{"id":3517612,"url":"https://alion.io/job/campbell-global-senior-lead-software-engineer-full-stack","title":"Senior Lead Software Engineer - Full Stack","company":{"id":2649833,"name":"Campbell Global","domain":"campbellglobal.com","url":"https://alion.io/company/campbellglobal","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":91,"open_postings":212,"ghost_share":0.042,"stale_share":0.382,"repost_share":0.094,"time_to_fill_p50_days":13,"computed_at":"2026-11-05T05:54:30Z"}},"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":["Jersey City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":127000,"max_usd":254000,"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":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"JavaScript","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Time Series","optional":false},{"name":"TypeScript","optional":false},{"name":"WebSockets","optional":false},{"name":"Function Calling","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-10-23T20:12:05Z","employer_posted_date":"2026-10-23","last_verified_at":"2026-11-05T04:37:46Z","board_verified":true,"closed_at":null,"days_open":12,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":12},"description":"Be an integral part of an agile team that's constantly pushing the envelope to enhance, build, and deliver top-notch technology products.\nAs a Senior Lead Software Engineer at JPMorganChase within Corporate Technology (CT), as part of the Treasury and Chief Investment Office (TCIO) Technology 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. You drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to a wide range of challenges across multiple technologies and applications.\nYou will be the technical lead for UI and full-stack engineering on ALMonD (Asset Liability Management on Demand), the firm's simulation platform for modeling how interest rate scenarios affect JPMorganChase's net interest income, balance sheet, and other key risk metrics. You will set the front-end and full-stack architecture, build the Python and Java services on AWS that connect users to a high-performance simulation engine, and turn complex quantitative output into clear, intuitive workflows and visualizations. As a hands-on leader, you will contribute production code regularly, set the engineering quality bar, and model an AI-forward way of working that uses modern AI tools to speed up delivery while keeping solutions reliable, well-observed, secure, and in line with firm expectations for responsible AI use.\nJob responsibilities\nSet the technical direction and architecture for the ALMonD web platform across the front end, service layer, and integration with the simulation engine, with a focus on scalability, performance, and long-term maintainability.\nBuild and maintain full-stack features end to end, from React/TypeScript user interfaces through Python services and APIs, with Java services where needed, deployed on AWS.\nDesign intuitive workflows for configuring, running, and comparing interest rate simulations and scenarios, partnering with Treasury, CIO, and risk stakeholders to translate quantitative requirements into usable product features.\nDevelop high-performance data visualizations, grids, and dashboards that render large simulation result sets (e.g., NII and EVE sensitivities, scenario comparisons, time series) with speed, clarity, and accuracy.\nLead the team's adoption of AI-assisted engineering practices using enterprise-authorized tools (e.g., for coding, refactoring, test generation, code review, and troubleshooting), and set clear standards for validating AI outputs for correctness, performance, and security.\nIdentify and prototype opportunities to bring AI into the product and engineering workflow, such as natural language scenario setup, AI-generated explanations of simulation results, and automation of repetitive development and operational tasks.\nSet and enforce engineering standards for accessibility, performance, security-by-design, and automated testing (unit, integration, and end-to-end).\nWrite secure, high-quality production code and comprehensive tests, and contribute actively to code reviews as author and reviewer with a focus on maintainability, clarity, and consistency.\nBuild observability into front-end and back-end services (logs, metrics, tracing, real-user monitoring), troubleshoot production issues, take part in incident response as needed, and automate fixes for recurring problems.\nAct as a technical mentor and multiplier for the team through design reviews, pairing, and hands-on guidance, influencing engineering direction without formal people management.\nCollaborate with Product, Treasury, CIO, Risk, and Quantitative teams to refine requirements, break down work, and deliver iteratively across Agile increments.\nRequired qualifications, capabilities, and skills\nFormal training or certification on software engineering concepts and 5+ years applied experience.\nAdvanced Python proficiency, including building production services and APIs, type hints, packaging, testing, and performance tuning.\nWorking experience with Java services, with the ability to contribute to and review Java code alongside Python.\nAdvanced proficiency in React and TypeScript/JavaScript, including modern state management, component-based architecture, and front-end performance optimization.\nStrong hands-on system design and full-stack application development skills, with demonstrated production ownership (delivery, stability, incident response, and continuous improvement).\nExperience building data-heavy user interfaces, including large interactive grids, charts, and dashboards.\nProven experience building authenticated API integrations (REST and streaming/WebSocket), including SSO, pagination, retry/backoff, and robust error handling.\nHands-on experience building and deploying applications on AWS, along with modern CI/CD practices, including automated testing, linting, type checking, and a disciplined git/PR workflow.\nDemonstrated experience using enterprise-authorized AI-assisted development tools in day-to-day engineering, with the ability to set team expectations for using them responsibly and validating their outputs.\nStrong understanding of web security, accessibility (WCAG), and front-end performance best practices.\nProven track record of technical leadership, including driving architecture decisions, mentoring engineers, and influencing across teams without direct authority.\nPreferred qualifications, capabilities, and skills\nPreferred financial services, especially Treasury, asset liability management (ALM), interest rate risk, fixed income, or balance sheet analytics.\nExposure in building user interfaces for simulation, modeling, or analytics platforms with long-running computations.\nHands-on experience building generative AI/LLM features into products, such as retrieval-augmented generation (RAG), tool/function calling, or agent workflows.\nFamiliarity with emerging AI standards and patterns such as MCP (Model Context Protocol) and agent skills.\nFamiliarity with micro-frontend architectures, design systems, or shared UI component libraries.\nExposure to distributed computing or cloud data platforms on AWS.\nFamiliarity in building in regulated environments with strong audit, access control, and change management requirements.","description_format":"text","description_chars":6338,"description_truncated":false,"requirements":{"experience_years_min":5,"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":["Forest Resources","Asset Management & Funds","Land & Agriculture Property"],"lifecycle":[{"event":"open","at":"2026-10-30T11:02:00Z"}],"visa":[],"liveness":{"score":62,"band":"ok","label":"Likely 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