1 day ago
Base Salary
$252k - $315k/yr
Responsibilities
- Drive the architecture, design, implementation, and reliability of foundational data platforms and systems.
- Build and improve large-scale data storage, streaming, warehousing, caching, indexing, and query platforms.
- Collaborate with cross-functional teams, stakeholders, and internal customers to define requirements and deliver features.
- Identify and implement improvements to programming practices, engineering processes, and development tools.
- Present technical information and provide guidance on development processes and technologies.
- Uphold and improve engineering standards, provide technical leadership, and mentor junior engineers.
- Drive cross-functional collaboration and communication at an organizational or broader level.
Requirements
- 8+ years of full-time engineering experience after graduation, specializing in backend systems and large-scale data storage, streaming, and warehousing systems.
- Extensive experience with MongoDB, Postgres, Kinesis, Flink, Spark, Elasticsearch, Redis, and data query engines such as Trino, Presto, and Snowflake.
- A track record of mentoring and leading teams through successful projects.
- Extensive software development experience and deep understanding of distributed systems, cloud platforms, and data systems.
- Experience with Kubernetes, containerization, deployment technologies, and public cloud offerings.
- Strong communication and collaboration skills, including the ability to explain complex technical concepts to non-technical stakeholders.
- Preferred experience with CI/CD tooling such as CircleCI, performance tuning and cloud data-platform cost optimization, data lifecycle strategy, GDPR privacy tooling, and scaling products at hyper-growth startups.
- Excitement to work with AI technologies.
Benefits
- Comprehensive health, dental, and vision coverage.
- Retirement benefits, learning and development stipend, and generous paid time off.
- Potential commuter stipend and equity-based compensation for eligible roles.
- Full-time position located in San Francisco, New York, or Seattle; the posting notes that location should be confirmed through the subtitle.
- The posting includes a 90-day waiting period before reconsidering candidates for the same role.
Tech Stack
Categories
BackendData Engineering
About Scale AI
Scale AI builds data annotation services and AI development tools for enterprises and government agencies, sold as a platform and managed services. Its products include the Scale Generative AI Platform for building and evaluating agents and the Data Engine for collecting, curating, and labeling training data, including RLHF and model evaluation. Founded in 2016 and headquartered in San Francisco, the company is privately held and works across domains from computer vision to LLM applications.