MongoDB Software Engineer | Remote & Flexible Hours

BairesDev

Chile

Presencial

CLP 63.985.000 - 100.548.000

Jornada completa

Hace 13 días

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Ventajas ofrecidas por este puesto de trabajo

Remote work
Competitive compensation
Home office setup
Flexible hours
Parental leave

Descripción de la vacante

BairesDev vanguard of software solutions seeks a Software Engineer (MongoDB) to design scalable data platforms. You will build applications on MongoDB, crafting efficient schemas and robust pipelines while optimizing performance and Atlas cloud operations.

You will shape data models, lead complex aggregations, and scale clusters with sharding. Collaborate with global teams, apply MongoDB best practices, and maintain low latency across distributed systems.

Formación

  • 4+ years of experience in software engineering, DB admin, or data engineering.
  • Proven expertise building applications on MongoDB with complex schemas.
  • Experience developing and optimizing MongoDB aggregation pipelines.
  • Hands-on experience with MongoDB sharding and cluster scaling.
  • Deep understanding of MongoDB Atlas cloud management.
  • High level English proficiency.

Responsabilidades

  • Design and implement MongoDB schema models for high performance.
  • Develop and optimize complex aggregation pipelines for data analysis.
  • Manage and scale MongoDB clusters with sharding.
  • Administer MongoDB Atlas environments for secure operations.
  • Collaborate with teams to integrate MongoDB best practices.
  • Monitor performance and tune for throughput and latency.

Conocimientos

4+ years experience
English proficiency

Herramientas

MongoDB
MongoDB Atlas
Aggregation pipelines
Sharding
Cloud deployment

Descripción del empleo

BairesDev vanguard of software solutions seeks a Software Engineer (MongoDB) to design scalable data platforms. You will build applications on MongoDB, crafting efficient schemas and robust pipelines while optimizing performance and Atlas cloud operations.

You will shape data models, lead complex aggregations, and scale clusters with sharding. Collaborate with global teams, apply MongoDB best practices, and maintain low latency across distributed systems.

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