Security Engineer, Infrastructure

Scale AI
San Francisco, Seattle, New York
Workplace: OnsiteFull timeFunction: CybersecuritySkills: ["Communication","Leadership","Collaboration","Mentoring","Problem-solving"]

Infrastructure Security Engineer at Scale AI responsible for securing large cloud environments, orchestrating compute clusters, and reviewing infrastructure as code. You’ll implement robust cloud security configurations, conduct security assessments, and mentor the team while collaborating with engineering and product teams to embed security throughout the infrastructure lifecycle.

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FursaFursa
Scale AI
Scale AI
8 months ago

Security Engineer, Infrastructure

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live

Job Summary

Infrastructure Security Engineer at Scale AI responsible for securing large cloud environments, orchestrating compute clusters, and reviewing infrastructure as code. You’ll implement robust cloud security configurations, conduct security assessments, and mentor the team while collaborating with engineering and product teams to embed security throughout the infrastructure lifecycle.
Location: San Francisco, Seattle, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Cybersecurity
Seniority: Sr. Manager level

Key Responsibilities

  • •Secure infrastructure across large cloud hosting providers (e.g., AWS, Azure, GCP).
  • •Implement and maintain robust security configurations and policies for cloud environments.
  • •Conduct regular security assessments and audits of infrastructure to identify vulnerabilities and areas for improvement.
  • •Develop and enforce security best practices for infrastructure automation and orchestration.
  • •Collaborate with DeveloperExperience, IT, and product teams to integrate security into all stages of the infrastructure lifecycle.

Pay and Benefits

Perks:Health InsuranceDentalVisionRetirement BenefitsLearning StipendPaid LeaveCommuter Benefits

Key Requirements

  • •Proven experience as a Security Engineer with a focus on product security.
  • •Proficiency in NodeJS, TypeScript, and Kubernetes.
  • •Experience with orchestrating and securing GPU clusters.
  • •Proficiency in infrastructure as code tools such as Terraform and CloudFormation.
  • •Experience in a senior or lead security role is preferred.
Experience:Cloud computingSecurityInfrastructure as code
Skills:CommunicationLeadershipCollaborationMentoringProblem-solving
Certifications:AWS Certified Security SpecialtyCertified Cloud Security Professional
Languages:English
Tech Stack:NodeJSTypeScriptKubernetesTerraformCloudFormationAWSAzureGCP

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