Lead Software Engineer- Python / Big Data / AWS/ ETL Pipelines

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 JPMorganChase within the Corporate Sector, Corporate 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.

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



* Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems


* Develops secure high-quality production code, and reviews and debugs code written by others


* Defines and drives the technology roadmap, focusing on next-generation data, analytics, and automation platforms


* Leads the adoption and integration of cutting-edge technologies including Databricks, Snowflake, AWS, and modern web frameworks


* Architects scalable, secure, and resilient solutions for valuation control, pricing, and regulatory compliance


* Champions the use of AI, machine learning, and advanced analytics to deliver real-time risk insights and anomaly detection


* Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems


* Designs and implements data pipelines, analytics workflows, and reporting solutions using Python, Databricks, and Spark


* Develops and maintains web-based applications and dashboards for valuation and risk management using modern web stacks (React, Angular, etc.)


* Builds and optimizes data models, ETL/ELT processes, and integration frameworks for large-scale financial data


* Ensures data quality, security, lineage, and governance across all team platforms

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


* Hands-on expertise in Python, Databricks, Spark, and data pipeline development


* Strong knowledge of cloud platforms (AWS, Azure, GCP) and data warehousing solutions (Snowflake, Databricks)


* Advanced proficiency in designing scalable, secure, and resilient systems for large-scale data environments


* Demonstrated ability to lead engineering teams, set technical direction, and deliver complex projects


* Demonstrated experience in leading and implementing standard software engineering practices, such as Agile development, code reviews, automated testing, CI/CD pipelines, and documentation


* Experienc...