✦ Luna Orbit — Software Engineering

Software Engineer, Public Sector

at Scale AI

📍 San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC Onsite Posted April 02, 2026
Type Full-Time
Experience mid
Exp. Years Not specified
Education Not specified
Category Software Engineering

Scale AI seeks a Software Engineer for Public Sector to build backend systems for Federal customers, ingest federal datasets, and develop AI-enabled features with cloud-native infrastructure and agentic capabilities.

  • Design scalable backend systems for Federal customers
  • Build data pipelines and ML infrastructure
  • Develop agentic features with multi-layer guardrails
  • Collaborate with cross-functional teams and customers
  • Define requirements with stakeholders and drive features to production

Role focuses on backend systems, data pipelines, ETL, AI integration with LLMs, and cloud platforms (AWS, Azure, GCP) with containerization (Docker, Kubernetes).

The ideal candidate is a mid- to senior-level software engineer with strong cloud and data pipeline experience who can design scalable backend systems for federal customers and translate requirements into production-ready platforms that leverage LLMs and RAG.

Full Stack Development: Proficiency in front-endback-end development and infrastructureCloud-Native Technologies: Familiarity with cloud platforms (e.g.AWSAzureGCP) and cloud-native developmentData Engineering: Knowledge of ETL (ExtractTransformLoad) processes and building data pipelinesAI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows; knowledge of prompt engineeringretrieval-augmented generation (RAG)and agent orchestration
Experience with LLMs and agent orchestrationExperience with robotics or Federal/defense techKnowledge of security and governance in data platforms
Amazon Web ServicesAWSMicrosoft AzureAzureGoogle Cloud PlatformGCPKubernetesDockerETLData pipelines
Full Stack Development; Cloud-Native Technologies; Data Engineering; AI Application Integration; Prompt engineering; Retrieval-Augmented Generation; Agent orchestration; Cloud platforms; ETL; Data pipelines; Data modeling; Data warehousing; Data governance; LLMs; RAG; guardrails; real-time decision-making
Amazon Web ServicesAWSMicrosoft AzureAzureGoogle Cloud PlatformGCPKubernetesDockerETLData pipelinesData modelingData warehousingData governanceLarge Language ModelsLLMsprompt engineeringRetrieval-Augmented Generationagent orchestrationFull Stack DevelopmentCloud-Native Technologies
CommunicationCollaborationProblem-solvingAdaptabilityLearning AgilityInterpersonal skills
Industry Government/Public Sector
Job Function Develop scalable backend and data infrastructure for Federal-scale AI applications
Role Subtype Pre-Sales Engineer
Tech Domains Amazon Web Services, Microsoft Azure, Google Cloud Platform, Kubernetes, Docker, Python, JavaScript, TypeScript, ETL, Data pipelines
software engineerpublic sectorfederalcloud-nativeAmazon Web ServicesAWSMicrosoft AzureAzureGoogle Cloud PlatformGCPKubernetesDockerETLData pipelinesData modelingData warehousingData governanceLarge Language ModelsLLMsprompt engineeringRetrieval-Augmented Generationagent orchestrationfull stack developmentguardrailsreal-time decision-making
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