Join a dynamic team where your expertise shapes innovative engineering solutions and drives impactful business outcomes. Advance your career by contributing to cutting-edge technology and collaborative growth.
As a Senior Lead Software Engineer at JPMorgan Chase within the Horizontal Engineering team, you will drive technical leadership and deliver reusable cross-product capabilities for Application Integration & Streaming products. You will own architectural direction, influence product design, and serve as a subject matter expert. You will work hands-on with AI-enabled delivery practices, tackle complex engineering challenges, and foster a collaborative team culture.
Job responsibilities
- Develop secure, high-quality production code for reusable capabilities, shared components, services, APIs, SDKs, and engineering patterns.
- Drive decisions influencing product design, application functionality, and technical operations across horizontal engineering.
- Serve as a subject matter expert in areas such as controls engineering, data management, cloud-native architecture, AI-enabled delivery, or engineering standardization.
- Influence peers and project decision-makers to adopt leading-edge technologies, including AI agents and AI-first delivery practices.
- 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.
- Establish disciplined human-plus-AI workflows, including context curation, prompt management, review checkpoints, approval gates, escalation paths, auditability, and output validation.
- Partner with product teams, architecture, and engineering stakeholders to deliver a governed backlog of cross-product work aligned to strategic goals.
- Tackle design and functionality problems independently, providing technical leadership and mentoring to engineers.
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 10+ years applied experience
- Advanced proficiency in Java or Python, with strong experience in system design, application development, testing, deployment, automation, CI/CD, infrastructure-as-code, and modern SDLC practices
- Advanced knowledge of software applications and technical processes with in-depth expertise in one or more technical disciplines (cloud, AI, machine learning, mobile, platform engineering, or controls engineering)
- Ability to tackle design and functionality problems independently with little to no oversight
- Strong understanding of cloud-native engineering, application resiliency, secure coding, observability, controls, production support, risk, and operational requirements in complex enterprise environments
- Practical experience using AI-assisted engineering approaches and defining disciplined human-plus-AI workflows, including validation, review checkpoints, auditability, escalation, and quality controls
- 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/leads on compliant usage patterns and controls.
- Experience with React for building modern, responsive front-end applications
Preferred qualifications, capabilities and skills
- Experience with cross-product engineering, reusable platforms, shared services, or engineering standardization across multiple product lines
- Experience with compliance engineering in regulated financial services, data lake and pipelines, and cloud native architecture
- Experience building AI agents, agent-assisted engineering workflows, automated testing, documentation generation, anomaly detection, or developer productivity tooling
- Practical cloud-native experience across private cloud, AWS, Azure, or GCP environments
Skills Required
- Formal training or certification in software engineering concepts and 10+ years of applied experience
- Advanced proficiency in Java or Python
- Strong experience in system design, application development, testing, deployment, automation, CI/CD, infrastructure-as-code, and modern SDLC practices
- Advanced knowledge of software applications and technical processes, with deep expertise in a technical discipline such as cloud, AI, machine learning, mobile, platform engineering, or controls engineering
- Ability to independently solve design and functionality problems with little to no oversight
- Strong understanding of cloud-native engineering, application resiliency, secure coding, observability, controls, production support, risk, and operational requirements in complex enterprise environments
- Practical experience using AI-assisted engineering approaches and defining disciplined human-plus-AI workflows
- Experience leading enterprise-authorized AI-assisted software development tools for coding, code review, test acceleration, or troubleshooting
- Understanding of responsible AI use in engineering workflows, including data sensitivity, secure input/output handling, resiliency, security, and compliant usage controls
- Experience with React for modern, responsive front-end applications
- Experience with cross-product engineering, reusable platforms, shared services, or engineering standardization across multiple product lines
- Experience with compliance engineering in regulated financial services, data lakes and pipelines, and cloud-native architecture
- Experience building AI agents, agent-assisted engineering workflows, automated testing, documentation generation, anomaly detection, or developer productivity tooling
- Practical cloud-native experience across private cloud, AWS, Azure, or GCP environments
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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