The Public Sector software engineers (SWEs) create the core product building blocks forward-deployed teams use to develop agentic capabilities that function across multiple domains. SWEs responsibilities include building the systems required to ingest and process federal datasets to support real-time decision-making in contested environments. Optimize data retrieval for agents
Orchestrate fleets of asynchronous agents
Automatically alerts users to deviations in data
As a Software Engineer, you will own the development of a vertical feature or a horizontal capability to include defining requirements with stakeholders and implementation until it is accepted by the stakeholders.
Design and implement scalable backend systems for Federal customers using cloud-native AI infrastructure.
Build features for agentic systems including multi-layered guardrails and data retrieval optimization.
Develop data pipelines and machine learning infrastructure to make data sources accessible by agents.
Collaborate with cross-functional teams to execute backend solutions for secure environments.
Participate in customer engagements to understand requirements and deliver technical solutions.
Contribute to the platform roadmap and product strategy for the Federal business.
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. 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. 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. Ability to quickly grasp and apply new concepts and stay up-to-date with emerging trends in software engineering
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:
$The base salary range for this full-time position in the locations of Hawaii, Washington DC, Texas, Colorado is:
$The base salary range for this full-time position in the location of St. PLEASE NOTE: Our policy requires a 90-day waiting period before reconsidering candidates for the same role. At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We are expanding our team to accelerate the development of AI applications.
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