Job Description

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.

Qualifications

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.

Additional Information

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.

Lifted, an Upwork Company™

New Jobs

#119771 - Mid-Level Engineer

#119004 - Data Engineer