We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank's Markets Research Technology Team, your role will be pivotal in an agile team, tasked with the design and delivery of secure, robust, and cutting-edge technology products. You will be instrumental in implementing vital technology solutions across a range of technical domains and business functions to further the firm's business goals. Your contributions will be part of a high-profile data modernization project, where your duty will be to build a scalable cloud-native data platform in accordance with strategic modern data practices. Your responsibilities will also encompass the development of a core data platform, data products and data-intensive applications to advance the Research Technology business and client intelligence agenda.
Job responsibilities
- 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
- Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
- Drives decisions that influence the product design, application functionality, and technical operations and processes
- Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development
- Builds end-to-end modern data pipelines and solutions, migrating data products to cloud-native platforms
- Designs and implements data engineering solutions, leveraging cloud-native data technologies and aligning with modern data architecture strategies
- Designs and implements hands-on solutions while providing technical leadership and mentorship to more junior team members
- Embraces a passion for learning, problem-solving, creative thinking and a can-do attitude
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering large-scale cloud-native data platforms
- Proficient in system design, application development, testing, and operational stability
- Advanced experience in one or more programming language(s) - Python/Java, and experience developing APIs and Backend services
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications
- Experience with Cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies
- Practical experience developing Production-scale Cloud-native data engineering solutions in commercial environments
- Familiarity with Cloud Data engineering services and technologies (e.g., ETL, Glue, S3, Athena, Redshift, Snowflake)
- Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds
Preferred qualifications, capabilities, and skills
- Experience with data and application migration to AWS in commercial settings
- Practical experience with Snowflake or Databricks
- Familiarity with data quality, observability and lineage tooling
- Experience developing APIs and Backend services
- Experience collaborating with data analysts, reporting teams or business analysts
- Familiarity with modern Business Intelligence and reporting tools
Skills Required
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering large-scale cloud-native data platforms
- Proficient in system design, application development, testing, and operational stability
- Advanced experience in one or more programming languages - Python or Java, and experience developing APIs and backend services
- Demonstrated experience leading effective use of approved AI-assisted software development tools and setting validation standards
- Strong understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and coaching engineers on safe adoption
- Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications
- Experience with cloud services, Infrastructure as Code, containerized application development, big data and modern data engineering technologies
- Familiarity with cloud data engineering services and technologies (e.g., ETL, Glue, S3, Athena, Redshift, Snowflake)
- Ability to convey design choices and results clearly to stakeholders
- Experience with data and application migration to AWS in commercial settings
- Practical experience with Snowflake or Databricks
- Familiarity with data quality, observability and lineage tooling
- Experience collaborating with data analysts, reporting teams or business analysts
- Familiarity with modern Business Intelligence and reporting tools
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental health coverage are comprehensive, with on-site clinics, preventive care, and specialized supports such as maternity nurse guidance and fertility treatments. Wellness activities can help offset copays and out-of-pocket costs, reinforcing the perceived strength of health benefits.
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Retirement Support — A 401(k) with dollar-for-dollar matching and additional automatic pay credits reflect strong employer-backed retirement savings. An employee stock purchase plan and related financial programs further bolster long-term financial support.
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Leave & Time Off Breadth — Paid time off, sick time, holidays, and generous parental leave are provided alongside family medical leave and adoption/fertility assistance. Additional programs like caregiver support and volunteer time off expand the breadth of time-away options.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
Why Work With Us
Our technologists work on a diverse range of solutions that include strategic technology initiatives, big data, mobile, electronic payments, machine learning, cybersecurity, enterprise cloud development, and other state-of-the-art technologies.
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