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South Geeks

Senior Java Developer

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Summary

This role involves working as a Senior Java Engineer to diagnose and resolve data quality issues within large-scale, cloud-based distributed systems. You will design and implement Java-based repair pipelines using AWS services to ensure data integrity for a global nonprofit organization.

Hi there :)

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!

About Us

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.

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

What they ask for

Required

  • 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
  • Strong communication skills

Preferred

  • 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

Skills

See also

Software Engineering jobs by country — openings, pay and top skills →

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