#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.