Lead Data Platform Engineer for AI-scale Systems

Scale AI; San Francisco (CA); On-site; USD 252,000 - 315,000; Full time

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.