{"id":3961707,"url":"https://alion.io/job/jpmorganchase-lead-software-engineer-frontend-development","title":"Lead Software Engineer: Frontend Development","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":88,"open_postings":1137,"ghost_share":0.021,"stale_share":0.607,"repost_share":0.05,"time_to_fill_p50_days":14,"computed_at":"2026-11-09T06:03:00Z"}},"role":"Frontend","role_family":"Frontend","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":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"CI/CD","optional":false},{"name":"Django","optional":false},{"name":"JavaScript","optional":false},{"name":"Machine Learning","optional":false},{"name":"Next.js","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"SQL","optional":false},{"name":"Alteryx","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-11-04T18:38:36Z","employer_posted_date":"2026-11-04","last_verified_at":"2026-11-09T12:03:31Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"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 Infrastructure Platforms(IP) you will execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.\nJob responsibilities\nExecutes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.\nDevelops secure high-quality production code, and reviews and debugs code written by others.\nIdentifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems.\nDrives 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.\nApplies 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.\nLeads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture.\nLeads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies.\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 5+ years applied experience.\nStrong experience building and maintaining web applications with full stack with Python, Django, Java, JavaScript, Node React, Next-JS and SQL\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\nHands-on practical experience delivering system design, application development, testing, and operational stability.\nProficiency in automation and continuous delivery methods.\nAdvanced understanding of agile methodologies such as CI/CD pipelines, Application Resiliency, and Security.\nDemonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.).\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.\nPractical cloud native experience.\nPreferred qualifications, capabilities, and skills.\nExperience with infrastructure-as-code or cloud deployment automation.\nExperience with performance tuning, resiliency testing, monitoring, logging, and alerting.\nExperience working in highly controlled or regulated technology environments.\nExperience with security, identity, access, fraud, trust, risk, or customer protection platforms.\nExperience with BI tooling such as Tableau.\nExperience with Alteryx.\nFEDERAL DEPOSIT INSURANCE ACT: This position is subject to Section 19 of the Federal Deposit Insurance Act. 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