Join a collaborative technology team where your ideas help shape the tools and platforms that support employees across JPMorganChase. As part of our Employee Platform Technology team, you'll be at the forefront of building trusted, scalable, and secure technology that empowers employees across the firm. You'll collaborate with talented engineers, leverage cutting-edge AI tooling, and contribute to cloud-native solutions that make a real difference. Join a team that values diversity, inclusion, and continuous learning — where your ideas are heard and your growth is supported.
As a Software Engineer III at JPMorganChase within the Employee Platform Technology team, you will design and deliver high-quality software solutions that support the firm's internal employee experience. You will work in an agile environment, contributing to the development of innovative features, AI-powered tools, and cloud platform integrations. Your work will directly impact the reliability, scalability, and performance of systems used by employees across the organization. This is an opportunity to grow your technical expertise while collaborating with a team committed to excellence and inclusion.
Job responsibilities
- Execute end-to-end software solutions including design, development, and technical troubleshooting across the full software development lifecycle
- Produce secure, high-quality production code and maintain algorithms that operate synchronously with relevant systems
- Contribute to architecture and design artifacts for applications, ensuring that software code development meets established design constraints
- Gather, analyze, and synthesize large, diverse data sets to develop visualizations and reporting that drive continuous improvement of software applications
- Design and implement AI-powered features and agentic workflows that enhance employee-facing platforms
- Develop and optimize cloud-native integrations on AWS to support scalable and resilient platform capabilities
- Leverage 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
- Apply 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 proficient applied experience
- Hands-on experience with Python and AI coding assistants in a professional development environment
- Working knowledge of AI agents and agentic flows, including design and implementation patterns
- Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages
- Familiarity with agile methodologies, including continuous integration and delivery, application resiliency, and security principles
- Practical cloud-native experience with AWS, including deployment and integration of cloud-based services
- 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
- Familiarity with modern front-end technologies and frameworks
- Experience working with relational or non-relational databases in a production environment
- Proficiency with Java or Kotlin and Spring Boot for back-end service development
- Exposure to AI/ML tooling or platforms in an enterprise setting
Skills Required
- Formal training or certification on software engineering concepts and proficient applied experience
- Hands-on experience with Python and AI coding assistants in a professional development environment
- Working knowledge of AI agents and agentic flows, including design and implementation patterns
- Experience developing, debugging, and maintaining code in a large-scale environment using one or more modern programming languages and database querying languages
- Familiarity with agile methodologies, continuous integration and delivery, application resiliency, and security principles
- Practical cloud-native experience with AWS, including deployment and integration of cloud-based services
- Hands-on experience using enterprise-authorized AI-assisted software development tools with ability to validate and refine AI-generated outputs
- Understanding of responsible AI use, data sensitivity, secure handling of inputs/outputs, and resiliency/security expectations
- Familiarity with modern front-end technologies and frameworks
- Experience working with relational or non-relational databases in a production environment
- Proficiency with Java or Kotlin and Spring Boot for back-end service development
- Exposure to AI/ML tooling or platforms in an enterprise setting
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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