#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 Athena Nice-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 WorkSpace Location, Time & Engagement Candidates must be based in an eligible LATAM location .

US Central Time (CST) coverage is required.