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Develop, test, maintain, and troubleshoot enterprise-scale software across the full development lifecycle. Collaborate with product, architecture, and operations teams to deliver scalable solutions. Participate in Agile ceremonies, code reviews, production support, CI/CD implementation, security practices, resiliency improvements, and platform modernization using cloud, AI/ML, and containerization technologies.
You’re ready to gain the skills and experience needed to grow within your role and advance your career — and we have the perfect software engineering opportunity for you.
As a Software Engineer II at JPMorganChase within the Payments Technology, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
As a Software Engineer II at JPMorganChase within the Payments Technology, you are part of an agile team that works to enhance, design, and deliver the software components of the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities
- Develop, test, and maintain high-quality software solutions that meet business and technical requirements across the full software development lifecycle
- Write clean, efficient, and well-documented code in one or more modern programming languages, ensuring adherence to engineering standards and best practices
- Participate in design and code reviews, providing and incorporating constructive feedback to continuously improve code quality and team practices
- Contribute to the reliability and stability of production systems by identifying, debugging, and resolving technical issues in a timely manner
- Collaborate with cross-functional teams — including product, architecture, and operations — to translate business requirements into scalable technical solutions
- Apply Agile methodologies and contribute to sprint planning, stand-ups, and retrospectives to support continuous delivery and iterative improvement
- Leverage enterprise-authorized AI-assisted development tools responsibly to accelerate coding, testing, and documentation workflows while critically evaluating AI-generated outputs
- Support the implementation of CI/CD pipelines, security practices, and application resiliency standards to ensure robust and secure software delivery
- Engage with modern technical domains such as cloud, AI/ML, and containerization to broaden technical capabilities and contribute to platform modernization efforts
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 2+ years applied experience
- 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/outputs, and adherence to resiliency and security expectations
- Hands-on experience across system design, application development, testing, and production/operational stability
- Strong coding skills in one or more modern programming languages
- Proven ability to develop, debug, and maintain enterprise-scale code, including database querying, with a solid understanding of the Software Development Life Cycle and end-to-end delivery
- Practical experience with Agile ways of working, including CI/CD, application resiliency, and security practices, with exposure to modern technical domains such as cloud, AI/ML, and/or mobile and their supporting technical processes
- Pragmatic mindset to drive technical re-engineering and modernization while continuing to support business delivery
Preferred qualifications, capabilities, and skills
- Proficiency in at least one programming language (such as Java or Python) for automation and process improvement
- Strong analytical and problem-solving abilities, with experience resolving complex technical issues
- Experience with monitoring and alerting tools, and a solid understanding of metrics and system health indicators
- Understanding of reliability engineering principles, including automation and incident management
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
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
JPMorganChase San Francisco, California, USA Office
San Francisco, CA, United States
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
