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Senior Software Engineer - Data Platform Emulators

Data
Senior Software Engineer
Remote
Enterprise SaaS

Job Description

LocalStack is seeking a Senior Software Engineer to join their team in developing data platform emulators. This role is perfect for experienced engineers who have a strong background in database systems and cloud technologies. The position offers the flexibility of remote work while being part of a team that's building critical infrastructure for data platforms.

The ideal candidate will bring deep expertise in database systems, including hands-on experience with SQL engines, query planning, and storage layers. You'll be working on complex technical challenges related to emulating various cloud data platforms such as Snowflake, Redshift, Athena, and BigQuery. This role requires both technical depth in database technologies and breadth across cloud platforms.

Your responsibilities will include developing and maintaining data platform emulators, ensuring high-quality code through comprehensive testing, and working with CI/CD pipelines. You'll need to be comfortable working with major cloud providers like AWS, Azure, or GCP, particularly in the context of big data and database systems.

This is an excellent opportunity for a senior engineer who wants to work on challenging technical problems in the cloud infrastructure space. The remote-first nature of the role offers flexibility in working from various European locations, including Barcelona, Berlin, Amsterdam, London, or Warsaw. You'll be contributing to a product that helps developers build and test cloud applications more efficiently.

The role combines deep technical work with the opportunity to influence the architecture and direction of data platform emulation capabilities. If you're passionate about databases, cloud technologies, and building developer tools that make a difference, this position offers the perfect challenge.

Last updated 7 days ago

Requirements For Senior Software Engineer - Data Platform Emulators

  • Experience working directly with databases or data warehouses (SQL engines, query planning, storage layers, indexing)
  • Experience in writing integration and regression tests, and maintaining CI/CD pipelines
  • Hands-on experience with cloud data platforms such as Snowflake, Redshift, Athena, or BigQuery
  • Experience working with at least one major cloud provider (AWS, Azure, or GCP) in a big data or database context

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