Develops, troubleshoots, and maintains secure, scalable software within an agile engineering team. Writes code, interprets architecture, applies automation, validates AI-assisted development outputs, analyzes technical data, and improves SDLC processes while following security, resiliency, and data-handling standards.
Kick-start your software engineering career as an entry-level Software Engineer I. Be part of a team that is pushing the boundaries of what's possible.
As a Software Engineer I at JPMorganChase within Asset & Wealth Management, you are part of an agile team that works to enhance, design, and deliver the software components to the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an entry-level member of a software engineering team, you execute basic software solutions through the design, development, and troubleshooting of a single technical area within a business function, while gaining skills and experience to grow within your role.
Job responsibilities
As a Software Engineer I at JPMorganChase within Asset & Wealth Management, you are part of an agile team that works to enhance, design, and deliver the software components to the firm’s state-of-the-art technology products in a secure, stable, and scalable way. As an entry-level member of a software engineering team, you execute basic software solutions through the design, development, and troubleshooting of a single technical area within a business function, while gaining skills and experience to grow within your role.
Job responsibilities
- Executes basic software solution design, development, and technical troubleshooting, breaking down routine technical tasks to troubleshoot and solve issues
- Uses enterprise-authorized AI capabilities within the work environment to accelerate design comprehension and coding support (e.g., drafting unit tests and documentation), validating outputs and handling data according to sensitivity and security requirements.
- Writes secure and high-quality code using the syntax of at least one programming language with peer guidance
- Interprets architecture and design representations as well as nonfunctional requirements to develop secure, stable software against a defined architecture
- 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
- Actively applies automation to reduce manual toil in the Software Development Life Cycle and addresses basic code quality issues
- Gathers, analyzes, and synthesizes basic data sets in service of technical troubleshooting and generating insights to drive continuous improvements
- Applies reuse-first, AI-assisted practices within SDLC/toolchain automation to reduce manual toil while maintaining security, resiliency, and traceability/auditability expectations.
Required qualifications, capabilities, and skills
- Baseline knowledge of software, applications and technical processes within a given technical discipline
- Working knowledge of using enterprise-authorized AI capabilities within the work environment to support software engineering workflows with strong validation habits and awareness of data sensitivity.
- Ability to review and validate AI-assisted code and technical recommendations before use, escalating when uncertain and following security and data handling requirements.
- Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security
- Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
- Ability to work in large, collaborative teams to achieve organizational goals, with a passion to build an inclusive and innovative culture
- Demonstrated ability to code in one or more languages
- Understanding of software skills such as business analysis, development, maintenance, and software improvement
- Proficiency in developmental toolsets
Preferred qualifications, capabilities, and skills
- Exposure to cloud technologies
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
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
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- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
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- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
