelines across our data platform, partnering closely with our business stakeholders, quantitative research and broader technology team. The team is responsible for development and integration of data solutions in a fast-paced environment, with our data platform used across our global Credit Trading business. You will be driving development of software components for the firm’s state-of-the-art technology products in a secure, stable, and scalable way.

Job responsibilities

• Develop data pipelines across both real-time and end of day business needs for Credit Securities, Derivatives and Exotics products.

• Develop innovative software solutions to deliver scalable and reliable front office data services.

• Accountability for coding decisions, control obligations, and measures of success such as cost of ownership, maintainability, and portfolio operations

• Introduce new technologies and solutions to increase operational stability and productivity

• Influence peer leaders and senior stakeholders across the business, product, and technology teams

• Designs and develops with consideration of upstream and downstream systems and technical implications.

• Learns and applies system processes, methodologies, and skills for the development of secure and stable systems.

Required qualifications, capabilities, and skills

• Formal training or certification on software engineering concepts and applied experience

• Expert applied experience in front office technology and financial data landscape

• Experience developing complex data pipelines on-prem and in cloud services like AWS, Azure, or GCP

• Strong understanding of Python and object-oriented concepts

• Experience working across cross-functional teams of technologists

• Hands-on practical experience in system design, data engineering, application development and operational stability

• Creative, quick-thinking, pragmatic, with an aptitude for solving problems with technology and an ability to quickly translate requirements into a sound technical design and implementation.

• Expertise in Computer Science, Computer Engineering, Mathematics, or a related technical field

• Understanding of Credit or similar financial markets products

• Experience across one or more database technologies: RDBMS (e.g. Oracle, Postgres), Time-series Databases (e.g. KDB+, Vertica)