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Lead Software Engineer - Java/ Python Fullstack
lead · Technology / Software Development
Join a high-performing agile team where your expertise shapes modern, user-centric software products. Unlock career growth by leveraging advanced AI, Java, and Python full-stack development skills.
Job summary
As a Lead Software Engineer at JPMorgan Chase within the Employee Platforms Team, you design, build, and maintain end-to-end applications, including backend services, APIs, and UI, while embedding AI capabilities using strong prompt engineering practices. You apply deep expertise in software engineering, application architecture, and secure development, continuously expanding your knowledge across the product and AI landscape. You collaborate with cross-functional teams to deliver impactful solutions and foster a culture of innovation.
Job responsibilities
Design, develop, test, and deliver Java- or Python-based backend services and full-stack web applications for business-critical platforms
Develop responsive and accessible frontend experiences (e.g., React/Angular) and integrate them with backend APIs, with experience in Kafka or other messaging tools
Own a workstream or project across the full SDLC, including requirements, design, implementation, code review, and production support
Build and maintain REST/GraphQL APIs, integrate with internal services, and ensure reliability, performance, and observability at the application level
Design and develop next generation applications on Public Cloud infrastructure
Implement secure coding practices, data handling controls, and automated testing (unit, integration, end-to-end)
Partner with product, UX, data, and QA teams to deliver high-quality outcomes and drive continuous improvement
Drive team adoption of enterprise-authorized AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes, while establishing consistent validation standards and promoting reuse of effective patterns
Apply 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
Consider upstream/downstream data and system implications within the application domain and propose mitigations
Required qualifications, capabilities and skills
Formal training or certification on software engineering concepts and 10+ years applied experience in software development
Strong proficiency in Java (e.g., Java 21+) or Python, Django, Flask, Spring/Spring Boot, building APIs, and service-oriented/microservice architectures
Strong full-stack experience with modern JavaScript/TypeScript and a framework such as React or Angular
Experience with databases (SQL and/or NoSQL), data modeling, and query optimization from an application perspective
Experience with CI/CD usage, code quality practices, automated testing, and production support within application teams
Solid understanding of application security (OAuth/OIDC, secure API design, secrets handling, OWASP)
Prompt engineering skill: prompt patterns, structured prompting, tool/function calling concepts, output validation, and iterative refinement
Strong communication and stakeholder management skills, with ability to influence across technical and business teams
Demonstrated experience leading effective use of approved AI-assisted software development tools 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 building AI-enabled products (RAG patterns, embeddings, vector stores, evaluation harnesses)
Experience with event-driven systems (Kafka or similar) and distributed system design
Familiarity with containers and orchestration concepts (developer-level usage)
Experience mentoring engineers, leading design reviews, and setting coding standards