Job Description Job summary
As a Senior Lead Software Engineer - Data Management at JPMorgan Chase within the Commercial and Investment Bank, you will design, code, test, and deliver software and data solutions that support modernization, automation, and enterprise data strategy for customers, clients, and/or employees. You will lead data architecture, advanced analytics, and AI/ML model integration; provide technical leadership; participate in design reviews across application, platform, and data teams; and collaborate with global technical and business leaders to build software and data platforms for reliability, speed, and scale using modern technology and methodologies.
Job responsibilities
- Lead end-to-end delivery of software features and data solutions from requirements through production release, ensuring quality and reliability.
- Architect, build, and deploy high-performance microservices and full-stack applications using Java, ReactJS, Python, and REST APIs to enable seamless data access and integration across systems.
- Build and maintain cloud-native services deployed on AWS (ECS, Kubernetes) using Docker and Terraform.
- Design, build, and deploy AI and ML algorithms to answer critical business domain questions and deliver actionable insights.
- Lead the design and production of KPIs, metrics, and analytical reporting to empower globally distributed teams to make data-backed strategic decisions.
- Partner with functional leads, business stakeholders, and technology consumers to document and execute data target architectures, framework guidelines, and long-term technical roadmaps.
- Improve system reliability and performance through monitoring, troubleshooting, observability, and continuous optimization (SRE practices).
- Automate repetitive processes and modernize existing code paths through CI/CD pipelines to reduce operational toil and risk.
- Leverage AI/ML developer tooling (e.g., GitHub Copilot, LLMs, Claude) to accelerate development and improve engineering productivity.
- Drives adoption and governance of approved AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test acceleration, release readiness, incident/root-cause analysis), while establishing measurable validation standards (secure coding, peer review, automated testing) and promoting reuse of proven patterns and automation within the SDLC/TLM toolchain.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including approved AI-assisted development and automation capabilities, to improve the value realized by automation at scale.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience .
- Strong hands-on experience with Java and Spring/Spring Boot, including building and consuming REST APIs.
- Proficiency in ReactJS , Python and one or more additional languages such as Go or TypeScript.
- Proficiency in data modeling, pipeline architecture, and enterprise storage.
- Hands-on expertise developing and deploying AI/ML models to solve domain challenges.
- Experience building and operating microservices and event-driven architectures.
- Hands-on experience with cloud and container technologies: AWS, ECS, Kubernetes, and Docker.
- Experience with CI/CD and infrastructure-as-code (Terraform).
- Advanced capability in defining KPIs, building visualizations, and communicating data insights to senior stakeholders.
- Demonstrated experience leading effective use of enterprise-authorized AI-assisted software development tools within the work environment (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 senior engineers/leads on compliant usage patterns and controls.
Preferred qualifications, capabilities, and skills
- Experience with front-end and full-stack development using React and Node.js.
- Familiarity with AI/ML developer tooling (e.g., GitHub Copilot, LLMs, Claude) to enhance engineering workflows.
- Experience modernizing legacy systems and driving engineering standardization (patterns, tooling, and automation).
- Experience delivering enterprise business intelligence and analytical reporting to senior, globally distributed stakeholders.
About Us 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
About the Team J.P. Morgan's Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.
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