• Design and develop scalable applications using TypeScript, React, and modern web technologies • Build and maintain CI/CD pipelines, cloud infrastructure, and automated deployment processes • Implement infrastructure as code (Terraform, CloudFormation, or similar) • Partner cross-functionally to translate business needs into high-quality engineering outcomes • Deliver iteratively using agile methodologies • Leverage AI coding tools to improve velocity and effectiveness • Maintain high standards for code quality, reliability, security, and scalability • Contribute to technical planning, code reviews, and continuous improvement

• Design and build robust, scalable applications using Python, Django, and modern frontend web technologies • Work autonomously on complex assignments requiring specialist contribution and cross-team collaboration • Execute and adapt established processes to achieve technical objectives with minimal guidance • Write effective, scalable, testable code across full-stack applications (Python/Django, PostgreSQL, JavaScript/Vue) • Work with large datasets and AI/ML systems to process and enhance healthcare pricing data • Facilitate technical conversations and proactively communicate status and impact to avoid blockers • Support and guide teammates in understanding technical concepts and established processes • Iterate quickly with an eye towards value

• help design and build a next-generation isolated execution environment • enables customers to safely run their code on the Alteryx Cloud Platform

• Build responsive, accessible interfaces using modern frameworks (React, Next.js) that showcase AI features clearly. • Stand up and maintain backend services, APIs, and integrations needed to support prototypes and early production. • Translate user flows and design specs into clean, modular, well-documented code. • Manage data fetching, model calls, and state with attention to latency, error handling, and resilience. • Help evolve prototypes into production-ready experiences with appropriate tests, logging, and performance tuning. • Work closely with designers to refine flows, interaction patterns, and component behavior. • Partner with AI Engineers to integrate model endpoints, define contracts, and debug integration issues. • Support discovery and workshops by quickly prototyping end-to-end flows that make AI concepts tangible. • Communicate trade-offs and implementation options clearly to PMs and client stakeholders. • Contribute to internal templates, component libraries, and coding standards that improve speed and consistency.