{"id":1633354,"url":"https://alion.io/job/arrivia-principal-software-engineer-remote","title":"Principal Software Engineer - Remote","company":{"id":2795991,"name":"arrivia","domain":"arrivia.com","url":"https://alion.io/company/arrivia","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"UltiPro","truth_index":null},"role":"Backend","role_family":"Backend","seniority":"lead","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Scottsdale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":124000,"max_usd":245000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":657},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":".NET","optional":false},{"name":"AI Agents","optional":false},{"name":"Angular","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"C#","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GraphDB","optional":false},{"name":"GraphRAG","optional":false},{"name":"JavaScript","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Next.js","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"Redis","optional":false},{"name":"TypeScript","optional":false},{"name":"Vue.js","optional":false}],"status":"live","first_seen_at":"2026-08-28T18:37:32Z","employer_posted_date":"2026-08-28","last_verified_at":"2026-10-05T00:27:18Z","board_verified":true,"closed_at":null,"days_open":37,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":37},"description":"As aPrincipal Agentic Software Engineer, Quality Systems, you are a hands-on, product-minded, customer-focused full-stack engineer who sets technical direction across multiple products and platforms and personally builds the primitives other teams depend on. This is a builder's seat with a quality center of gravity. You direct AI coding agents through real, multi-step work, and you own the harder half of that equation: knowing when the output is right. As we ship faster with agents, the engineers who can tell correct code from plausible-looking code become the ones everything else rests on. You decide what becomes shared infrastructure, make the build-vs-buy calls that shape our roadmap, and build the evaluation and test systems that let the rest of engineering move quickly without breaking trust.\nYour work reaches millions of people. We build the travel and rewards platforms behind major banks, membership organizations, and travel brands, where members book real trips with real money and points, so trust is the product. Operating with broad autonomy and cross-organizational accountability, you will lead the one-way-door decisions in your areas, balance short-term partner requests against long-term member trust, and set the operating rhythms, launch gates, and quality standards that let dependent teams move faster while protecting it.\nWhat You'll Own\nTechnical direction: Set direction across multiple products and platforms, including AI infrastructure, data platforms, and shared primitives, and personally build the components that increase leverage for teams beyond your own.\nAgentic engineering practice: Co-define our prompt libraries, MCP server patterns, quality gates for AI-generated code, and human-agent collaboration patterns, then get them adopted.\nThe quality bar for agent output: Define how AI-generated code gets reviewed and validated for correctness, security, performance, and maintainability, and build the tooling that makes that judgment repeatable rather than heroic.\nTest and evaluation infrastructure: Architect the automated testing, regression, and AI evaluation systems that other teams build on, including eval frameworks, guardrail dashboards, and the harnesses that catch silent failures a green test suite would miss.\nMCP integrations: Architect Model Context Protocol integrations that give AI agents secure, governed access to internal APIs, data sources, and platform services across teams.\nAgentic quality workflows: Define patterns and platforms that automate testing, documentation, code-review triage, and deployment checks at scale.\nStandards and simplification: Drive build-vs-buy decisions and convergence on strategic standards that reduce complexity rather than add to it.\nOperating rhythms: Institutionalize prioritization mechanisms, AI launch checklists, and SLOs that raise quality and speed for dependent teams.\nHigh-stakes decisions: Lead one-way-door decisions in your areas, minimize the chance of failure, and hold contingency plans for failure scenarios.\nData and evaluation culture: Standardize canonical metrics, minimum sample sizes, and release criteria, and hold teams to them before anything scales.\nResponsible AI: Co-define responsible-AI guardrails and review processes so high-risk use cases get scrutiny and post-incident learnings feed back into design standards.\nModernization: Turn legacy systems into scalable, cloud-native, agent-ready services through clear migration paths and architectural patterns.\nTrust and safety: Safeguard members' sensitive data by defining security patterns and partnering with our Risk, Security, and Compliance teams.\nPeople and norms: Mentor staff-level engineers and shape technical-leadership norms across individual contributors, so strong solutions emerge from teams and not from you alone.\nWhat You'll Bring\nYou do not need every item below. We are excited by candidates with real strength across several of these areas.\nA recent, hands-on track record. You have personally built and shipped working software in the last year or two, not only led teams who did.\n8 to 12 years of full-stack development and architecture experience building web applications and services, including technical leadership beyond a single team.\nA bachelor's degree in Computer Science, Computer Engineering, or equivalent experience.\nAdvanced, hands-on use of AI coding agents such as Claude Code, Cursor, or GitHub Copilot, including directing them through larger multi-step work, with a track record of building practices that others adopt.\nReal depth in software quality: test strategy and automation frameworks, CI-gated quality checks, and the judgment to know what is worth testing and what is not. You have owned quality as an engineering problem, not a process one.\nStrong proficiency in two or more of TypeScript/JavaScript, Python, and C#/.NET, plus modern frontend frameworks such as React, Next.js, Vue, or Angular.\nDeep experience with RESTful API design, distributed systems, and microservices at scale, and cloud-native delivery on AWS, Azure, or GCP including multi-region or hybrid deployments.\nHands-on depth with the Model Context Protocol, prompt engineering for code, and AI building blocks such as Azure AI Foundry, RAG, LangChain, or graph-based data technologies like GraphRAG and GraphDB.\nProduction experience with real-time streaming and distributed messaging such as Redis, Kafka, or RabbitMQ, plus containerization and orchestration with Docker and Kubernetes, advanced CI/CD, infrastructure-as-code, and modern DevOps or SRE practices.\nA record of mentoring senior engineers and raising the bar through frameworks and standards, and of explaining complex AI and architectural ideas simply to executives and non-technical partners.\nBenefits & Perks\nUnlimited PTO\nExclusive employee travel rates\nTravel discounts through arriviaprograms\nMedical, dental, and vision insurance\n401(k) with company participation\nWho We Are\narriviais the leading provider of travel loyalty, membership, and cruise solutions, powering travel experiences for millions of members through some of the world's most recognized brands, including T-Mobile, Marriott Vacations Worldwide, Hilton Grand Vacations, American Express, Alaska Airlines, Singapore Airlines, and more.\nWe're combining travel, technology, and innovation to build the future of loyalty. Through continued investment in AI, automation, and next-generation travel solutions, arriviais transforming how people discover, book, and experience travel around the world.","description_format":"text","description_chars":6540,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"security_clearance":false,"languages":[]},"benefits":["Unlimited PTO","Vision insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-01T21:27:30Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 2","filings_12m":2,"filings_prev_12m":3,"green_card_filings_12m":0,"median_offered_wage_usd":227500,"route":null,"cap_exempt":false,"checked_at":"2026-10-03T21:08:04+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":40,"band":"fade","label":"Fading","p_open":1,"p_active":0.725,"p_room":0.55,"age_days":36,"expected_fill_days":35,"reasons":["conf:1","velocity","win:tail"],"computed_at":"2026-10-04T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/arrivia-principal-software-engineer-remote","json_url":"https://alion.io/job/arrivia-principal-software-engineer-remote.json","meta":{"generated_at":"2026-10-05T02:29:03Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":3381,"day_limit":5000,"remaining_today":1619,"minute_limit":60,"resets_at":"2026-10-06T00:00:00Z"}}}