Mid-Level Engineer (Java, Python, React)

Job Description This is a remote position. 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. What You'll Do 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. Requirements Must Have > 3–5 yrs 1st Priority: Java/Springboot (Event Management Backend, Lobby Backend) – Primary 2nd Priority: Django/Python (Event Management Backend, Lobby Backend) – Secondary React (Event Management Frontend, Lobby Frontend, IRL Frontend, Jobseeker Frontend) Kafka (Event Management Backend) GraphQL (Event Management Backend, Lobby Backend) SQL or MongoDB (Event Management Backend, Lobby Backend) Build and deployment experience 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 Soft Skills Required Work independently and autonomously Take initiative rather than waiting for instructions; own merging and deploying code without "hand holding" Clear and concise communication Handle ambiguity Prioritization and strategic thinking Use data to troubleshoot production issues