Senior Software Engineer, Public Sector

Scale AI
San Francisco, St. Louis, New York, Washington
Workplace: OnsiteFull timeUSD 216,000 - 311,000 annuallyFunction: Software EngineeringSkills: ["Communication","Problem-solving","Collaboration","Adaptability","Leadership"]

Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers, driving feature development from requirements to deployment on classified networks. Collaborate with stakeholders to define technical needs, manage risk in ML infrastructure, and shape the platform roadmap for public sector applications.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Scale AI
Scale AI
5 months ago

Senior 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 3 years ago

Job Summary

Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers, driving feature development from requirements to deployment on classified networks. Collaborate with stakeholders to define technical needs, manage risk in ML infrastructure, and shape the platform roadmap for public sector applications.
Location: San Francisco, St. Louis, New York, Washington
Workplace: Onsite
Employment Type: Full time · Permanent
Job Function: Software Engineering

Key Responsibilities

  • •Lead the design and implementation of scalable backend systems and distributed architectures for Federal customers.
  • •Manage the full lifecycle of feature development from requirement definition to deployment on classified networks.
  • •Direct the orchestration of asynchronous agent fleets to meet mission requirements.
  • •Lead customer engagements to translate mission needs into technical requirements.
  • •Own the communication with stakeholders to ensure implementation meets defined acceptance criteria.

Pay and Benefits

Salary: USD 216,000 - 311,000 annually
Perks:Health InsuranceDentalVisionRetirement BenefitsLearning BudgetPaid Leave

Key Requirements

  • •Full stack development: proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
  • •Cloud-native technologies: familiarity with AWS, Azure, GCP and experience in cloud-native environments; Docker and Kubernetes understanding is a plus
  • •Data engineering: knowledge of ETL processes and building data pipelines; data modeling, data warehousing, and governance principles
  • •AI application integration: familiarity with integrating LLMs and building agentic workflows; prompt engineering and RAG are beneficial
  • •Problem solving and collaboration: strong analytical skills and ability to communicate with cross-functional teams and stakeholders
Experience:Public sectorFederal
Skills:CommunicationProblem-solvingCollaborationAdaptabilityLeadership
Languages:English
Tech Stack:AWSAzureGCPDockerKubernetesETLLLMsRAG

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