• Design, build, and maintain a Rails API (API-only mode) that serves dental scheduling data to a React frontend • Model and evolve PostgreSQL schemas using ActiveRecord migrations, targeting Azure PostgreSQL Hyperscale (Citus) in production with an emphasis on clarity, performance, and data integrity • Become the team’s subject matter expert on data mapping across different dental practice management systems and the Cosmos DB data layer • Query and consume data from Azure Cosmos DB, understanding its document model and how DPMS data is structured within it • Design and maintain application schemas on Azure PostgreSQL Hyperscale (Citus), leveraging distributed tables and colocation for performance at scale • Integrate with external healthcare systems and services via HTTP — including dental exchange APIs, payment processors, and Azure AI services — to power features such as AI-assisted dictation and intelligent workflows • Implement and maintain Azure AD B2C JWT authentication middleware, including JWKS retrieval, signature verification, claim extraction, and current_user injection • Build and operate background jobs using Sidekiq and Redis for asynchronous and long-running tasks • Write and maintain comprehensive RSpec test suites using FactoryBot, WebMock, and VCR to safely test external HTTP integrations • Run and remediate findings from Brakeman and bundler-audit as part of normal development workflows • Contribute to React frontend components and pages as needed • Collaborate closely with frontend-focused engineers and product stakeholders throughout feature development • Participate in AI-augmented development workflows, reviewing and validating AI-generated code against acceptance criteria • Follow Git best practices: feature branches, pull requests for all changes, and conventional commit messages • Proactively update documentation when behavior or architecture changes

- Design, develop, and maintain backend services using Python - Build scalable REST APIs and services that support distributed system architectures - Write clean, maintainable, and well-tested code - Participate in Agile development processes using Scrum and Jira - Collaborate with cross-functional teams including product managers, QA, and engineers - Review code and contribute to improving engineering standards and best practices - Troubleshoot and resolve production issues when needed - Work independently while maintaining clear communication with the team

• Support enterprise clients deploying and maintaining HPE XP8 Storage systems connected to IBM z/OS mainframe environments. • Responsible for implementation, configuration, upgrades, and troubleshooting of enterprise storage solutions at customer data centers. • Work directly with infrastructure, mainframe, and SAN teams to ensure high availability, optimal performance, and compliance with enterprise storage standards. • Provide best-practice recommendations for enterprise storage design. • Document configurations, procedures, and operational guidelines. • Serve as the technical lead during customer implementations.

• Lead the design and implementation of robust, efficient, and large-scale web scraping platforms using Python and associated frameworks. • Mentor junior developers, and provide technical guidance. Conduct code reviews to ensure the delivery of high-quality, maintainable code. • Develop sophisticated strategies to handle and bypass advanced anti-bot countermeasures like CAPTCHAs, Cloudflare, and IP blocking, while ensuring all practices adhere to legal and ethical guidelines and website terms of service. • Collaborate with data analysts and data engineers to define data requirements and ensure seamless integration of scraped data into databases. • Optimize scrapers for speed, performance, and stability; set up real-time monitoring and alerting systems to quickly detect and resolve failures or site changes. • Create clear technical documentation and communicate effectively with cross-functional teams and stakeholders to ensure alignment and manage expectations.