Lead full-stack and AI-enabled software engineering for a treasury data platform. Build React/TypeScript UIs and Python backends, deliver ETL/data pipelines on Databricks/Snowflake, and establish governed LLM/agentic development practices to ensure reliability, reproducibility, and secure AI-assisted engineering across the team.
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 - Python, Full Stack / AI at JPMorgan Chase in Commercial and Investment Bank's Treasury Technology you will lead the build out of an end-to-end data platform to manage Capital, Liquidity, Balance sheet, Funding and billing (Transfer pricing). You will develop and enhance applications critical to the business, working closely with Treasury, Finance, Trading, Sales, and Quantitative Research teams. Your expertise in Python and agentic development will drive automation and innovation. You will contribute to a global platform, ensuring stability and delivering high-quality solutions. This role offers the chance to make a meaningful impact in a fast-paced, collaborative environment.
As a Lead Software Engineer - Python, Full Stack / AI at JPMorgan Chase in Commercial and Investment Bank's Treasury Technology you will lead the build out of an end-to-end data platform to manage Capital, Liquidity, Balance sheet, Funding and billing (Transfer pricing). You will develop and enhance applications critical to the business, working closely with Treasury, Finance, Trading, Sales, and Quantitative Research teams. Your expertise in Python and agentic development will drive automation and innovation. You will contribute to a global platform, ensuring stability and delivering high-quality solutions. This role offers the chance to make a meaningful impact in a fast-paced, collaborative environment.
Job Responsibilities
- Full Stack development of UI Dashboard in React/Typescript and servers in the python stack.
- Deliver data pipelines and ETL on data platforms such as Databricks and Snowflake
- Executes software solutions, design, development, and technical troubleshooting
- This role ensures that large language models (LLMs)—including models such as Claude, ChatGPT, and comparable enterprise-approved models—are used as controlled, well-understood components of the software engineering lifecycle.
- Lead the use of LLMs for structured requirements analysis, including translating business and regulatory requirements into clear technical specifications.
- Establish best practices for prompt-driven design and development, treating prompts as versioned, reviewable engineering artifacts.
- Ensure prompt strategies support determinism, reproducibility, and traceability in regulated environments.
- Ensure LLM-driven systems meet enterprise reliability and resilience expectations.
- The role supervises how LLM-assisted and agent-driven development is performed, ensuring that model strengths, limitations, and risk profiles are understood, documented, and appropriately applied across different classes of software work
- 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 applied experience
- Strong Python skills and familiarity with agentic development (ADLC)
- Demonstrated Engineering leadership, architecture and stakeholder management skills
- Database design and modeling on modern data platforms (Databricks, snowflake)
- Hands on experience in co-pilot or Claude-code to design and deliver end-to-end applications.
- Working understanding of multi public cloud; exposure to AWS Cloud.
- Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages
- Experience in Risk and Pnl in Markets
- Understanding of agile methodologies 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
- Experience in Risk and Pnl in Markets
- Knowledge of Financial Markets and Products (Fixed Income, Derivatives) and Treasury concepts
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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