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.