Remote Java/AI Architect

• 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

• 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.