Lead Data Platform Engineer for AI-scale Systems

Scale AI

San Francisco (CA)

On-site

USD 252,000 - 315,000

Full time

14 days+

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Benefits offered by this job

Comprehensive health, dental, and vision coverage
Retirement benefits
Learning and development stipend
Generous PTO
Commuter stipend

Job summary

A technology company in San Francisco is seeking a seasoned software engineer to lead the design and development of core data platforms. The ideal candidate possesses over 8 years of engineering experience, particularly in back-end systems. Responsibilities include driving architecture, collaborating with teams, and improving programming practices. Compensation packages include competitive salaries up to $315,000, equity, and comprehensive benefits, highlighting the company's commitment to reliable AI systems.

Qualifications

  • 8+ years of engineering experience in back-end systems.
  • Experience with large-scale data storage and warehousing systems.
  • Track record of mentoring and leading teams.

Responsibilities

  • Drive architecture and design of data platforms and systems.
  • Collaborate with teams to deliver new features.
  • Identify process enhancement opportunities.

Skills

Back-end systems expertise
Database technologies (MongoDB, Postgres)
Streaming/processing solutions (Kinesis, Flink, Spark)
Indexing and caching (ElasticSearch, Redis)
Cloud platforms and data systems
Containerization and deployment technologies (Kubernetes)
Communication and collaboration skills

Education

Degree in Computer Science or related field

Tools

CircleCI

Job description

A technology company in San Francisco is seeking a seasoned software engineer to lead the design and development of core data platforms. The ideal candidate possesses over 8 years of engineering experience, particularly in back-end systems. Responsibilities include driving architecture, collaborating with teams, and improving programming practices. Compensation packages include competitive salaries up to $315,000, equity, and comprehensive benefits, highlighting the company's commitment to reliable AI systems.
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