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.
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