As a Lead Software Engineer at JPMorgan Chase within the Commercial & Investment Bank, 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
- Leads end-to-end product delivery processes including intake, dependency management, release management, product operationalization, delivery feasibility decision-making, and product performance reporting, while escalating opportunities to improve efficiencies and functional coordination
- Leads the completion of change management activities across functional partners and ensures adherence to the firm’s risk, controls, compliance, and regulatory requirements
- Manages timelines and dependencies while monitoring blockers, ensuring adequate resourcing, and liaising with stakeholders and functional partners. Assesses and communicate risks, propose mitigation strategies, and make recommendations for potential impacts.
- Mentors and guide team members, fostering a culture of continuous learning and improvement.
- Drives automation and E2E testing for key initiatives across web and mobile channels, ensuring high-quality delivery. Defines and present test strategies, building impactful decks and artifacts for leadership and stakeholders.
- Develops and implement automation solutions, best practices, and guidelines to ensure consistency and maintainability. Monitors and analyze automated test results, troubleshoot failures, and resolve issues to maintain system stability and performance.
- Coordinates and prioritize testing efforts, including test planning, execution, and defect management, to ensure timely product delivery.
- Manages projects by tracking progress, anticipating and eliminating roadblocks, and reporting results to stakeholders.
- 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.
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Demonstrated ability to execute operational management and change readiness activities. Strong understanding of delivery and a proven track record of implementing continuous improvement processes
- Experience in product or platform-wide release management, in addition to deployment processes and strategies
- Expertise in automation tools (Cucumber, Gherkin, Java, Selenium, Python, Playwright). Experience in Quality Assurance or User Acceptance Testing, with experience in BDD/TDD and test case automation. Functional knowledge of the Payments domain and hands-on experience in requirements, user stories, and test script execution.
- Proven experience with test automation tools for efficient E2E test execution. Financial Services testing experience across multiple lines of business in high-volume, complex environments. Advanced skills in defect management tools, JIRA (including dashboards and JQL), and Agile/SW development life cycle.
- Strong data analysis skills, experience with data visualization platforms, and a record of leading through change and ambiguity.
- Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support solutions analysis workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted analyses and recommendations before use, escalating when uncertain and following data handling expectations.
- 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
- Proficient knowledge of the product development life cycle, design, and data analytics
- Understanding Core Banking & Payment processes
- Understanding ok UK based payment services is big plus
Skills Required
- Formal training or certification in software engineering concepts
- 5+ years of applied software engineering experience
- Experience with operational management and change readiness activities
- Experience implementing continuous improvement processes
- Experience with product or platform-wide release management and deployment strategies
- Expertise with Cucumber, Gherkin, Java, Selenium, Python, and Playwright
- Quality Assurance or User Acceptance Testing experience
- Experience with BDD/TDD and test case automation
- Functional knowledge of payments and hands-on experience with requirements, user stories, and test script execution
- Experience with end-to-end test automation in high-volume, complex financial services environments
- Advanced proficiency with defect management tools, JIRA dashboards, and JQL
- Experience with Agile and software development life cycle practices
- Strong data analysis skills and experience with data visualization platforms
- Experience using enterprise-authorized AI capabilities for solution analysis workflows
- Ability to validate AI-assisted analyses and recommendations and follow data-handling expectations
- Experience leading approved AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting
- Understanding of responsible AI use, data sensitivity, secure handling, resiliency, and security expectations
- Experience coaching engineers on safe and compliant AI-assisted engineering practices
- Knowledge of product development life cycle, design, and data analytics
- Understanding of Core Banking and payment processes
- Understanding of UK-based payment services
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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