Senior Lead Software Engineer Java Spring boor Gen AI
JPMorgan ChaseResponsibilities
- Own end-to-end solution architecture across applications, APIs, data, integrations, and development-to-production environments.
- Translate business requirements into target-state architecture, high-level designs, low-level designs, trade-offs, and documented decisions.
- Define integration patterns and cross-service contracts, including versioning, compatibility, and service-level agreements.
- Provide hands-on technical leadership through Java/Spring Boot and Python implementations, critical-path development, and proofs of concept.
- Lead design spikes, performance investigations, production issue triage, and root-cause analysis.
- Establish engineering standards through reusable patterns, templates, and shared components.
- Design and deliver production patterns for AI/ML inference, feature pipelines, evaluation, and monitoring.
- Partner with Data Science teams to transition models from experimentation into reliable, scalable, observable services.
- Implement responsible AI controls, including traceability, testing, evaluation, approvals, and appropriate human oversight.
- Define and deliver non-functional requirements and operational excellence for availability, latency, throughput, scalability, resiliency, recovery objectives, capacity planning, observability, and runbooks.
Requirements
- Formal training or certification in software engineering concepts and at least 9 years of applied experience.
- Strong hands-on experience designing and delivering enterprise solutions end to end.
- Expertise in Java 11/17+ with Spring Boot microservices, API design, and testing practices.
- Expertise in Python 3.x for services, automation, and data/ML integration.
- Proven distributed systems experience with microservices, event-driven architecture, and Kafka or equivalent messaging/streaming technology.
- Strong data architecture fundamentals, including relational and NoSQL patterns, caching, data consistency, and schema evolution.
- Practical experience productionizing AI/ML through inference patterns, model packaging/serving, and monitoring or drift fundamentals.
- Working knowledge of MLOps and operational model lifecycle management.
- Experience with CI/CD, automated unit/integration/contract testing, and release/rollback strategies.
- Strong security and resiliency mindset for regulated environments, with excellent communication and stakeholder-influence skills.
- Preferred experience with Kubernetes, container platforms, cloud-native patterns, generative AI, LLMs, RAG, vector search, evaluation frameworks, prompt/model governance, modernization, and advanced observability.
Tech Stack
Categories
About JPMorgan Chase
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. We serve millions of customers and many of the world’s most prominent corporate, institutional, and government clients daily, managing assets and investments, offering business advice and strategies, and providing innovative banking solutions and services. Social Media Terms and Conditions: https://bit.ly/JPMCSocialTerms JPMorgan Chase & Co. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.