Push the limits of what’s possible with us as an experienced member of our Software Engineering team.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector, 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.
This role within the market surveillance and data processing domain requires deep expertise in big data technologies, cloud platforms, database programming, and the ability to guide and mentor engineering teams.
Job Responsibilities
- Design and develop secure, high-quality production code, and review and debug code written by others
- Provide guidance to software engineers on daily tasks and activities, serving as a technical leader and mentor to the development team
- Serve as an integral member of the development team to create practical solutions in Agile/DevOps environments
- Design and build enterprise-scale, high-volume data processing applications for market surveillance systems, handling large volumes of financial data in batch.
- 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.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
- Manage stakeholder relationships and communicate clearly with stakeholders, presenting ideas effectively
- Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
- Drive architectural decisions and technical strategy for data processing and market surveillance solutions
- Champion best practices in coding hygiene, system architecture, and operational excellence
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years of applied experience
- Advanced proficiency in Core Java and Java EE application development and proficiency in automation and continuous delivery methods
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience with database programming, understanding, designing and build enterprise-scale and high-volume data processing applications.
- Experience with Oracle SQL optimization and troubleshooting performance
- 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
- Strong experience with batch processing systems and Autosys for job scheduling and workflow management
- Ability to work under pressure and take ownership of issues with a sense of urgency to solve problems and propose solutions
- Strong analytical and problem-solving skills with ability to multi-task, proactive approach, and attention to detail .Good Communication and Collaboration skills
- Working knowledge of LLMs and AI coding assistants (e.g., Copilot) to accelerate secure coding, test generation, and documentation, with attention to data privacy, prompt hygiene, and traceability.
Preferred Qualifications, Capabilities, and Skills
- Extensive hands-on experience with AWS/Databricks; certifications in AWS, Databricks, and Terraform highly desirable
- Experience in building data pipelines using Apache Spark and financial products knowledge (Futures & Options, FX, Commodities, Equities/Derivatives) and trade lifecycles. Proficiency with AI coding assistants (GitHub Copilot, Windsurfer) and LLM applications in software development
- Experience with market surveillance systems for compliance monitoring and suspicious activity detection and strong stakeholder communication and presentation skills
- Working knowledge of LLMs and AI coding assistants (e.g., Copilot) to accelerate secure coding, test generation, and documentation, with attention to data privacy, prompt hygiene, and traceability.
Skills Required
- Formal training or certification in software engineering concepts
- At least 5 years of applied software engineering experience
- Advanced proficiency in Core Java and Java EE application development
- Proficiency in automation and continuous delivery methods
- Advanced understanding of Agile methodologies, CI/CD, application resiliency, and security
- Experience with database programming and enterprise-scale, high-volume data processing applications
- Experience with Oracle SQL optimization and performance troubleshooting
- Experience leading approved AI-assisted software development tools and validating outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations
- Experience with batch processing systems and Autosys for job scheduling and workflow management
- Ability to work under pressure, take ownership of issues, and solve problems urgently
- Strong analytical, problem-solving, multitasking, communication, and collaboration skills
- Working knowledge of LLMs and AI coding assistants, including data privacy, prompt hygiene, and traceability
- Extensive hands-on experience with AWS and Databricks
- AWS, Databricks, and Terraform certifications
- Experience building data pipelines with Apache Spark
- Knowledge of financial products and trade lifecycles
- Experience with market surveillance systems for compliance monitoring and suspicious activity detection
- Strong stakeholder communication and presentation skills
- Proficiency with GitHub Copilot, Windsurfer, and LLM applications in software development
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 broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
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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