{"id":3404851,"url":"https://alion.io/job/jpmorganchase-lead-software-engineer-javapythonaiaws","title":"Lead Software Engineer - Java/Python/AI/AWS","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":90,"open_postings":1129,"ghost_share":0.01,"stale_share":0.543,"repost_share":0.058,"time_to_fill_p50_days":12,"computed_at":"2026-10-29T05:49:05Z"}},"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":["Columbus, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":192000,"max_usd":384000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1231},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon EventBridge","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"IAM","optional":false},{"name":"Java","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"JavaScript","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-10-21T21:46:54Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-29T11:26:24Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"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 Commercial & Community Banking, Marketing Tech 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:\nDesign, build, and maintain an AI agent platform that integrates with approved models/APIs (no model training), supporting orchestration, tool-use, guardrails, and evaluation.\nExecute creative software solutions across design, development, and technical troubleshooting; break down complex problems beyond routine approaches.\nBuild and manage cloud-native infrastructure on AWS using scalable compute and event-driven patterns (e.g., containers on ECS, serverless where appropriate, event/messaging with EventBridge/SNS/SQS) to support agent runtimes and workflows.\nDevelop secure, high-quality production code in Python and Java; review, debug, and improve code written by others.\nDeliver full-stack capabilities end-to-end, including backend services/APIs and React-based UI components where needed for agent-driven applications.\nBuild and maintain service interfaces and integrations (REST APIs, authN/authZ, audit/logging patterns) required for agent-driven applications.\nBuild reusable agent components (prompting patterns, tool connectors, policy/guardrail hooks, logging/tracing) to accelerate delivery across teams.\nAutomate build, deployment, testing, and release processes within the SDLC toolchain (CI/CD, controls, runbooks, change management).\nDrive team adoption of enterprise-authorized AI-assisted engineering practices, improving code quality and delivery speed while enforcing validation standards (secure coding, peer review, automated testing).\n Mentor and guide engineers through design reviews, code reviews, and engineering best practices; contribute to continuous improvement.\nMonitor platform and agent service health (latency, reliability, cost); identify and resolve performance and stability issues; eliminate recurring issues via root-cause fixes or automated remediation.\nRequired qualifications, capabilities, and skills:\nFormal training or certification in software engineering concepts and 5+ years of applied experience.\nHands-on experience delivering system design, application development, testing, and operational stability for production systems.\nAdvanced proficiency in Python and/or Java (strong preference for both).\nWorking knowledge of React (and modern frontend fundamentals) to contribute to or lead delivery of full-stack features.\nDemonstrated end-to-end (“full stack”) engineering across services/APIs, integrations, CI/CD automation, and production operations.\nPractical, hands-on AWS experience building cloud-native services (compute, storage, networking, IAM, observability).\nProficient across all aspects of the Software Development Life Cycle.\nAdvanced understanding of agile methodologies including CI/CD, application resiliency, and security-by-design.\nDemonstrated experience leading effective use of approved AI-assisted software development tools (coding, code review, test acceleration, troubleshooting), including setting validation expectations for correctness, performance, and security.\nStrong understanding of responsible AI use in engineering workflows (data sensitivity, secure handling of inputs/outputs, resiliency and security expectations); experience coaching engineers on safe, compliant adoption.\nExperience mentoring engineers and leading code/design reviews in an enterprise environment (e.g., financial services).\nPreferred Qualifications, Capabilities, and Skills:\nExperience in Agentic AI / building AI agents using existing models.\nExperience with MCP development and tool-integrated agent architectures.\nExperience with cloud-native design and delivery on AWS.\nStrong hands-on AWS experience across compute, eventing/messaging, and observability.\nStrong hands-on Java and Python experience.\n Adobe Experience Manager (AEM) knowledge (author/publish, 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