• Take major features from concept to shipped: scoping, architecture, implementation, and rollout. • Own whole product areas end to end, whether it's the institution admin experience, the faculty tools for configuring AI assistants, or the student-facing product. • Partner with product and design to turn ambiguous customer needs into concrete, shippable product. • Ship features end-to-end in TypeScript, across the client, server, and database. • Build and extend the integrations that connect Nectir to the systems institutions already use. • Write performant, typed, test-covered code that's safe to change. • Debug production issues across the stack, from the client to background services. • Raise the bar on code quality, test coverage, and architectural clarity. • Partner with DevOps on deployment, observability, and incident response. • Use AI coding tools as a daily part of how you build. • Scope work so agents handle what they do well and you own what they can't. • Collaborate on AI-facing product features alongside AI engineering when they cross into the platform. • Mentor teammates, review code thoughtfully, and strengthen the engineering culture. • Contribute to architectural decisions as the platform scales. • Communicate clearly in an async, distributed environment.

• Lead the Tech Support operation, ensuring efficiency, quality and adherence to SLAs. • Design, structure and improve processes, support workflows, documentation and the knowledge base. • Monitor metrics such as backlog, SLA compliance, response time, resolution time, reopenings and productivity. • Coordinate management of critical incidents, conducting root-cause analyses and prevention plans. • Collaborate with Technology, Product and Business teams to prioritize requests and drive continuous improvement. • Define standards for support, escalation, classification and ticket closure. • Identify opportunities for automation, self-service and operational optimization. • Present metrics, risks and action plans to the executive team. • Lead the support operation and monitor the performance of service providers.

• Design, develop, and maintain Infrastructure as Code (IaC) supporting distributed, containerized, and cloud-native application lifecycles. • Architect, deploy, and manage Kubernetes platforms across AWS and other cloud environments. • Design, implement, and optimize secure, performant CI/CD pipelines that automate testing, security scanning, deployment, and release management. • Implement and mature GitOps workflows using modern GitOps tooling for continuous software delivery. • Deploy, configure, and support platform hosted services in support of DOW tenant application teams across multiple impact levels. • Build and maintain highly available, production-grade Kubernetes clusters while ensuring compliance with security and operational standards. • Securely provide multi-tenant access to cloud native services. • Develop automation to improve platform reliability, scalability, and operational efficiency. • Configure and maintain Kubernetes networking technologies including Calico, Cilium, or equivalent Container Network Interfaces (CNIs). • Deploy and support observability platforms using Prometheus, Grafana, Fluent Bit, Loki, Kibana, and related monitoring and logging solutions. • Collaborate with software, platform, and security engineers to integrate security throughout the development lifecycle.

• Lead a technical team in a fully remote environment. • Develop and monitor the team's technical and professional growth. • Conduct mentoring, provide feedback, and support development plans. • Structure and improve processes to drive operational efficiency. • Identify opportunities for automation and continuous improvement. • Act as a bridge between company strategy and the team's execution. • Ensure delivery quality and alignment with clients and internal stakeholders.