• Help train large-language models (LLMs) to write production-grade code • Compare & rank multiple code snippets • Repair & refactor AI-generated code • Inject feedback into the RLHF pipeline

• Work on services supporting our customer-facing web and mobile apps • Work mostly on the backend but with a full-stack mindset. • Use AI tooling for most, if not all, of your tasks • Write your unit tests • Automate stuff. Like a lot. • Be religious with Git • Depend on a CI pipeline and world-class telemetry. • Experiment, learn, and have fun

• SRE Leadership & Strategy: Set clear goals for the SRE team and partner with Engineering leadership to align platform initiatives with business objectives. • Reliability & Observability (SLA/SLO): Lead the definition and enforcement of SLAs, SLIs, and SLOs. Architect observability frameworks to translate telemetry data into actionable roadmaps that reduce toil and enhance resilience. • Core Engineering & Performance: Take ownership of critical code components (i.e., Queues, Enrollments) and lead efforts to identify bottlenecks, optimize performance, and improve code quality across the engineering department. • Security by Design: Champion infrastructure security. Partner with InfoSec to define hardening standards, manage perimeter defense (WAF/DDoS), and automate vulnerability remediation within the CI/CD pipeline. • Incident Command: Participate in the 24x7 on-call rotation and lead post-incident reviews (RCAs), ensuring action items are implemented to improve MTTR and prevent recurrence. • Mentorship: Empower developers with better tooling and guidance on performant coding practices, fostering a culture of collaboration and reliability and "you build it, you run it".

• Work closely with the founder, product managers, designers, and engineers to design and build a high-impact product. • Build and ship critical features with intent, strong attention to detail, and a focus on long-term maintainability and scalability. • Own features end to end, from shaping requirements and implementation to testing, observability, deployment, and iteration in production. • Contribute to and help shape our engineering culture as the team grows.