About this opportunity
Scale AI lists this Senior Software Engineer, Public Sector opportunity in washington, District of Columbia. Review the employer’s description below for duties, qualifications and application requirements.
Job description
The Public Sector software engineers (SWEs) create the core product building blocks that forward‑deployed teams use to develop agentic capabilities across multiple domains. SWEs are responsible for 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 include:
Create multi‑layered guardrails around agents
Optimize data retrieval for agents
Orchestrate fleets of asynchronous agents
Automatically alert users to deviations in data
Illustrate how an agent reached a decision
Senior Software Engineer
As a Senior Software Engineer, you will lead the development of a vertical feature or a horizontal capability, including defining requirements with stakeholders and implementing until it is accepted by the stakeholders.
Responsibilities
Lead the design and implementation of scalable backend systems and distributed architectures for federal customers.
Manage the full lifecycle of feature development from requirement definition to deployment on classified networks.
Direct the orchestration of asynchronous agent fleets to meet mission requirements.
Lead customer engagements to translate mission needs into technical requirements.
Own communication with stakeholders to ensure implementation meets defined acceptance criteria.
Conduct technical reviews and identify risks within machine learning infrastructure and model serving.
Drive the platform roadmap by providing technical specifications for federal product offerings.
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 (AWS, Azure, GCP) and experience developing and deploying applications in a cloud‑native environment. Understanding of containerization (Docker) and container orchestration (Kubernetes) is a plus.
Data Engineering: Knowledge of ETL processes and experience 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.
Benefits & Compensation
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. You’ll also receive benefits including comprehensive health, dental, and vision coverage, retirement benefits, a learning and development stipend, generous PTO, and possibly a commuter stipend.
Equal Opportunity
We believe that everyone should be able to bring their whole selves to work, and 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.
Reasonable Accommodations
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application process due to a disability, please contact us at
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Worksite address
washington, DC, 20022, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.