Job responsibilities - Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Develops secure high-quality production code, and reviews and debugs code written by others
- 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.
- Lead end-to-end delivery of full-stack features spanning ReactJS UI, Java/Python backend services, SQL persistence, and Kafka event streaming.
- Drive spec-driven development by authoring, reviewing, and maintaining executable/validated specifications (APIs, events, data contracts) as the source of truth; ensure implementation and tests remain aligned to the spec.
- Use AI-assisted development frameworks (e.g., OpenSpec, Spec-Kit, or similar) to accelerate requirements-to-spec, spec-to-implementation, and spec-to-test workflows while maintaining engineering rigor.
- Design and implement scalable, resilient REST APIs, including clear interface contracts and backward compatibility strategies. Design and implement AWS-based components leveraging S3 and AWS Lambda where appropriate.
- Build and operate containerized services using Docker and Kubernetes (deployments, services/ingress, configuration/secrets, health checks, autoscaling). Implement event-driven workflows using Kafka (topic strategy, consumer groups, retry/DLQ patterns, schema evolution).
- Provision and manage environments using Terraform (repeatable infrastructure, safe change management). Build LLM-based implementations (e.g., RAG, tool/function calling) with appropriate evaluation, monitoring, and controls.
- Establish SDLC standards: design reviews, code reviews, automated testing, CI/CD, documentation, and operational readiness. Mentor and coach engineers; provide technical direction and promote continuous improvement.
Required qualifications, capabilities, and skills - Formal training or certification on software engineering concepts and 5+ years applied experience
- Hands-on practical experience delivering system design, application development, testing, and operational stability
- 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
- Strong backend development experience with Python (e.g., FastAPI/Flask), including API and service development.
- Strong frontend development experience with ReactJS (modern React patterns, TypeScript/JavaScript).
- Hands-on experience with Docker and Kubernetes running production workloads. Experience with Kafka (producer/consumer patterns, error handling, schema evolution).
- Strong SQL skills and relational data modeling experience; query optimization and indexing.
- Hands-on AWS experience including S3 and AWS Lambda; cloud security fundamentals (e.g., IAM-based access patterns). Experience using Terraform for infrastructure-as-code.
- Spec-driven development experience, including: Defining and maintaining machine-readable specs (e.g., OpenAPI for REST and/or AsyncAPI for event interfaces); Driving implementation and automated tests from specs (contract testing, validation, backward compatibility checks); Using AI-assisted spec-to-code / spec-to-test tooling (e.g., OpenSpec, Spec-Kit, or similar).
- LLM application experience in production (prompt/versioning practices, grounding/RAG concepts, evaluation/monitoring basics, secure data handling).
Preferred qualifications, capabilities, and skills - Experience working with relational databases such as DB2 or PostgreSQL.
- 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.
- Financial services knowledge, with an understanding of the commercial lending space.
- Experience working in regulated environments requiring strong risk management, controls, and auditability.
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