About the company
At South Geeks, we connect top-performing engineers from Latin America with global organizations building meaningful, long-term products. We focus on high-impact work, strong technical environments, and creating spaces where professionals can grow, contribute, and thrive.
About the Client
Our client is a global nonprofit technology organization dedicated to helping people discover, preserve, and connect family history data. They operate large-scale, cloud-based platforms used by millions worldwide, where data accuracy, integrity, and reliability are critical to the mission.
Responsibilities
- Investigate, diagnose, and resolve data-quality issues in large-scale backend systems.
- Design and implement Java-based repair and correction pipelines for high-volume datasets.
- Debug and fix issues in existing Java codebases supporting distributed systems.
- Build safe, idempotent jobs to correct data without introducing regressions.
- Leverage AWS services (such as S3, SQS, and Lambda) to support queue-driven and batch workflows.
- Analyze system behavior related to performance, concurrency, and memory usage.
- Clearly communicate findings, risks, and recommendations to technical and non-technical stakeholders.
Requirements
- 6+ years of professional experience developing Java in large-scale backend systems.
- Strong debugging, triage, and data analysis skills.
- Experience working with distributed systems and high-volume processing pipelines.
- Hands-on experience with AWS, including services such as S3, SQS, and Lambda.
- Solid understanding of performance optimization, concurrency, and memory-efficient design patterns.
- Ability to design reliable, repeatable data repair workflows.
- Comfort operating in ambiguous, evolving problem spaces and deriving practical solutions.
- Strong communication skills, with the ability to summarize complex technical findings clearly.
Conditions
- Long-term projects.
- 100% remote work.
- Payment in USD.
- Paid Time Off (PTO).
- Work-from-home & training reimbursement.
- English lessons.
- Technical training.
- Career coaching.