2 months ago
Remote, United StatesStaff+
Responsibilities
- Set technical direction across multiple products, platforms, AI infrastructure, data platforms, and shared primitives while personally building high-leverage components.
- Define prompt libraries, Model Context Protocol server patterns, AI-generated-code quality gates, and human-agent collaboration practices.
- Architect secure and governed Model Context Protocol integrations for internal APIs, data sources, and platform services.
- Drive build-versus-buy decisions, strategic standards, prioritization mechanisms, launch checklists, SLOs, and contingency planning.
- Standardize metrics, AI evaluation frameworks, sample-size requirements, and guardrail dashboards before initiatives scale.
- Define responsible-AI guardrails and review processes, including post-incident feedback into design standards.
- Modernize legacy systems into scalable, cloud-native, agent-ready services through migration paths and architectural patterns.
- Safeguard sensitive member data through security patterns and collaboration with Risk, Security, and Compliance teams.
- Mentor staff-level and senior engineers and shape technical-leadership norms across individual contributors.
Requirements
- 8 to 12 years of full-stack development and architecture experience building web applications and services, including technical leadership beyond a single team.
- Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience.
- Recent hands-on experience personally building and shipping working software.
- Advanced hands-on use of AI coding agents such as Claude Code, Cursor, or GitHub Copilot, including multi-step work and adoption of engineering practices.
- Strong proficiency in at least two of TypeScript/JavaScript, Python, and C#/.NET, plus experience with modern frontend frameworks such as React, Next.js, Vue, or Angular.
- Deep experience with RESTful API design, distributed systems, microservices at scale, and cloud-native delivery on AWS, Azure, or GCP, including multi-region or hybrid deployments.
- Hands-on experience with the Model Context Protocol, prompt engineering for code, Azure AI Foundry, RAG, LangChain, GraphRAG, or GraphDB.
- Production experience with real-time streaming and distributed messaging such as Redis, Kafka, or RabbitMQ, plus Docker, Kubernetes, infrastructure-as-code, and modern DevOps or SRE practices.
- Experience mentoring senior engineers, raising engineering standards through frameworks, and explaining complex AI and architecture concepts to executives and non-technical partners.
Benefits
- Unlimited PTO.
- Exclusive employee travel rates and travel discounts through arrivia programs.
- Medical, dental, and vision insurance.
- 401(k) with company participation.
- Global, collaborative work environment across multiple offices.
Tech Stack
AngularApache KafkaAWSAzureC#DockerGoogle Cloud PlatformJavaScriptKubernetes.NETNext.jsPythonRabbitMQReactRedisTypeScriptVue.js
Categories
About Arrivia
Arrivia builds white-label travel loyalty and booking platforms for consumer brands, membership organizations, and employers, powering rewards programs across hotels, cruises, and vacations. The company monetizes through B2B partnerships and travel bookings, combining technology, marketing, and fulfillment services. Founded in 1997 and headquartered in Scottsdale, Arizona, Arrivia is privately held and was formerly known as International Cruise & Excursions (ICE).