{"id":915685,"url":"https://alion.io/job/jpmorganchase-lead-software-engineer-full-stack-java-react-ai","title":"Lead Software Engineer - Full-Stack Java, React & AI","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":89,"open_postings":1107,"ghost_share":0.02,"stale_share":0.578,"repost_share":0.051,"time_to_fill_p50_days":14,"computed_at":"2026-11-04T06:34:25Z"}},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Plano, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":170000,"max_usd":340000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1231},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Git","optional":false},{"name":"Hibernate","optional":false},{"name":"Jenkins","optional":false},{"name":"JUnit","optional":false},{"name":"Liquibase","optional":false},{"name":"Maven","optional":false},{"name":"Mockito","optional":false},{"name":"Oracle","optional":false},{"name":"Rest API","optional":false},{"name":"SonarQube","optional":false},{"name":"Spring Boot","optional":false},{"name":"SQL","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Angular","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AppDynamics","optional":true},{"name":"Dynatrace","optional":true},{"name":"Grafana","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Kotlin","optional":true},{"name":"LLM Guardrails","optional":true},{"name":"React.js","optional":true},{"name":"Redux","optional":true},{"name":"Splunk","optional":true},{"name":"TypeScript","optional":true}],"status":"live","first_seen_at":"2026-09-14T00:00:00Z","employer_posted_date":"2026-09-14","last_verified_at":"2026-11-04T11:49:00Z","board_verified":true,"closed_at":null,"days_open":51,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":51},"description":"We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.\nAs a Lead Software Engineer at JPMorganChase within the Asset & Wealth Management, 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.\nJob responsibilities:\nOwn application components end-to-end across the SDLC, including architecture, build, test, deploy, observability, and production support.\nPartner with product, design, business, and engineering stakeholders to translate complex requirements into actionable technical plans.\nDesign and deliver secure, resilient, high-performance services and user experiences for enterprise-scale managed-account platforms.\nLead technical discovery, solution design, complexity estimation, and implementation for high-impact initiatives.\nCoach engineers via code reviews, pairing, technical stories, and pragmatic engineering standards.\nDrive adoption of enterprise-approved AI-assisted engineering practices to improve quality, speed, and operational outcomes.\nApply appropriate architectural patterns (DDD, microservices, event-driven, cloud-native) where they add clear value.\nUse AI coding tools (e.g., Claude Code, GitHub Copilot) to accelerate understanding, delivery, testing, debugging, docs, and modernization.\nCreate high-quality prompts and reusable guidance that provide AI agents with necessary business, architecture, and repo context.\nValidate all AI-generated changes (secure coding, peer review, automated testing), keep edits focused, protect sensitive data, and remain accountable for outcomes.\nImprove CI/CD, test automation, developer experience, and operational readiness by reducing manual effort and tightening feedback loops.\nRequired qualifications, capabilities, and skills:\nFormal training or certification on software engineering concepts and 5+ years applied experience \n10+ years of hands-on enterprise software engineering experience using Java, J2EE, REST APIs, Spring Boot, Hibernate or another ORM, microservices, and relational databases such as Oracle or Sybase.\nDemonstrated 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.\nStrong 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\nStrong experience designing highly scalable, secure, resilient, and observable distributed systems.\nDeep understanding of object-oriented design, Domain-Driven Design, microservices patterns, client-server architecture, and modern cloud-native architectures.\nStrong test-driven development skills and practical experience with JUnit, Mockito, Cucumber, or comparable automation frameworks.\nProficiency in SQL, complex queries, joins, stored procedures, views, indexes, and database change management; Liquibase experience is beneficial.\nHands-on experience building CI/CD pipelines using Git, Maven, Jenkins, SonarQube, or equivalent tools.\nExperience with Agile software delivery and a track record of leading technical work in collaborative, cross-functional teams.\nStrong analytical and problem-solving skills, with excellent attention to detail and the ability to communicate complex ideas clearly.\nPreferred qualifications, capabilities, and skills:\nFront-end development with React, Angular, TypeScript, JavaScript, HTML, and state-management libraries such as Redux.\nEvent-driven processing with Kafka or a comparable messaging platform.\nObservability and monitoring with Dynatrace, Splunk, Grafana, AppDynamics, or similar technologies.\nCloud Foundry or other public/private cloud platforms.\nPractical experience with Claude Code, GitHub Copilot, or similar AI coding assistants, including repository-level context, agentic workflows, automated test generation, code review, and documentation.\nExperience defining guardrails and validation practices for responsible AI-assisted development, including human review, secure data handling, focused changes, and measurable test coverage.\nBanking, wealth management, managed accounts, or broader financial-services domain knowledge.","description_format":"text","description_chars":4733,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Wealth Management & Financial Advisors","Asset Management & Funds","Investment Banking & M&A 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