We are seeking a Mid-Level Engineer to support a live production hiring-event platform used by client-facing teams and end users. This role is highly production-focused and requires someone who can diagnose issues quickly, work across backend and frontend systems, collaborate with support and go-to-market teams, and take ownership of code changes from investigation through deployment.

The ideal candidate has strong Java/Spring Boot backend experience, secondary Django/Python experience, React frontend experience, and the ability to troubleshoot complex production issues across distributed systems. This person should be comfortable working independently, handling ambiguity, prioritizing urgent client-impacting issues, and communicating clearly with technical and non-technical stakeholders.

Enterprise experience strongly preferred.

Key Responsibilities

- Analyze and resolve production issues related to live hiring events and event workflows.

- Debug malfunctioning or misconfigured product features across backend, frontend, data, and integration layers.

- Work closely with client-facing support teams and go-to-market stakeholders to triage and resolve support tickets.

- Monitor production systems and respond quickly to alerts, performance degradation, or system health concerns.

- Support timely issue resolution in alignment with established SLAs.

- Maintain and update event logic as dependencies, systems, and business requirements change.

- Support architecture changes and system integrations that may impact event functionality.

- Own code changes through build, merge, deployment, and post-deployment validation.

- Communicate clearly and concisely when working through ambiguous production issues.

- Use data and system signals to troubleshoot production behavior and identify root causes.

Must-Have Skills

- 3-5 years of professional engineering experience.

- Strong Java and Spring Boot backend development experience.

- Django and Python backend development experience.

- React frontend development experience.

- Kafka experience.

- GraphQL experience.

- SQL or MongoDB experience.

- Build and deployment experience.

- Production debugging, triage, and issue-resolution experience.

- Ability to ramp up quickly and assume ownership across multiple projects.

- High level of autonomy and ownership.

- Experience with at least one of the following: Dagster, Data Lakes, or Amazon Athena.

- Ability to work independently and take initiative without heavy hand-holding.

- Strong prioritization and strategic thinking skills.

- Strong communication skills, especially in ambiguous or urgent production-support situations.

- Experience using data to troubleshoot production issues.

Nice-to-Have Skills

- 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.

- Experience supporting client-facing or business-critical production products.

- Experience collaborating with support, operations, or go-to-market teams.

- Experience owning merge and deployment responsibilities in a production environment.

Required Tools & Platforms

- Java

- Spring Boot

- Django

- Python

- React

- Kafka

- GraphQL

- SQL

- MongoDB

- Dagster, Data Lakes, or Amazon Athena

- Claude, Cursor, or Windsurf preferred

Location, Time & Engagement

- Remote contract role.

- Candidates must be located in LATAM.

- Full-time allocation, 40 hours per week.

- Must be able to support U.S. time zone coverage across PST, MST, CST, or EST.

- Engagement expected to run through 2027-03-31.