Full Stack Lead Software Engineer
Confirmed on the employer's own hiring board on Nov 10, 2026. First seen by Alion on Oct 23, 2026. J.P. Morgan Workplace Solutions scores A on the Alion truth index.
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, 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
- Full-Stack Feature Delivery: Architect, build, and deploy high-performance web applications using React for the front end and Java for the back end.
- AI & LLM Integration: Integrate third-party AI models (e.g., OpenAI, Anthropic) or internal ML pipelines, implementing features like Retrieval-Augmented Generation (RAG), vector databases, and automated workflows.
- API & Microservices Architecture: Design, build, and maintain secure, scalable RESTful or GraphQL APIs and microservices in Java.
- Front-End Engineering: Develop modular, reusable React components, managing global application state (e.g., Redux, Context API) and ensuring smooth visual rendering.
- Database & Knowledge Base Management: Work with relational databases (e.g., PostgreSQL, MySQL) alongside vector databases (e.g., Pinecone, Milvus, pgvector) optimized for AI search applications.
- CI/CD & Cloud Deployment: Build and maintain automated pipelines to deploy full-stack applications to on-prem and cloud infrastructure.
Develops secure high-quality production code, and reviews and debugs code written by others. Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies. Adds 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 solutions that avoid single points of failure using scalable architectural patterns.
Design and build scalable, secure, and reliable solutions by leveraging modern architectural patterns that ensure zero-downtime releases and optimize data performance.
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.
- Front-End Mastery: Extensive experience with React.js, TypeScript/JavaScript, HTML5, CSS3, and modern frontend build tools.
- Back-End Expertise: Robust background in Java, including framework proficiency with Spring Boot, Spring Security, and Hibernate.
- AI & Engineering Acumen: Proven experience connecting applications to AI APIs, prompt engineering, fine-tuning, or working with orchestration frameworks.
- Data Systems: Experience designing schemas for both traditional relational SQL/NoSQL databases and vector search indexing.
- Soft Skills & Collaboration: Agile/Scrum team experience, Git version control expertise, and a passion for staying on the cutting edge of AI advancements.
Understanding of application resiliency. Proficiency in automation and continuous delivery methods.
Proficient in all aspects of the Software Development Life Cycle. Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security.
Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
Preferred qualifications, capabilities, and skills
Strong soft skills, including presentation, negotiation, mentoring, and stakeholder management.
Strong problem-solving, analytical, and communication skills.
Ability to drive broader impact by sharing and contributing best practices.
Experience in the banking domain.