Lead Software Engineer - Quant Developer

Aumni; Jersey City (NJ); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

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

Job summary

JPMorgan Chase & Co. is seeking a Lead Software Engineer for the Asset and Wealth Management team in Jersey City, NJ. You will contribute to an agile team delivering trusted, scalable technology products, including AI-enabled capabilities and secure, reliable software solutions.

You will design, develop, and operate cloud-native, microservices-based applications, driving best practices in secure coding, testing, and deployment while mentoring teammates and promoting a culture of inclusion.

Qualifications

• Formal training or certification in software engineering concepts and 5+ years of hands-on experience in software engineering, including system design, application development, testing, and operational support.
• Strong proficiency in back-end development with Python and Java, with experience building microservices-based applications and APIs (e.g., RESTful services, JSON).
• Experienced with distributed systems and web technologies (RESTful APIs, WebSockets).
• Experience with agile development methodologies (e.g., Scrum) and software development life cycle.

Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting—thinking beyond routine or conventional approaches to build solutions or break down technical problems.
• Deliver end-to-end solutions in cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.
• Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.
• Develop secure, high-quality production code; review and debug code written by others.
• Identify opportunities to automate remediation of recurring issues to improve operational stability of software applications and systems.
• Lead communities of practice across Software Engineering to drive awareness and adoption of new and leading-edge technologies (including AI-enabled software delivery approaches).
• Add to team culture of diversity, opportunity, inclusion, and respect.
• Promptly investigate and resolve issues, ensuring they do not resurface.
• Continuously update technologies and patterns to keep systems current.
• Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that enable zero-downtime releases and optimize data performance.
• Engineer and operationalize AI-enabled capabilities to improve developer productivity and/or product functionality.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing validation standards and promoting reuse of patterns across the team.
• Applies knowledge of SDLC tools, including AI-assisted development and automation capabilities, to improve automation value.

Skills

Python

Java

AWS

Microservices

RESTful APIs

SQL/NoSQL

CI/CD

Secure development

AI-assisted development

Distributed systems

Education

Formal training or certification in software engineering

Tools

Docker

Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.

As a Lead Software Engineer at JPMorganChase's Asset and Wealth Management team , you are an integral part of an agile team that works to enhance, build, and deliver trusted, market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for delivering critical technology solutions across multiple technical areas within various business functions in support of the firm’s business objectives.

Job Responsibilities

• Execute creative software solutions, design, development, and technical troubleshooting—thinking beyond routine or conventional approaches to build solutions or break down technical problems.
• Deliver end-to-end solutions in the form of cloud-native, microservices-based applications, leveraging the latest technologies and best industry practices.
• Use domain modeling techniques to build best-in-class business products, structuring software for clarity, testability, and evolution.
• Develop secure, high-quality production code; review and debug code written by others.
• Identify opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
• Lead communities of practice across Software Engineering to drive awareness and adoption of new and leading-edge technologies (including AI-enabled software delivery approaches).
• Add to team culture of diversity, opportunity, inclusion, and respect.
• Promptly investigate and resolve issues, ensuring they do not resurface.
• Continuously update technologies and patterns to keep systems current.
• Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that enable zero-downtime releases and optimize data performance.
• Engineer and operationalize AI-enabled capabilities (e.g., agentic workflows, tool use, orchestration, evaluation/guardrails) to improve developer productivity and/or product functionality.
• 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 on software engineering concepts and 5+ years of hands‑on experience in software engineering, including system design, application development, testing, and operational support.
• Strong proficiency in back-end development with Python and Java, with experience building microservices-based applications and APIs (e.g., RESTful services, JSON).
• Strong experience building on AWS (or comparable cloud), including designing, deploying, and operating distributed, cloud-native systems.
• Experience with distributed systems and web technologies (e.g., RESTful APIs and web services, WebSockets).
• Hands-on experience designing and building scalable applications using SQL and NoSQL databases.
• Experience with agile development methodologies (e.g., Scrum) and an understanding of the software development life cycle.
• Understanding of application resiliency and designing for reliability/availability.
• Proficient in all aspects of the Software Development Life Cycle, including secure development practices.
• Advanced understanding of agile engineering practices such as CI/CD, Application Resiliency, and Security.
• 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

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies

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.

• 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

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

J.P. Morgan Asset & Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals. Carry out critical tech solutions across multiple technical areas as an integral part of an agile team