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Scale AIScale AI

Senior Software Engineer, Data Platform

Leads the design, development, and reliability of foundational data storage, streaming, caching, indexing, and warehousing platforms. The role requires at least five years of backend engineering experience, distributed-systems expertise, and fluency with modern data and cloud technologies.

About the job

Responsibilities

  • Drive the design, implementation, and reliability of foundational data platforms and systems, working with stakeholders and internal customers to understand and refine requirements.
  • Collaborate with cross-functional teams to define, design, and deliver new features.
  • Identify opportunities and drive improvements to programming practices, including process enhancements and tool upgrades.
  • Present technical information to teams and stakeholders, providing guidance on development processes and technologies.
  • Mentor and lead teams on successful projects.

Requirements

  • 5+ years of full-time engineering experience after graduation, specializing in backend systems and large-scale data storage, streaming, and warehousing systems.
  • Experience with database technologies, streaming and processing solutions, indexing and caching systems, and data query engines.
  • Excellent communication and collaboration skills, including the ability to translate complex technical concepts for non-technical stakeholders.
  • Experience with containerization, deployment technologies, Kubernetes, and public cloud platforms.
  • Extensive software development experience and a deep understanding of distributed systems, cloud platforms, and data systems.

Nice to Have

  • Strong knowledge of software engineering best practices and CI/CD tooling.
  • Experience scaling products at hyper-growth startups.
  • Excitement to work with AI technologies.

Benefits and Compensation

  • No compensation information provided.

Skills

MongoDB, Postgres, Amazon Kinesis, Apache Flink, Spark, Elasticsearch, Redis, Trino, Presto, Snowflake, Kubernetes, CircleCI, Distributed Systems, Cloud Platforms, Data Warehousing

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