At JPMorganChase, we believe the best engineers don't just write code — they raise the bar for how software is built, secured, and sustained across the entire organization. If you're passionate about enabling AI-driven development practices, championing application health, and guiding teams toward a future where vulnerabilities and technical debt are the exception rather than the rule, this is your opportunity to make a lasting impact at one of the world's most influential technology organizations.
As a Senior Lead Software Engineer at JPMorganChase within Corporate Technology, you will serve as a technical authority and role model for building secure, healthy applications at scale — driving the adoption of AI-assisted engineering practices, eliminating vulnerabilities, and leading the modernization of applications through sound architectural principles and proactive technical lifecycle management. Your work will directly shape how engineering teams across the firm design, build, and maintain software in an era of agentic AI and accelerating delivery expectations.
Job Responsibilities
- Drive adoption and governance of enterprise-authorized AI-assisted engineering practices — including agentic coding tools such as Claude, GitHub Copilot, and similar platforms — across teams to improve code quality, delivery speed, and operational outcomes, while establishing measurable validation standards and promoting reuse of proven patterns within the Software Development Life Cycle toolchain
- Champion application health standards across the engineering organization, serving as a role model for building new applications in a secure, resilient, and well-architected state from inception
- Lead technical lifecycle management efforts, identifying and remediating aging components, deprecated dependencies, and systemic vulnerabilities before they create risk or operational burden
- Partner with architecture and security teams to embed secure-by-design principles into development workflows, ensuring applications meet firm-wide health and compliance expectations at every stage of delivery
- Evaluate and guide teams on the responsible use of agentic AI coding tools, establishing clear expectations for human-in-the-loop validation, output review, and secure handling of sensitive data within AI-assisted workflows
- Contribute to the evolution of engineering standards and toolchain automation, identifying opportunities to reduce manual toil, accelerate release readiness, and improve traceability and auditability across the delivery pipeline
- Mentor and coach engineers at multiple levels, sharing expertise in application health, AI-enabled development, and technical lifecycle practices to elevate team capability and build a culture of engineering excellence
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale
Required Qualifications, Capabilities, and Skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Demonstrated expertise in building and maintaining secure, production-grade applications with a strong command of application health principles, including vulnerability management, dependency hygiene, and technical debt reduction
- Hands-on experience with technical lifecycle management practices, including application modernization, deprecated component remediation, and proactive risk identification across software portfolios
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers and leads on compliant usage patterns and controls
- Proficiency in modern software engineering practices including CI/CD pipeline automation, automated testing strategies, secure coding standards, and peer review processes
- Ability to communicate complex technical concepts clearly to both engineering and non-engineering stakeholders, influencing decisions and driving alignment across cross-functional teams
Preferred Qualifications, Capabilities, and Skills
- Experience working with agentic AI coding platforms (e.g., Claude, GitHub Copilot, or equivalent enterprise-authorized tools) in a production engineering environment, with demonstrated ability to govern their use responsibly at team or program scale
- Familiarity with application health frameworks, static analysis tooling, software composition analysis, or similar vulnerability and lifecycle management platforms
- Experience contributing to or defining engineering standards, architectural patterns, or developer experience initiatives within a large-scale technology organization
- Exposure to cloud-native application development and infrastructure-as-code practices, with an understanding of how platform choices affect long-term application health and maintainability
- Background in coaching or mentoring engineers on secure development practices, AI-assisted workflows, or technical modernization programs
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering concepts
- 5+ years of applied software engineering experience
- Experience building and maintaining secure, production-grade applications
- Expertise in vulnerability management, dependency hygiene, and technical debt reduction
- Experience with technical lifecycle management, application modernization, deprecated component remediation, and proactive risk identification
- Experience leading enterprise-authorized AI-assisted software development tools and validating AI outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security controls
- Proficiency in CI/CD automation, automated testing, secure coding, and peer review
- Ability to communicate complex technical concepts and influence cross-functional stakeholders
- Experience with agentic AI coding platforms such as Claude or GitHub Copilot in production engineering
- Familiarity with application health frameworks, static analysis, software composition analysis, or vulnerability and lifecycle management platforms
- Experience defining engineering standards, architectural patterns, or developer experience initiatives
- Exposure to cloud-native development and infrastructure-as-code practices
- Experience coaching or mentoring engineers on secure development, AI-assisted workflows, or technical modernization
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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