Join a team pioneering AI-first engineering to accelerate delivery and career growth. Leverage advanced tools and collaborate with experts to shape the future of application integration.
As a Software Engineer III at JPMorgan Chase within the Horizontal Engineering team, you will help build innovative, reusable engineering solutions for the AIS product line. You will work closely with senior engineers and AI agents to accelerate learning, delivery, and documentation. You will contribute to shared services, automation, and cross-product accelerators that improve delivery velocity and consistency. You will be part of a collaborative, inclusive team focused on advancing engineering practices and supporting career development.
Job responsibilities
- Design, develop, test, debug, and maintain secure, high-quality production code for reusable capabilities, automation, documentation, and cross-product components.
- Execute software solutions, design, development, and technical troubleshooting to build solutions and break down technical problems.
- Build shared modules, APIs, and engineering patterns for adoption across AIS products.
- Collaborate with senior engineers through pairing, shadowing, and guided AI-agent workflows to accelerate learning and improve delivery quality.
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- 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.
- Create and maintain clear documentation, implementation notes, runbooks, and knowledge artifacts to support onboarding and repeatability.
- Analyze code, data, and delivery metrics to identify problems, improve coding hygiene, and strengthen system architecture.
- Produce architecture and design artifacts for complex applications, ensuring design constraints are met.
- Apply disciplined engineering practices including secure coding, CI/CD, automated testing, observability, resiliency, controls awareness, and timely escalation.
- Contribute to software engineering communities of practice focused on AI-first engineering, cloud-native delivery, controls automation, platform engineering, and developer productivity.
Required qualifications, capabilities and skills
- Formal training or certification on software engineering concepts and 3+ years applied experience
- Proficiency in Java and Python for application development and maintenance in a corporate or enterprise environment
- Working knowledge of the Software Development Life Cycle, agile delivery, CI/CD, secure coding, testing, resiliency, and production support practices
- Experience with React for building modern, responsive front-end applications
- Demonstrated knowledge of technical processes in areas such as cloud, AI, machine learning, platform engineering, controls engineering, automation, or infrastructure software
- Strong analytical ability, learning agility, collaboration skills, and ability to use AI-assisted development tools responsibly with appropriate validation, documentation, peer review, and escalation
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
Preferred qualifications, capabilities and skills
- Experience with APIs, infrastructure-as-code, CI/CD, observability, monitoring, or reusable platform components
- Exposure to cloud technologies across private cloud, AWS, Azure, or GCP
- Experience with controls automation, evidence generation, delivery analytics, or compliance tooling
- Strong interest in AI-first engineering practices, including generative AI, AI agents, automated testing, documentation generation, anomaly detection, or developer productivity tools
Skills Required
- Formal training or certification in software engineering concepts
- At least 3 years of applied software engineering experience
- Proficiency in Java for enterprise application development and maintenance
- Proficiency in Python for enterprise application development and maintenance
- Working knowledge of the software development lifecycle, agile delivery, CI/CD, secure coding, testing, resiliency, and production support
- Experience building modern, responsive front-end applications with React
- Knowledge of technical processes involving cloud, AI, machine learning, platform engineering, controls engineering, automation, or infrastructure software
- Strong analytical, learning agility, collaboration, and responsible AI-assisted development skills
- Hands-on experience using enterprise-authorized AI-assisted software development tools
- Ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security
- Understanding of responsible AI use, data sensitivity, secure input and output handling, resiliency, and security expectations
- Experience with APIs, infrastructure as code, CI/CD, observability, monitoring, or reusable platform components
- Exposure to private cloud, AWS, Azure, or GCP technologies
- Experience with controls automation, evidence generation, delivery analytics, or compliance tooling
- Interest in AI-first engineering practices, generative AI, AI agents, automated testing, documentation generation, anomaly detection, or developer productivity tools
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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