Join a dynamic team driving innovation in AI-first engineering. Unlock your potential and shape the future of application integration and streaming.
As a Lead Software Engineer at JPMorgan Chase within the Horizontal Engineering team, you will deliver AI-first horizontal engineering capabilities for the AIS product line. You will design, build, and ship reusable components, automation, and cross-product accelerators to improve operational stability and engineering consistency. You will leverage AI agents across multiple engineering workflows, always maintaining accountability for quality and outcomes. You will play a key role in shaping technical solutions and driving standardization across AIS products.
Job responsibilities
- Design and deliver secure, high-quality production code for reusable AIS-wide capabilities, including shared components, automation, APIs, SDKs, infrastructure-as-code, and cross-product engineering patterns.
- Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems.
- Lead AI-first engineering delivery by using AI agents across analysis, code generation, testing, documentation, controls evidence, configuration management, reusable component development, and operational diagnostics.
- Establish disciplined human-plus-AI workflows, including context curation, prompt and skills management, review checkpoints, approval gates, escalation paths, auditability, and output validation.
- Drive standardization across AIS products by reducing duplicated engineering work, creating reusable libraries and modules, improving observability, and automating recurring operational or engineering issues.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
- Provide senior engineering judgment through design challenge, code review, debugging, quality oversight, mentoring, and coaching of engineers working in an AI-enabled delivery model.
- Partner with AIS product teams, architecture, and engineering stakeholders to shape and deliver a governed backlog of cross-product work aligned to the AIS strategic Book of Work.
- Lead communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies, AI-first delivery, and engineering standardization.
- 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.
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Advanced proficiency in Java/Python, with strong experience across system design, application development, testing, deployment, automation, CI/CD, infrastructure-as-code, and modern SDLC practices.
- Proficiency in automation and continuous delivery methods.
- Proficient in all aspects of the Software Development Life Cycle.
- Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
- Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, platform engineering, or controls engineering).
- 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
- Experience with React for building modern, responsive front-end applications
- Practical cloud-native experience.
Preferred qualifications, capabilities and skills
- Experience with cross-product engineering, horizontal capabilities, reusable platforms, shared services, or engineering standardization across multiple product lines.
- Experience with data lakes, chaos engineering, cloud native development or compliance engineering in regulated financial services.
- Experience building AI agents, agent-assisted engineering workflows, automated testing, documentation generation, anomaly detection, or developer productivity tooling.
- Experience with multi-cloud or cloud-portable platform patterns across private cloud, AWS, Azure, or GCP.
Skills Required
- Formal training or certification in software engineering concepts
- 5+ years of applied software engineering experience
- Advanced proficiency in Java and Python
- Experience with system design, application development, testing, deployment, automation, CI/CD, infrastructure-as-code, and modern SDLC practices
- Proficiency in automation and continuous delivery methods
- Proficiency across the Software Development Life Cycle
- Advanced understanding of agile methodologies, application resiliency, and security
- Experience in a technical discipline such as cloud, artificial intelligence, machine learning, mobile, platform engineering, or controls engineering
- Experience leading approved 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 expectations
- Experience with React for modern responsive front-end applications
- Practical cloud-native experience
- Experience with cross-product engineering, reusable platforms, shared services, or engineering standardization
- Experience with data lakes, chaos engineering, cloud-native development, or compliance engineering in regulated financial services
- Experience building AI agents, agent-assisted workflows, automated testing, documentation generation, anomaly detection, or developer productivity tools
- Experience with multi-cloud or cloud-portable platform patterns across private cloud, AWS, Azure, or GCP
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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