Software Engineer, Public Sector

About the role

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. We develop novel agentic enabling capabilities that includes: Create multi-layered guardrails around agentsOptimize data retrieval for agentsOrchestrate fleets of asynchronous agentsAutomatically alerts users to deviations in dataIllustrating how an agent reached a decision

Responsibilities

• 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.
• Define requirements with stakeholders and implement features until they are accepted.
• Contribute to the platform roadmap and product strategy for the Federal business.

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 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. Ability to think critically, identify root causes, and propose innovative approaches to overcome technical obstacles.
• 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.
• 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.

Qualifications

• Experience with cloud platforms (e.g., AWS, Azure, GCP).
• Familiarity with containerization (e.g., Docker) and container orchestration (e.g., Kubernetes).
• Knowledge of ETL processes and experience in building data pipelines.
• Understanding of data modeling, data warehousing, and data governance principles.
• Familiarity with integrating Large Language Models (LLMs) and building agentic workflows.
• Strong analytical and problem-solving skills.
• Excellent interpersonal and communication skills.
• Willingness to embrace new technologies and adapt to evolving project requirements.

Skills

• Full Stack Development
• Cloud-Native Technologies
• Data Engineering
• AI Application Integration
• Problem Solving
• Collaboration and Communication
• Adaptability and Learning Agility

Benefits

• Comprehensive health, dental and vision coverage
• Roth and Traditional 401k plans
• Learning and development stipend
• Generous PTO
• Additional benefits such as a commuter stipend

Pay

• Base salary range: $180,000—$225,000 USD for San Francisco, New York, Seattle
• Base salary range: $162,400—$233,000 USD for Hawaii, Washington DC, Texas, Colorado
• Base salary range: $135,200—$194,000 USD for St. Louis

Schedule

Full-time

Location

San Francisco, New York, Seattle, Hawaii, Washington DC, Texas, Colorado, St. Louis

Company Overview

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 work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications. We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Equal Opportunity Employer

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status. We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities.

Pay Transparency

We comply with the United States Department of Labor's Pay Transparency provision.

Privacy Policy

We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants’ needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.