Lead Software Engineer - Python (Data engineering), Equities Technology

Actively Reviewing the Applications

JPMorganChase

India, Maharashtra, Mumbai Full-Time On-site

Posted 16 hours ago • Apply by June 9, 2026

Job Description

Job Description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Bank's Equities Technology – Prime Services team, 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. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

Design and Implement data pipelines and data stores that will be leveraged by quant models
Work closely with Trading Desk, Production Support, Quantitative Researchers and other Global Technology teams on Data Products and Analytics
Execute software solutions, design, develop, and technically troubleshoot with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
Create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
Produce architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
Gather, analyze, synthesize, and develop visualizations and reporting from large, diverse data sets in service of continuous improvement of software applications and systems
Proactively identify hidden problems and patterns in data and use these insights to drive improvements to coding hygiene and system architecture
Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
Add to team culture of diversity, opportunity, inclusion, and respect

Required Qualifications, Capabilities, And Skills

Formal training or certification on software engineering concepts and 5+ years of applied experience
Advanced proficiency in Python for data engineering with exposure in capital markets, equities.
Demonstrated ownership of data quality/observability, Lineage and Governance in production environments
Strong knowledge of SQL and schema design for analytical and time series workloads; performance tuning on columnar data
Expertise in data management on AWS (S3, Glue, Athena, MWAA)
Hands-on practical experience delivering system design, application development, testing and mission critical operational data flows
Practical cloud native experience

Preferred Qualifications, Capabilities, And Skills

Prior knowledge of Capital Markets will be a strong plus
Data streaming knowledge on frameworks like Kafka, AMPS will be beneficial
Familiarity and prior experience on KDB/q will be beneficial
Experience of working with and manipulating datasets using Pandas/Numpy/Scikit will be desirable

ABOUT US