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Lead Software Engineer - Java Fullstack, Cloud, AI

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As a Lead Software Engineer at JPMorgan Chase within the Consumer and community banking technology - Business Banking team, 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 conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives.

Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies 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.
  • Lead technical design and delivery of complex full-stack capabilities (Java/Spring Boot + React/Angular).
  • Drive event-driven patterns using Kafka (idempotency, retries, ordering, error handling).
  • Establish strong engineering practices (test strategy, automation, CI/CD quality gates, observability).
  • Own production excellence: incident reduction, RCA prevention, performance tuning, and operational readiness.
  • Mentor engineers and influence technical direction across squads and partner teams.

Required qualifications, capabilities, and skills
  • Formal training or certification on software engineering concepts and 5+ years applied experience
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) 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
  • Deep expertise inJava 8+ / Spring Boot, microservices, andReact/Angular.
  • Strong Kafka/event-driven architecture experience (retries, idempotency, DLQ patterns, schema/versioning).
  • Experience with SQL databases with data modelling, query optimization, and performance tuning.
  • Strong NoSQL experience:Cassandra / DynamoDB / Elastic Search(data modeling, reliability, scale).
  • Strong experience withCloud Foundry/AWSand CI/CD strategy and execution.
  • Demonstrated leadership in design reviews, mentoring, and cross-team technical alignment.
  • Ability to work with tools such as Dynatrace, Splunk, Grafana for observability and monitoring
  • Experience building applications with resilient, highly available architectures, including consideration for failure modes, recovery, and operational readiness.

Preferred qualifications, capabilities, and skills
  • Working knowledge of secure engineering practices and designing to meet Cyber Security and Technology Control requirements (e.g., authentication/authorization, secure APIs, data protection, dependency hygiene).
  • Cross-team delivery leadership, PCI experience and AWS cert are pluses.

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