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#138204 - Software Engineer

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Summary

Hands-on software engineer supporting a high-traffic live event platform: diagnosing and resolving production issues across backend and frontend systems, monitoring alerts, and meeting support SLAs. Core stack is Java/Spring Boot with React, Kafka, GraphQL, and SQL/MongoDB; LATAM-based with US Central Time coverage required.

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

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.

Skills

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