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Mid-level metro role with common platform skills and broad hiring across levels increases applicant density.
Core distributed systems and TypeScript skills transfer, though regulated lab informatics and GxP nuances increase domain specificity.
Explicit 5+ years, required TypeScript/Node.js, event-driven backend experience, and AI-tool proficiency make filters strict.
Own end-to-end delivery of platform features including backend microservices, data models, integrations, and UI components.
Integrate and extend AI agent capabilities within a cloud-native, event-driven distributed system.
Lead design, testing, documentation, and quality improvement of platform services, including use and critical review of AI coding tools.
5+ years of software engineering experience, hiring across mid to lead levels based on ownership capability.
Strong hands-on skills in TypeScript/Node.js and React.
Experience building event-driven services involving message queues, background processing, or distributed data flows (beyond simple REST APIs).
Daily practical experience using AI coding tools with sound judgement on their output.
Experienced generalist comfortable owning features from design through deployment in distributed, cloud-native environments.
Demonstrated ability to independently translate high-level goals into working plans and deliver production-ready features.
Comfortable working in regulated software environments prioritizing data integrity, validation, and traceability, especially in scientific or lab informatics domains.