About this role
Company Description
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.
Job Description
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.
Qualifications
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Must-Have Skills
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3–5 years of professional software engineering experience.
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Strong Java and Spring Boot experience as the primary backend skill set.
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React experience for frontend development and troubleshooting.
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Experience with Kafka and GraphQL.
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Experience with SQL or MongoDB.
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Experience with software build and deployment processes.
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Senior-level ability to ramp up quickly and take ownership across multiple projects with a high degree of autonomy.
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Experience with at least one of the following:
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Dagster
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Data Lakes
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Amazon Athena
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Nice-to-Have Skills
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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.
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Product management experience working with go-to-market teams and engineers on prioritization.
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Experience with AI-assisted development tools such as Claude, Cursor, or Windsurf.
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Demonstrated initiative in taking work through code merging and deployment without close supervision.
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Clear, concise communication and comfort working through ambiguity.
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Strong prioritization and strategic thinking skills.
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Experience using data to troubleshoot and resolve production issues.
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Required Tools & Platforms
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Java and Spring Boot
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React
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Kafka
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GraphQL
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SQL or MongoDB
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At least one of:
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Dagster
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Data Lakes
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Amazon Athena
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Client-provisioned AWS WorkSpace
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Location, Time & Engagement
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Candidates must be based in an eligible LATAM location.
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US Central Time (CST) coverage is required.