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Fullstack Engineer - Collection (SDE 2)

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Onsite

Fullstack Engineer - Collection (SDE 2)

Kredivo Group

Fullstack Engineer - Collection (SDE 2)

Skills

Google Cloud PlatformSQL QueriesNextData EngineeringReactNodePythonGolangTailwind CSSPostgreSQLMySQLGoogle BigQueryData AnalysisAWS

1 month ago

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Important information


Contract type:

Permanent

Location:

Jakarta, Indonesia

Work mode:

Onsite

Published on:

11 September 2026

What they need


About The Job

  • Design, develop, and maintain backend services using Golang (must-have).
  • Build and improve internal tools and user interfaces using React.js / Next.js (must-have) with Tailwind CSS.
  • Write and optimize SQL queries (MySQL, PostgreSQL) and work with BigQuery datasets.
  • Implement and maintain cloud-based workflows (Google Cloud Run, Cloud Functions, Cloud Scheduler, Cloud Jobs).
  • Handle integrations with object storage (e.g., AWS S3 or GCP Cloud Storage) for files, logs, and reports.
  • Write unit tests and ensure proper test coverage for backend and frontend code (must-have).
  • Contribute to feature development, bug fixing, and performance tuning.
  • Collaborate with other engineers to translate business needs into technical solutions.
  • Ensure clean, maintainable, and well-documented code.

About You

  • 2–4 years of professional software development experience, including feature ownership and production issue handling.
  • Proficiency in Golang (must-have).
  • Proficiency in React.js / Next.js (must-have).
  • Solid understanding of relational databases (MySQL, PostgreSQL) and ability to write optimized queries.
  • Familiarity with Google Cloud Platform services (Cloud Run, Cloud Functions, Cloud Scheduler, BigQuery).
  • Experience with AWS S3 or GCP Cloud Storage (file handling, uploads, downloads).
  • Experience in writing unit tests for backend and frontend code (must-have).
  • Strong problem-solving skills and eagerness to learn new technologies.
  • Good communication skills and ability to work collaboratively.
  • Experience with Python scripting/automation.
  • Experience with Node.js
  • Exposure to CI/CD pipelines and deployment workflows.
  • Interest in data engineering and analytics.

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