Build technology that matters—at scale, with real business impact. At JPMorganChase, you’ll join a team that values strong engineering, thoughtful collaboration, and continuous learning. You’ll work on modern, cloud-native solutions and help shape patterns that improve reliability, security, and speed of delivery. If you enjoy solving complex problems and raising the bar for how teams build and operate software, you’ll thrive here. You’ll also have opportunities to grow your skills and expand your impact across teams and initiatives.
Job Summary:
As a Lead Software Engineer within our wider AI, ML and Data Platform (AMDP) teama, you will enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way.
AMDP builds the platforms, services, and engineering foundations that enable teams to develop, deploy, and operate data and machine learning capabilities at scale. You’ll help create reliable, secure, and developer-friendly tooling that accelerates experimentation and production delivery while improving observability and operational rigor. The team works closely with partner engineering groups to standardize patterns and reduce friction across the end-to-end lifecycle—from data pipelines and feature creation to model serving and platform resiliency.
Job Responsibilities
- Deliver creative software solutions through design, development, and technical troubleshooting, breaking down complex problems into well-structured outcomes.
- Build end-to-end cloud-native, microservices-based applications using current technologies and strong engineering practices.
- Apply domain modeling techniques to structure software for clarity, testability, and long-term evolution.
- Develop secure, high-quality production code and review, debug, and improve code written by others.
- Investigate and resolve issues promptly, ensuring root causes are addressed and problems do not recur.
- Identify opportunities to eliminate or automate remediation of recurring issues to improve operational stability.
- Modernize technologies and engineering patterns to keep systems current, maintainable, and scalable.
- Design resilient architectures that avoid single points of failure and support reliable, scalable performance.
- Lead communities of practice across Software Engineering to drive awareness and adoption of leading-edge technologies.
- 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 in software engineering concepts, or equivalent practical experience in software engineering, including system design, application development, testing, and operational support
- Proficiency in back-end technologies (e.g., Java, Spring Boot, Node.js) and experience building microservices-based applications
- Proficiency in front-end technologies (e.g., HTML, CSS, JavaScript, TypeScript, React, Angular)
- Experience working with cloud platforms (e.g., AWS, Azure, GCP), distributed systems, and web technologies
- Experience building and integrating RESTful APIs and web services, including working with JSON and WebSockets as needed
- Hands-on experience designing and building scalable applications using SQL and NoSQL databases
- Experience using agile development methodologies (e.g., Scrum) and applying software development life cycle practices
- Proficiency in automation and continuous delivery methods, including CI/CD practices
- 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
- Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management
- Strong problem-solving, analytical, and communication skills
- Ability to drive broader impact by sharing and contributing best practices
- Experience in the banking domain
- AWS certification
Skills Required
- Formal training, certification, or equivalent practical experience in software engineering, including system design, application development, testing, and operational support
- Proficiency with back-end technologies such as Java, Spring Boot, or Node.js
- Experience building microservices-based applications
- Proficiency with front-end technologies such as HTML, CSS, JavaScript, TypeScript, React, or Angular
- Experience with cloud platforms such as AWS, Azure, or GCP
- Experience with distributed systems and web technologies
- Experience building and integrating RESTful APIs and web services, including JSON and WebSockets as needed
- Hands-on experience designing scalable applications using SQL and NoSQL databases
- Experience with agile methodologies such as Scrum and software development life cycle practices
- Proficiency in automation and continuous delivery, including CI/CD practices
- Hands-on experience using enterprise-authorized AI-assisted software development tools and validating their outputs
- Understanding of responsible AI use, data sensitivity, secure handling, resiliency, and security expectations
- Strong presentation, negotiation, mentoring, and stakeholder management skills
- Strong problem-solving, analytical, and communication skills
- Experience in the banking domain
- AWS certification
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 coverage and wellness resources, including mental-health support and wellness incentives, are described as comprehensive and accessible; feedback suggests income-based contributions help keep care affordable.
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Retirement Support — A dollar-for-dollar 401(k) match up to 5% of eligible pay, plus additional employer contributions in some cases, is highlighted as a strong pillar of financial security. Feedback suggests this structure is a notable advantage of the total rewards package.
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Parental & Family Support — Up to 16 weeks of paid parental leave for all parents, along with fertility, adoption, surrogacy, childcare, and family-support resources, signals a family-forward approach. Feedback suggests these programs are a standout feature of the package.
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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