Software Engineer, Platform

Scale AI
London
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 5+ yearsSkills: ["Communication","Collaboration","Problem-solving"]

Build and evolve shared platform capabilities at Scale’s SGP Platform Engineering team. You’ll design foundational data platforms and lifecycle, architect core cloud infrastructure and orchestration, and help redefine how engineers build, test, and deploy. Collaborate with cross-functional partners, lead improvements to programming practices and tooling, and experiment with state-of-the-art techniques to support scalable AI systems for production and evaluation.

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FursaFursa
Scale AI
Scale AI
2 days ago

Software Engineer, Platform

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and evolve shared platform capabilities at Scale’s SGP Platform Engineering team. You’ll design foundational data platforms and lifecycle, architect core cloud infrastructure and orchestration, and help redefine how engineers build, test, and deploy. Collaborate with cross-functional partners, lead improvements to programming practices and tooling, and experiment with state-of-the-art techniques to support scalable AI systems for production and evaluation.
Location: London
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Drive the design and implementation of foundational platforms and systems that become the baseline for Scale’s capabilities.
  • •Collaborate with cross-functional teams to define requirements, design solutions, and deliver new features in an iterative development lifecycle.
  • •Lead experimentation to remain market-leading in the team’s AI domain through new techniques and technologies.
  • •Identify and drive improvements to programming practices, process enhancements, and tool upgrades.
  • •Present technical information to stakeholders and provide guidance on development processes and technologies.

Key Requirements

  • •5+ years of full-time engineering experience post-graduation with specialties in back-end systems.
  • •Strong software development experience and deep understanding of scalable, reliable distributed systems on public cloud platforms.
  • •Experience building document retrieval and understanding systems such as RAG for large-scale knowledge ingestion into agents and applications.
  • •Ability to independently own and deliver engineering projects, collaborating with and inspiring others.
  • •Experience with containerization and deployment technologies such as Kubernetes, Terraform, and Docker.
Experience:5+ yearsDistributed systemsGenerative AI
Skills:CommunicationCollaborationProblem-solving
Languages:English
Tech Stack:KubernetesTerraformDockerTemporalPostgresCircleCIGHARAGGCPAWSAzureOracleDatabricksSnowflakeZanzibarAuthz

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