{"id":3649084,"url":"https://alion.io/job/cubx-senior-full-stack-product-engineer","title":"Senior Full Stack Product Engineer","company":{"id":674515,"name":"CubX","domain":"cubx.com","url":"https://alion.io/company/cubx","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lakewood, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Context Engineering","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"Git","optional":false},{"name":"Node JS","optional":false},{"name":"OpenAI Codex","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"Function Calling","optional":true},{"name":"JavaScript","optional":true},{"name":"LLM","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"Structured Outputs","optional":true}],"status":"live","first_seen_at":"2026-11-06T00:00:00Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-07T17:39:55Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"The Role\nCubX is looking for a Senior Full Stack Product Engineer who can take a business need from concept to production.\nThis is a hands-on role for someone who combines strong full-stack engineering with product thinking and design judgment. You’ll work directly with business leaders and users to understand problems, design thoughtful solutions, and build polished internal applications that improve how our managed service business operates.\nAI-assisted development is a core part of this role. We’re looking for someone who has successfully used AI coding tools to accelerate professional software development while maintaining ownership of architecture, quality, security, and the final product.\nWhat You'll Do\nLead discovery with stakeholders to understand business problems, requirements, workflows, and constraints.\nTranslate complex needs into clear user journeys, product designs, and technical solutions.\nCreate wireframes and prototypes and establish the visual direction for intuitive, polished interfaces.\nDesign application architecture, data models, APIs, integrations, permissions, and workflows.\nBuild and maintain full-stack applications using React, TypeScript, Node.js, and MongoDB.\nPartner with DevOps on Docker, CI/CD, Azure deployments, and production reliability.\nUse AI tools throughout planning, development, testing, debugging, refactoring, and documentation.\nReview and verify AI-generated code rather than treating AI output as production-ready by default.\nOwn solutions through release and continue improving them based on user feedback and production behavior.\nWhat We’re Looking For\nProven experience taking products or significant workflows from an ambiguous business need through design, development, deployment, and ongoing improvement.\nStrong hands-on experience with TypeScript, React, Node.js, and MongoDB.\nExperience with Azure, Docker, Git, CI/CD, REST APIs, authentication, authorization, and automated testing.\nStrong product judgment and the ability to simplify complex business workflows.\nExperience creating and implementing user interfaces, not simply working from someone else’s designs.\nStrong communication skills and comfort working directly with business and technical stakeholders.\nShow Us What You’ve Built\nDuring the interview process, we’ll ask you to walk us through two examples of software you delivered using AI-assisted development.\nAt least one should demonstrate your involvement from stakeholder discovery and original product/design thinking through development and production release.\nBe prepared to discuss:\nThe business problem and how you approached it.\nYour design and architecture decisions.\nHow you used AI during development.\nAn AI-generated mistake or issue you identified and how you caught it.\nWhat ultimately shipped and how you improved it after release.\nWorking demonstrations, anonymized case studies, and redacted materials are welcome.\nRequirements\nProduct and engineering requirements\nA track record of leading discovery and personally taking products or substantial workflows from an ambiguous need through visual design, architecture, implementation, production release, and continued improvement. \nDeep hands-on proficiency in TypeScript, React, and Node.js, with the ability to explain, debug, and maintain the full application and the code generated by AI. \nStrong practical experience with MongoDB, Docker, Azure, Git, and CI/CD; REST APIs, service boundaries, authentication, authorization, and automated testing. \nA portfolio or case studies showing visual direction you personally created and implemented; strong product judgment, stakeholder communication, and the ability to simplify complex workflows. \nRequired AI development experience\nYou use AI coding tools and agents as a repeatable part of professional software delivery. Be ready to demonstrate the following:\nSubstantial hands-on experience with one or more tools such as Claude Code, Cursor, OpenAI Codex, or GitHub Copilot, supported by production work you personally shipped. \nEffective agentic coding: define the task, establish acceptance criteria, guide work across relevant files and services, inspect changes, and correct the approach when needed. \nPractical context engineering: give agents the relevant requirements, repository context, architectural constraints, and examples. Maintain concise project instructions and reusable workflows where they improve results. \nIndependent verification of AI output through code review, type checks, appropriate automated tests, and direct inspection of the application. Identify invented APIs, missed requirements, security issues, and regressions. \nGood judgment about when to delegate work to AI, when to investigate directly, and when to reject or rework a proposed solution. Balance tool capability, cost, speed, and reliability. \nCareful handling of company and customer information, credentials, tool permissions, and production access when using AI tools. \nNice to Have\nExperience building AI-powered application features using LLM APIs, structured outputs, tool calling, retrieval, or model evaluations.\nExperience improving AI-development workflows through reusable agent instructions, automated checks, or Model Context Protocol (MCP) integrations.\nExperience with MSP operations, enterprise administration, or internal business applications.\nBenefits\nCompetitive salary range\n Paid time off and company holidays \n Health, dental, and vision insurance options \n 401(k) retirement plan with company match \n On-site gym for employee wellness \n Modern, collaborative office environment \n Ongoing training and professional development \n Opportunity to work with cutting-edge technology \n Team events and employee appreciation initiatives \n Strong company culture focused on innovation and teamwork","description_format":"text","description_chars":5811,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Professional development","Retirement plans","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Managed IT Services (MSP)"],"lifecycle":[{"event":"open","at":"2026-11-02T23:40:58Z"}],"visa":[{"country":"US","licensed_sponsor":true,"adverts_offering_sponsorship_24m":0,"sanctioned_now":false,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":152500,"route":null,"cap_exempt":false,"checked_at":"2026-11-07T07:57:00+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, 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