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Thanks for checking in to find out about our open position. We´ll provide as much information as possible, but please feel free to reach us if you have further questions. We´ll be happy to see your application, even if there are skills you don't quite master!
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.
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.
We’re seeking a Senior SDET (Java) who combines strong backend engineering skills with a deep interest in data quality and large-scale data correction. This is a highly technical position focused on investigating data issues, debugging complex systems, and writing substantial Java code to repair and improve massive datasets.
You’ll work in an iterative, fast-moving environment, diagnosing issues across distributed systems, building safe and repeatable repair workflows, and ensuring data correctness across millions of records.
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.
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.
Experience working with genealogical, historical, or highly interrelated datasets.
Familiarity with queue-driven architectures and event-based processing.
Experience improving data integrity in legacy or long-lived systems.
We strive to create an inspiring and growth-oriented environment where everyone feels valued, heard, and empowered. We promote both personal and professional development, with individualized support for your needs and goals. We aim to build a space where everyone can thrive.
Long-term projects
100% remote work
Payment in USD
Paid Time Off (PTO)
Work-from-home & training reimbursement
English lessons
Technical training
Career coaching
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