Lead Software Engineer - Java Full Stack & AI Solutions - Corporate Data & Analytics Service

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 approaches Build and maintain high-quality, secure, and production-grade code, while mentoring and reviewing the work of other engineers Drive architecture decisions to ensure scalability, resiliency, and zero-downtime deployments Identify opportunities to automate operational processes and eliminate recurring issues, improving platform stability and efficiency Develop and implement data-intensive and statistical solutions using Java/Scala on large-scale datasets Design and build AI-enabled applications, including AI Agents and agentic workflows Work across hybrid data ecosystems (AWS, Databricks, Kubernetes) Ensure code quality through unit testing, integration testing, and continuous validation practices Collaborate 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 expertise Strong 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 systems Strong understanding of modern architecture patterns (microservices, event-driven, API-first) Experience with CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), and Infrastructure as Code Expertise in API design (REST, GraphQL) and integration patterns Hands-on experience building applications on AWS or other public cloud platforms Experience with Generative AI systems, including: RAG (Retrieval-Augmented Generation) architecture AI 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 design Experience with ElasticSearch, Oracle, MongoDB, and modern data platforms Proven experience building AI-enabled applications and agentic architecture Experience developing reusable AI Agent skills/frameworks to accelerate engineering teams.