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.
Skills Required
- 3–5 years of professional software engineering experience
- Strong Java and Spring Boot experience
- React experience for frontend development and troubleshooting
- Experience with Kafka and GraphQL
- Experience with SQL or MongoDB
- Experience with software build and deployment processes
- Ability to ramp up quickly and take ownership across multiple projects autonomously
- Experience with Dagster, Data Lakes, or Amazon Athena
- Based in an eligible LATAM location
- Availability for US Central Time coverage
- Enterprise experience
- Python and Django backend experience
- Product management experience with go-to-market teams and engineers
- Experience with AI-assisted development tools such as Claude, Cursor, or Windsurf
- Experience taking work through code merging and deployment independently
- Clear communication and comfort working through ambiguity
- Strong prioritization and strategic thinking skills
- Experience using data to troubleshoot and resolve production issues
What We Do
Lifted, an Upwork Company, is a B2B SaaS platform that helps enterprise organizations source, contract, manage, and pay contingent talent globally and compliantly. It supports multiple engagement models, including independent contractors, staff augmentation, and employer-of-record, while integrating with MSPs and VMSs to provide centralized visibility, spend control, and audit-ready compliance, delivering a white-labeled talent experience for hiring managers and contingent workforce programs.
