• Work in a serverless ecosystem of microservices deployed on a cloud infrastructure. • Design, develop, and deploy GraphQL APIs consumed by external developers, internal squads, and AI systems alike. • Collaborate closely with other squads who build on top of your primitives. • Keep the extension sandbox safe and reliable, ensuring anything built against the platform can’t take down the rest of the application.

• Own end-to-end operational performance of Professional Assessments exam delivery platforms, online proctoring services, and test center technologies, including availability, performance, and resilience • Serve as the single accountable engineering leader for platform stability, reliability, and effectiveness, balancing delivery priorities with operational health • Lead functional incident management, including risk anticipation, rapid resolution within agreed service windows, and clear executive communication • Ensure assigned technology services meet uptime targets and documented SLA/SLO expectations, driving measurable reduction in avoidable incidents quarter over quarter • Lead the engineering function to deliver outcomes through disciplined planning, predictable execution, and strong delivery management across teams and squads • Ensure software solutions are designed, developed, tested, and maintained to meet both product needs and operational requirements • Translate complex business requirements into scalable technical approaches aligned with company technical and functional architecture • Establish release readiness and operational gating practices, including change risk assessment, rollback readiness, and monitoring coverage • Collaborate with Product, Architecture, QA, Operations, and enterprise technology teams to ensure seamless integration across platforms and services • Partner with stakeholders to align priorities and deliver value through continuous improvement • Drive tactical service enhancements that improve reliability, reduce friction for users, and support strategic objectives • Engage with and manage external vendors to maintain operational performance and cost efficiency • Maintain current, audit-ready service documentation, including runbooks, incident playbooks, service maps, and operational metrics definitions • Manage operational risk related to system downtime, data accuracy, security, privacy, and regulatory compliance • Develop and mentor talent within the engineering function, fostering accountability and operational excellence • Build an environment that supports learning, growth, and strong execution • Lead with clear standards for ownership, service quality, and delivery discipline.

• Sets the technical vision and long-term architecture strategy for the engineering organization • Serves as the highest individual contributor authority on technology decisions, platform direction, and engineering excellence • Partners with executive leadership (VP, SVP, CTO) to align technology strategy with business objectives — bridging technical and business domains to drive decisions • Drives organization-wide initiatives — platform modernization, build-vs-buy decisions, technical debt reduction, and innovation programs • Evaluates emerging technologies and industry trends; determines applicability and leads adoption where valuable • Coaches and develops Staff and Senior Engineers; raises the bar for technical leadership and hiring standards across the organization • Establishes governance frameworks for architecture, security, data, and operational practices; represents engineering in vendor, partner, and industry evaluations • Leads post-incident reviews and drives systemic improvements to reliability, security, and operational resilience • Champions AI-assisted development practices across the engineering organization; evaluates tools, defines usage patterns, and drives adoption to improve velocity and quality at scale • Participates in a shared on-call rotation to support production reliability and patient safety; on-call rotates across the team and volume is generally low

• Build and evolve VS Code and IntelliJ IDEA plugins for ThinkRail. • Develop our language server, including analysis, completion, diagnostics, and verification. • Improve the evaluator that turns specs into code. • Integrate ThinkRail with AI agent frameworks and protocols.