Staff Software Engineer, Public Sector

Scale AI
San Francisco, St. Louis, New York, Washington
Workplace: HybridFull timeFunction: Software EngineeringSkills: ["Communication","Leadership","Problem-solving","Teamwork"]

Staff Software Engineer leading the Federal engineering team to implement vertical features and horizontal capabilities, mentor engineers, and communicate technical trade-offs to government stakeholders. Focused on architecting AI-enabled, agentic guardrails and fleet orchestration, with emphasis on reliability across security classifications and cloud-native environments.

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FursaFursa
Scale AI
Scale AI
5 months ago

Staff Software Engineer, Public Sector

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live
Reposted: similar role first listed 6 months ago

Job Summary

Staff Software Engineer leading the Federal engineering team to implement vertical features and horizontal capabilities, mentor engineers, and communicate technical trade-offs to government stakeholders. Focused on architecting AI-enabled, agentic guardrails and fleet orchestration, with emphasis on reliability across security classifications and cloud-native environments.
Location: San Francisco, St. Louis, New York, Washington
Workplace: Hybrid
Employment Type: Full time
Job Function: Software Engineering
Seniority: Manager level

Key Responsibilities

  • •Orchestrate feature implementation across the Federal engineering team to ensure architectural consistency.
  • •Define technical strategy for agentic guardrails, explainability, and fleet orchestration.
  • •Ensure system reliability and performance across multiple security classifications and network types.
  • •Mentor engineers in the process of defining requirements with stakeholders and gathering acceptance.
  • •Communicate high-level technical trade-offs and implementation strategies to senior government stakeholders and Scale C-Suite members.

Pay and Benefits

Perks:Health InsuranceDentalVisionRetirement BenefitsLearning BudgetPaid Leave

Key Requirements

  • •Full stack development across front-end, back-end and infrastructure with modern web frameworks, languages, and databases
  • •Cloud-native experience with AWS/Azure/GCP and containerization (Docker) and Kubernetes (plus)
  • •Data engineering knowledge in ETL, data pipelines, data modeling, warehousing, and governance
  • •AI application integration with LLMs, prompt engineering, retrieval-augmented generation (RAG) and agent orchestration
  • •Strong problem-solving, collaboration, and ability to communicate technical concepts to stakeholders
Experience:Public sectorGovernment
Skills:CommunicationLeadershipProblem-solvingTeamwork
Languages:English
Tech Stack:AWSAzureGCPDockerKubernetesLLMsPrompt engineeringRAGAgent orchestration

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