Senior Software Engineer, Data Platform

Scale AI
London
Workplace: OnsiteFull timeFunction: Software EngineeringSkills: ["Communication","Collaboration","Mentoring","Leadership","Stakeholder management"]

Lead the design and development of core data storage, streaming, caching, and indexing platforms for large-scale AI data systems. Drive reliability and implementation of foundational data platforms, partner with stakeholders to refine requirements, and collaborate cross-functionally to deliver new features. Improve programming practices through process and tooling upgrades, and present technical guidance on development processes and technologies. Leverage expertise in distributed systems and cloud data infrastructure.

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FursaFursa
Scale AI
Scale AI
1 month ago

Senior Software Engineer, Data Platform

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live

Job Summary

Lead the design and development of core data storage, streaming, caching, and indexing platforms for large-scale AI data systems. Drive reliability and implementation of foundational data platforms, partner with stakeholders to refine requirements, and collaborate cross-functionally to deliver new features. Improve programming practices through process and tooling upgrades, and present technical guidance on development processes and technologies. Leverage expertise in distributed systems and cloud data infrastructure.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Drive the design, implementation, and reliability of foundational data platforms and systems with stakeholders to refine requirements.
  • •Collaborate with cross-functional teams to define, design, and deliver new features.
  • •Identify opportunities to improve current programming practices through process enhancements and tool upgrades.
  • •Present technical information to teams and stakeholders and provide guidance on development processes and technologies.

Key Requirements

  • •5+ years of full-time engineering experience with specialties in back-end systems for large-scale data storage, streaming, and warehousing.
  • •Experience with database technologies such as MongoDB and Postgres.
  • •Experience with streaming/processing solutions (Kinesis, Flink, Spark) and indexing/caching (ElasticSearch, Redis).
  • •Ability to mentor and lead teams in successful projects.
  • •Strong communication skills, including translating complex technical concepts for non-technical stakeholders.
Skills:CommunicationCollaborationMentoringLeadershipStakeholder management
Languages:English
Tech Stack:MongoDBPostgresKinesisFlinkSparkElasticSearchRedisTrinoPrestoSnowflakeKubernetesCircleCI

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