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Staff Software Engineer, Public Sector

Scale AI· Public Sector Engineering
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Hybrid (San Francisco, CA; New York, NY; St. Louis, MO; Washington, DC)$188.8k - $272kfull-timePosted 6mo ago

About the role

Staff Software Engineer responsible for orchestrating vertical features and horizontal capabilities, mentoring engineers, defining requirements with stakeholders, and communicating technical trade-offs to government stakeholders and Scale executives. Focus on agentic guardrails, explainability, fleet orchestration, and integration of AI-powered solutions for large-scale federal contracts.

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.
  • Influence the long-term product strategy and technical roadmap for the Federal business unit.
  • Consult on the architecture of AI-powered solutions for large-scale federal contracts.

Qualifications

  • 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 cloud platforms (e.g., AWS, Azure, GCP) and experience in developing and deploying applications in a cloud-native environment. Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes) is a plus
  • Data Engineering: Knowledge of ETL (Extract, Transform, Load) processes and experience in building data pipelines to integrate and process diverse data sources. Understanding of data modeling, data warehousing, and data governance principles
  • AI Application Integration: Familiarity with integrating Large Language Models (LLMs) and building agentic workflows. Understanding of prompt engineering, retrieval-augmented generation (RAG), and agent orchestration is beneficial.
  • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions.
  • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers.
  • Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements.

Skills

Required:Full Stack DevelopmentCloud-Native TechnologiesData EngineeringProblem SolvingCollaboration and CommunicationAdaptability and Learning Agility
Nice to have:AI Application Integration

Benefits

  • comprehensive health, dental and vision coverage
  • retirement benefits
  • learning and development stipend
  • generous PTO
  • commuter stipend (eligible)
Last updated Jul 8, 2026. Interested? Apply on the company site.
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About Scale AI

Data-centric infrastructure to accelerate the development of AI

Scale accelerates the development of AI within organizations of any size to deliver critical business insights and operational efficiency. Its data-centric infrastructure platform leverages RLHF (Reinforced Learning with Human Feedback) to help organizations build the strongest AI models that supercharge their business, with customers across industries including Meta, Microsoft, U.S. Army, DoD’s Defense Innovation Unit, Open AI, General Motors, Toyota Research Institute, Brex, Instacart and Flexport.

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