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Staff Software Engineer (Public Sector)

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Onsite

Staff Software Engineer (Public Sector)

Scale AI

Staff Software Engineer (Public Sector)

Skills

Google Cloud PlatformData EngineeringDockerProduct StrategyAIAWSKubernetesFullstack DevelopmentAzure

2 months ago

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Important information


Contract type:

Permanent

Salary:

$252,000 – $362,000 / year

Location:

San Francisco, CA, USA

Work mode:

Onsite

Published on:

29 August 2026

What they need


  • As a Staff Software Engineer, you will orchestrate the implementation of vertical features and horizontal capabilities to include mentoring other engineers on defining requirements with stakeholders and communication tradeoffs of technical implementations on feature and capabilities until they are accepted by the stakeholders
  • You will: 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

Benefits

  • Health & Wellbeing: Our holistic approach to supporting Scaliens includes comprehensive health coverage, dental and vision insurance, mental healthcare services, and more. PTO policies and accommodating schedules ensure you’ll get time off when you need it to relax and recharge. Note that our offerings may vary by region as we strive to respond to the unique needs of Scaliens around the globe.
  • Personal & Career Growth: Continuously learn and grow through annual learning & development stipend, attending leadership breakfasts, manager training, speaker series, and joining an ERG.
  • Building Scale Community: We welcome guests to our offices, and you can expect to see Scalien families and friends around. Join local happy hours, and accept invites to game nights, book clubs, and many other employee-led community events.
  • Parental Support: Balancing work and family is essential, and Scale understands the importance of having adequate leave policies in place to promote a healthy home and work life.- Adaptability and Learning Agility: Willingness to embrace new technologies, learn new skills, and adapt to defining and evolving project requirements. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering
  • 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
  • Full Stack Development: Proficiency in front-end, back-end development and infrastructure, including experience with modern web development frameworks, programming languages, and databases
  • Problem Solving: Strong analytical and problem-solving skills to understand complex challenges and devise effective solutions. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles
  • 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
  • Collaboration and Communication: Excellent interpersonal and communication skills to effectively collaborate with cross-functional teams, stakeholders, and customers. Ability to clearly articulate technical concepts to non-technical audiences and foster a collaborative work environment
  • 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

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