#138204 - Software Engineer

We are seeking a hands-on Software Engineer to support a high-traffic, live event platform. You will diagnose and resolve production issues across interconnected backend and frontend systems, partner with client-facing teams, and keep active events running reliably. Java and Spring Boot are the primary focus. Senior-level ownership, autonomy, and the ability to ramp up quickly across multiple projects are essential. Enterprise experience is strongly preferred. Key Responsibilities - Analyze, triage, and resolve production issues, including problems affecting events that are already in progress. - Partner with client support and go-to-market teams to address support tickets and meet established service-level agreements (SLAs). - Monitor production systems and respond promptly to alerts and performance degradation. - Support architecture changes and system integrations that affect the platform. - Maintain and update event logic as dependencies and underlying systems evolve. - Support and onboard additional team members as the team grows. Must-Have Skills - 3–5 years of professional software engineering experience. - Strong Java and Spring Boot experience as the primary backend skill set. - React experience for frontend development and troubleshooting. - Experience with Kafka and GraphQL. - Experience with SQL or MongoDB. - Experience with software build and deployment processes. - Senior-level ability to ramp up quickly and take ownership across multiple projects with a high degree of autonomy. - Experience with at least one of the following: - Dagster - Data Lakes - Amazon AthenaNice-to-Have Skills - Python and Django backend experience. Java/Spring Boot is the predominant focus; candidates without Python/Django experience will still be considered, while strength in both areas is an advantage. - Product management experience working with go-to-market teams and engineers on prioritization. - Experience with AI-assisted development tools such as Claude, Cursor, or Windsurf. - Demonstrated initiative in taking work through code merging and deployment without close supervision. - Clear, concise communication and comfort working through ambiguity. - Strong prioritization and strategic thinking skills. - Experience using data to troubleshoot and resolve production issues.Required Tools & Platforms - Java and Spring Boot - React - Kafka - GraphQL - SQL or MongoDB - At least one of: - Dagster - Data Lakes - Amazon Athena - Client-provisioned AWS WorkSpaceLocation, Time & Engagement - Candidates must be based in an eligible LATAM location. - US Central Time (CST) coverage is required.