Remote Java/AI Architect

Key Responsibilities: * 70% Delivery & Execution * Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions * Documents, reviews and ensures that all quality and change control standards are met * Writes custom code or scripts to automate infrastructure, monitoring services, and test cases * Writes custom code or scripts to do "destructive testing" to ensure adequate resiliency in production * Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively * Contributes to enterprise-wide tools to drive destructive testing, automation, or engineering empowerment * Identifies product enhancements (client-facing or technical) to create a better experience for the end users * Identifies unsecured code areas and implements fixes as they are discovered with or without tooling * Identifies, implements, and shares technical solutions that can be used across the organization * Creates and architects foundational code elements that can be reused many times by a product * Creates meaningful architecture diagrams and other documentation needed for security reviews or other interested parties * Defines Service Level Objectives for product to constantly measure their reliability in production and help prioritize backlog work * 20% Support & Enablement: * Fields questions from other product teams or support teams * Monitors tools and participates in conversations to encourage collaboration across product teams * Provides application support for software running in production * Proactively monitors production Service Level Objectives for products * Works with vendors and the open-source community to help identify and implement feature enhancements in software products * Works with other product teams to create API specifications and contracts for shared data * Proactively reviews the performance and capacity of all aspects of production: code, infrastructure, data, and message processing * Triages high priority issues and outages as they arise * 10% Learning: * Participates in and leads learning activities around modern software design and development core practices (communities of practice) * Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations * Attends conferences and learns how to apply new technologies where appropriate Qualifications: * 6-8 years of experience * Mastery of a modern programming language such as Java, Python, or JavaScript/TypeScript * Mastery of a modern web application framework such as Node.js * Mastery of writing SQL queries against a relational database * Mastery of a version control system (preferably Git) * Proficient in modern front-end technologies and frameworks such as HTML, CSS, JavaScript/TypeScript, and ReactJS * Proficient in a Linux or Unix based environment * Proficient in a CI/CD toolchain and safe release practices such as feature flags and phased rollouts * Proficient in test-driven development, effective unit test creation, and end-to-end test automation using modern testing methodologies and frameworks * Proficient in destructive testing methodologies and tools * Proficient in a cloud computing platform (preferably Google Cloud) and the associated automation patterns they provide * Proficient in production systems design and defensive coding practices, including High Availability, Disaster Recovery, Performance, Efficiency, and Security * Proficient in modern microservice-based architectures and methodologies, and in frameworks for building them such as Spring Boot * Proficient in successful application of design patterns * Proficient in a NoSQL database * Proficient in query optimization and troubleshooting * Proficient in effective data modeling within both SQL and NoSQL databases * Proficient in designing and implementing RESTful and GraphQL APIs, including GraphQL services that aggregate data from many upstream services * Experience working with 12-factor methodology and understanding its benefits, and able to demonstrate appropriate patterns to more junior team members * Experience building or integrating generative AI and LLM-based services, such as agent-based workflows (Vertex AI/Gemini a plus) * Experience using AI-assisted tools across the product development lifecycle, and coaching other engineers to use them effectively * Experience with front-end performance optimization (bundle size, load time) and production observability and monitoring Exact compensation may vary based on several factors, including skills, experience, and education.