Java Dev/SDET

Senior Software Engineer (Java)

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.

About the Role

We are seeking a Senior Software Engineer (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.

Key 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.

Required Skills & Experience

• 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.

Nice to Have

• 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.

Our Team

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.

What We Offer

• Long-term projects
• 100% remote work
• Payment in USD
• Paid Time Off (PTO)
• Work-from-home & training reimbursement
• English lessons
• Technical training
• Career coaching