Staff Software Engineer, Data Platform

Scale AI
San Francisco, Seattle, New York
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 8+ yearsSkills: ["Communication","Mentoring","Leadership","Collaboration","Problem-solving"]

Lead and architect core data storage, streaming, caching, and indexing platforms for Scale's data platform. Collaborate with cross-functional teams to design new features, drive engineering standards, mentor engineers, and continuously improve development practices across distributed systems and cloud data platforms in a high-scale AI-focused environment.

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FursaFursa
Scale AI
Scale AI
7 months ago

Staff Software Engineer, Data Platform

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead and architect core data storage, streaming, caching, and indexing platforms for Scale's data platform. Collaborate with cross-functional teams to design new features, drive engineering standards, mentor engineers, and continuously improve development practices across distributed systems and cloud data platforms in a high-scale AI-focused environment.
Location: San Francisco, Seattle, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering

Key Responsibilities

  • •Architect, design, and implement foundational data platforms and systems, ensuring reliability and scalability while refining requirements with stakeholders.
  • •Collaborate with cross-functional teams to define, design, and deliver new features.
  • •Proactively identify opportunities to improve programming practices, processes, and tools.
  • •Present technical information to teams and stakeholders, offering guidance on development processes and technologies.
  • •Provide technical leadership by upholding and raising engineering standards and mentoring junior engineers.

Pay and Benefits

Perks:Health InsuranceDentalVisionRetirement BenefitsLearning StipendCommuter BenefitsPaid Leave

Key Requirements

  • •8+ years of full-time engineering experience with back-end systems, building large-scale data storage, streaming, and warehousing systems.
  • •Extensive experience with MongoDB and Postgres; streaming/processing (Kinesis, Flink, Spark); indexing/caching (ElasticSearch, Redis); data query engines (Trino, Presto, Snowflake, etc.).
  • •Track record of mentoring and leading teams on successful projects.
  • •Excellent written and verbal communication and ability to translate complex technical concepts to non-technical stakeholders.
  • •Experience with Kubernetes and public cloud offerings; understanding of distributed systems, cloud platforms, and data systems.
Experience:8+ yearsDistributed systemsCloudData platforms
Skills:CommunicationMentoringLeadershipCollaborationProblem-solving
Languages:English
Tech Stack:MongoDBPostgreSQLKinesisFlinkSparkElasticSearchRedisTrinoPrestoSnowflakeKubernetesDockerCircleCI

Company Brief

Scale AI
Provides data labeling, annotation, and infrastructure services to accelerate machine learning and AI development. Supplies high-quality training data, tooling, and APIs for customers in autonomous vehicles, mapping, robotics, and enterprise AI applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2016
WebsiteLinkedIn