Hiring Events is a live production product that receives a high volume of support requests from clients, often related to malfunctioning or misconfigured features. The team plays a critical role in diagnosing, triaging, and resolving these issues—particularly with in-progress hiring events that are not functioning as expected. This involves debugging issues across systems, collaborating closely with the Client Support and GTM teams, and maintaining high client satisfaction, measured in part by user ratings.
Analyze and resolve production issues, especially related to ongoing hiring events. Work closely with client-facing teams to address and triage support tickets. Ensure timely resolution of issues to meet established SLAs. Monitor production systems; respond swiftly to alerts or degradation in performance ("going red"). Support architecture changes and system integrations that may impact hiring events. Maintain and update event logic in response to changes in dependencies and systems.
Must Have:
5+ yrs 1st Priority: Java/Springboot
Django/Python
React
Kafka
GraphQL
SQL or MongoDB
Build and deployment experience.
Senior-level engineer capable of ramping up quickly and assuming ownership over multiple projects.
High level of ownership and autonomy.
Experience with at least one of the following: Dagster, Data Lakes, or Amazon Athena.
Nice to Have:
Product Manager experience working with GTM teams and engineers to help with prioritization.
Experience with AI-assisted development tools: Claude, Cursor, Windsurf Contractor. Softskill layers: Individuals who can work independently and be autonomous.
Take initiative rather than just waiting for instructions, take ownership of tasks—specifically merging and deploying code—without requiring the "hand holding" that occurred with previous teams.
Leadership and Shepherding: A high priority for the initial leads is the ability to lead, shepherd, and onboard a group of other engineers on the team's behalf.
Clear & Concise communication, Handling Ambiguity, Prioritization, and strategic thinking, using data to troubleshoot production issues.