{"id":902537,"url":"https://alion.io/job/santex-principal-full-stack-engineer-mustreact-python","title":"Principal Full-Stack Engineer (Must:React & Python)","company":{"id":688856,"name":"Santex.io","domain":"santex.io","url":"https://alion.io/company/santex-2","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":32,"computed_at":"2026-11-03T05:54:40Z"}},"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":"explicit","locations":["Mexico City, Mexico","Argentina"],"countries":["MX","AR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":43000,"max_usd":127000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2257},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Playwright","optional":false},{"name":"Python","optional":false},{"name":"React.js","optional":false},{"name":"Rest API","optional":false},{"name":"Vitest","optional":false},{"name":"WebSockets","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-08-21T12:59:06Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-11-03T23:00:14Z","board_verified":true,"closed_at":null,"days_open":74,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":74},"description":"Santex is a global Certified B technology company as well as one of North America's fastest-growing companies, according to the Inc. 5000. It’s present in 18 countries and over 100 cities, and headquartered in Argentina with offices in the United States, Mexico, and Peru.\nIts two service lines - AI Tech Consulting and AI-Optimized Engineering - help organizations comprehensively adopt technology, expand their capabilities, and improve business outcomes at scale.\nThe same approach defines its culture: Santex has 80.4% employee engagement (global average: 21%), 8% annual turnover (tech sector: 20-25%), 9,369 training hours invested in 2025 - more than double the global average -, and a 26.5% year-over-year reduction in carbon footprint, achieving carbon neutrality through offsetting.\nSantex. A company with purpose and judgment. Yes, it's possible.\nWe are an Equal Opportunity Employer and are committed to fostering an inclusive and diverse workplace. We do not discriminate on the basis of race, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law. All qualified applicants will receive consideration for employment without regard to any of these factors. We strongly encourage candidates from all backgrounds to apply.\nJob description: Principal Full-Stack Engineer (Must: React & Python)\nThe Product is focused on building the canonical enterprise representation of platform capabilities and enabling AI-powered knowledge discovery across the organization. The platform is evolving from a generated catalog into a live, AI-enriched capability map that supports chatbot experiences, roadmap insights, gap analysis, and graph-oriented knowledge outputs.\nThe product currently includes React-driven capability and domain experiences, asynchronous API-fed content refresh patterns, capability normalization and tree-building logic, filtering across nested hierarchies, implementation scoring, maturity visualization, and chatbot integration backed by the Enterprise Knowledge Base API.\nWe are looking for engineers who are comfortable working across frontend product engineering, Python-based data processing, hierarchical data modeling, and AI integration. The ideal candidate can translate complex business capability structures into intuitive, trustworthy, and visualization-friendly user experiences while applying strong engineering discipline to AI-assisted solutions.\nResponsibilities:\nBuild and extend React experiences for capability map exploration, search, filtering, scoring, and discovery.\nMaintain Python scripts that ingest, normalize, and transform capability taxonomy data from APIs.\nImprove data-shaping and tree-building logic that powers hierarchical UI experiences and map navigation.\nIntegrate evolving Knowledge Base and AI services into catalog workflows and discovery experiences.\nValidate AI-assisted code, UI generation, and data transformations with rigorous engineering standards.\nWork within a micro-frontends module architecture in a monorepo environment and integrate with Orchestrator APIs.\nContribute to experimentation, testing, build reliability, deployment automation, and engineering best practices.\nQualifications:\nStrong React 19 engineering experience with modern component patterns and asynchronous UI flows.\nPassionate about Web Vitals, Real User monitoring, experimentation.\nExperience building complex interactive UIs such as graph editors, workflow builders, diagramming tools, low-code tools, or canvas-heavy applications, hierarchical data structures, taxonomies.\nStrong frontend state management skills, including React Context + reducer patterns and interaction history such as undo/redo.\nStrong Python experience in data processing, scripting, automation, and API integration.\nExperience building data-heavy applications with advanced search, filtering, and discovery capabilities.\nExperience integrating REST APIs, STOMP/Websocket and backend-driven content sources.\nPractical testing experience with Vitest, Playwright, or equivalent testing frameworks.\nExperimented with Generative UI and MCPs\nStrong communication skills and ability to collaborate across 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