Join one of the world's most innovative financial technology teams and make your mark on the systems that keep global commerce moving. At JPMorganChase, we invest in our engineers — giving you access to cutting-edge tools, AI capabilities, collaborative teams, and the scale to solve problems that truly matter.
As a Software Engineer II at JPMorganChase within the Cloud Payment Common Core Services Group, you will design and build the distributed, cloud-native infrastructure that underpins critical payment processing systems. You will work alongside talented engineers to deliver high-availability, AI-enhanced solutions that serve millions of customers, contributing to a team culture that values innovation, ownership, and continuous learning.
Our Cloud Payment Common Core Services Group is responsible for the foundational services that enable seamless, secure, and scalable payment experiences across the firm. You will be part of a team that thrives on solving complex engineering challenges in a fast-paced, collaborative environment — including the integration of artificial intelligence to drive smarter, faster payment experiences.
Key Responsibilities
- Execute standard software solution design, development, and technical troubleshooting across cloud-native payment services built on AWS, Java, and Kotlin
- Write secure, high-quality code using modern programming languages, including Java and Kotlin, with containerized deployments via Docker and Kubernetes (EKS)
- Leverage enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and productivity — including code generation, refactoring, unit test creation, and documentation — while validating outputs through peer review, automated testing, and secure coding standards
- Design, develop, and troubleshoot with consideration of upstream and downstream systems, including event-driven architectures powered by Kafka and NoSQL data storage using MongoDB
- Apply knowledge of the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities such as Jenkins and Terraform, to improve the value realized through automation
- Apply technical troubleshooting to break down solutions and resolve technical problems of moderate complexity across distributed payment systems
- Gather, analyze, and draw conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development
- Integrate AI and machine learning models into payment services to enable intelligent automation, anomaly detection, and predictive capabilities in collaboration with data science and AI engineering teams
- Learn and apply system processes, methodologies, and skills for the development of secure, stable code and systems within an agile, cross-functional environment
Required Qualifications, Capabilities, and Skills
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Formal training or certification on software engineering concepts and 2+ years applied experience
- Hands-on practical experience in system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code in a large corporate environment using one or more modern programming languages — including Java or Kotlin — and database querying languages, with working knowledge of MongoDB
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, testing, troubleshooting, or documentation), with demonstrated ability to critically evaluate and validate AI-generated outputs
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs and outputs, and adherence to resiliency and security expectations
- Experience across the full Software Development Life Cycle, including design, development, testing, deployment, and operational support
- Exposure to agile methodologies and practices such as CI/CD, application resiliency, and security
- Experience with containerization technologies including Docker and Kubernetes (EKS) on AWS
- Familiarity with infrastructure-as-code tooling, specifically Terraform, and event-driven messaging systems such as Kafka
Preferred Qualifications, Capabilities, and Skills
- Experience with Kotlin for backend service development and CI/CD pipeline tooling, particularly Jenkins
- Hands-on experience integrating AI or machine learning APIs, frameworks, or models — such as large language models or predictive analytics — into production applications
- Familiarity with AI and machine learning platforms or tools on AWS (e.g., SageMaker) for model deployment and monitoring
- Experience in payments, financial services, or other high-availability, high-throughput domains
- Understanding of cloud security best practices and payment compliance standards
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Formal training or certification in software engineering concepts
- 2+ years of applied software engineering experience
- Experience with system design, application development, testing, and operational stability
- Experience developing, debugging, and maintaining code in a large corporate environment using Java or Kotlin
- Experience with database querying languages and working knowledge of MongoDB
- Hands-on experience using enterprise-authorized AI-assisted software development tools
- Ability to critically evaluate and validate AI-generated outputs
- Understanding of responsible AI use, data sensitivity, secure handling, resiliency, and security expectations
- Experience across the full Software Development Life Cycle
- Exposure to agile methodologies, CI/CD, application resiliency, and security
- Experience with Docker and Kubernetes on AWS EKS
- Familiarity with Terraform
- Familiarity with Kafka or event-driven messaging systems
- Experience with Kotlin for backend service development and Jenkins
- Experience integrating AI or machine learning APIs, frameworks, or models into production applications
- Familiarity with AWS AI and machine learning platforms such as SageMaker
- Experience in payments, financial services, or other high-availability, high-throughput domains
- Understanding of cloud security best practices and payment compliance standards
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 — Health coverage is considered comprehensive, including medical, dental, and vision, alongside wellness and mental health resources. Some locations add onsite health centers and related wellbeing support.
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Retirement Support — Retirement offerings include a 401(k)-type savings plan and related financial benefits, with options such as employee stock purchase participation. Financial planning resources are also highlighted to support long-term savings.
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Parental & Family Support — Paid parental leave of 16 weeks for birth or adoption is available for all parents. Child care and back-up child care resources further reinforce family support.
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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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