Lead Software Engineer - AI/Java Full Stack at JPMC Candidate Experience page

Full description

We have an exciting opportunity to advance your career and drive meaningful impact by pushing the limits of modern engineering.

As a Lead Software Engineer at JPMorganChase within Corporate Technology, you will be a key technical leader within an agile team responsible for designing, building, and delivering secure, scalable, and high-performing technology solutions. You will contribute across multiple domains, partnering with business and technology stakeholders to deliver strategic platforms that enable the firm’s objectives.

Job Responsibilities

Lead the design, development, and delivery of innovative software solutions, solving complex problems with creative and forward-thinking approachesBuild and maintain high-quality, secure, and production-grade code, while mentoring and reviewing the work of other engineersDrive architecture decisions to ensure scalability, resiliency, and zero-downtime deploymentsIdentify opportunities to automate operational processes and eliminate recurring issues, improving platform stability and efficiencyDevelop and implement data-intensive and statistical solutions using Java/Scala on large-scale datasetsDesign and build AI-enabled applications, including AI Agents and agentic workflowsWork across hybrid data ecosystems (AWS, Databricks, Kubernetes)Ensure code quality through unit testing, integration testing, and continuous validation practicesCollaborate with cross-functional teams to deliver end-to-end solutions aligned with enterprise standards

Required Qualifications, Capabilities, and Skills

Significant experience in software engineering with formal training or equivalent practical expertiseStrong proficiency in Java and Spring Boot, with working knowledge of SQL and modern front-end frameworks (e.g., React)Demonstrated experience in designing scalable, secure, and resilient distributed systemsStrong understanding of modern architecture patterns (microservices, event-driven, API-first)Experience with CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and Infrastructure as CodeExpertise in API design (REST, GraphQL) and integration patternsHands-on experience building applications on AWS or other public cloud platformsExperience with Generative AI systems, including: RAG (Retrieval-Augmented Generation) architectureAI orchestration frameworks (LangChain, LlamaIndex, etc.)LLM evaluation frameworks and responsible AI practices (guardrails, content filtering)

Preferred Qualifications, Capabilities, and Skills

Deep expertise in Java, object-oriented design, and system designExperience with ElasticSearch, Oracle, MongoDB, and modern data platformsProven experience building AI-enabled applications and agentic architectureExperience developing reusable AI Agent skills/frameworks to accelerate engineering teams.