#138204 - 软件工程师

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.