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Scale AIScale AISan Francisco, CA

Staff Software Engineer, Data Platform

Leads architecture and development of large-scale data platforms for AI, including storage, streaming, caching, and indexing. Requires 8+ years experience with databases, streaming tools, Kubernetes, and distributed systems.

248k – 311k
Hybrid8+ YOEData Engineering

About the role

Responsibilities

  • Drive the architecture, design, implementation, and reliability of foundational data platforms and systems, working closely with stakeholders.
  • Collaborate with cross-functional teams to define, design, and deliver new features.
  • Proactively identify opportunities for improvements to programming practices, processes, and tools.
  • Present technical information to teams and stakeholders, providing guidance on development processes and technologies.
  • Provide technical leadership, including upholding engineering standards and mentoring junior engineers.

Requirements

  • 8+ years of full-time engineering experience in back-end systems, specifically large-scale data storage, streaming, and warehousing.
  • Extensive experience with database technologies (MongoDB, Postgres), streaming/processing (Kinesis, Flink, Spark), indexing/caching (ElasticSearch, Redis), and query engines (Trino, Presto, Snowflake).
  • Track record of mentoring and leading teams in successful projects.
  • Excellent communication and collaboration skills to translate complex technical concepts.
  • Experience with containerization & deployment technologies like Kubernetes and public cloud offerings.
  • Deep understanding of distributed systems, cloud platforms, and data systems.
  • Experience driving cross-functional collaboration.

Nice-to-Haves

  • Strong knowledge of software engineering best practices and CI/CD tooling (CircleCI).
  • Experience with performance tuning and cost optimizations of cloud-based data platforms.
  • Experience defining data lifecycle strategy and tooling for data privacy (e.g., GDPR).
  • Experience scaling products at hyper-growth startups.
  • Excitement to work with AI technologies.

Skills

MongoDBPostgresKinesisFlinkSparkElasticsearchRedisTrinoPrestoSnowflake

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