Team Lead, ARC Software Engineering Team

Scale AI
San Francisco, St. Louis, New York, Washington
Workplace: HybridFull timeUSD 188,800 - 362,000 annuallyFunction: Administration & Executive AssistanceSkills: ["Mentorship","Problem-solving","Analytical thinking","Cross-functional collaboration","Communication"]

Lead the ARC team for Scale AI’s Public Sector Engineering group, defining how software is shipped into complex, high-security government environments. Design and implement secure, scalable backend systems, build internal CLIs/tools for testing and deployment, and automate release processes to reduce tech debt. Re-architect stacks with swappable components to meet compliance mandates, mentor and manage teammates, and collaborate with cross-functional stakeholders and customers to deliver backend solutions and influence platform direction.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Scale AI
Scale AI
1 month ago

Team Lead, ARC Software Engineering Team

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Lead the ARC team for Scale AI’s Public Sector Engineering group, defining how software is shipped into complex, high-security government environments. Design and implement secure, scalable backend systems, build internal CLIs/tools for testing and deployment, and automate release processes to reduce tech debt. Re-architect stacks with swappable components to meet compliance mandates, mentor and manage teammates, and collaborate with cross-functional stakeholders and customers to deliver backend solutions and influence platform direction.
Location: San Francisco, St. Louis, New York, Washington
Workplace: Hybrid
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Manager level

Key Responsibilities

  • •Define how the company ships software into complex government and high-security environments.
  • •Design and implement secure scalable backend systems for Public Sector customers using Scale’s cloud-native AI infrastructure.
  • •Build and maintain internal CLIs/tools that standardize testing, deployment, and environment management to prevent downstream breakages.
  • •Manage team performance and provide mentorship while guiding the technical direction.
  • •Re-architect the stack for compliant/restrictive environments using swappable components (auth, storage, logging) and collaborate to execute the backend solution vision.

Pay and Benefits

Salary: USD 188,800 - 362,000 annually
Equity and Bonus:Equity
Perks:Health InsuranceDentalVisionRetirement BenefitsLearning BudgetPaid LeaveCommuter Benefits

Key Requirements

  • •Active secret clearance is required; candidates without at least a secret clearance will not be considered.
  • •Proficiency in full stack development, including experience with modern web development frameworks, programming languages, and databases.
  • •Understanding of containerization and container orchestration (Docker, Kubernetes) and experience developing/deploying in cloud-native environments.
  • •Experience with federal compliance frameworks and requirements such as Cloud SRG, FedRAMP, and STIG Benchmarks.
  • •Support working 3 days a week from the DC, SF, NYC, or STL office.
Experience:Public SectorGovernment compliance
Skills:MentorshipProblem-solvingAnalytical thinkingCross-functional collaborationCommunication
Languages:English
Tech Stack:TerraformDockerKubernetesAWSAzureGCP

Eligibility

Security Clearance:Secret

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