Staff Software Engineer, Public Sector
Scale AI · San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC · Public Sector Engineering · listed March 31, 2026
The shape of it
Seniority
Staff
Where
Not stated
Stated pay
$252,000 – $362,000 USD
Requirements listed
7
Length
918 words
In the posting’s own words
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.
What it asks for · 7
- 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
Tools and skills named
Cloud & infra
- AWS
- Azure
- Docker
- GCP
- Kubernetes
Data
- Data modeling
- Data pipelines
- Data warehouse
- ETL
Models & research
- LLM2×
- Prompt engineering
Product & design
- Product strategy
- Roadmap
Ways of working
- Cross-functional
- Mentorship
Security & compliance
- Security
Words the posting leans on
- data8×
- technical6×
- agents5×
- stakeholders5×
- agentic4×
- building4×
- capabilities4×
- engineering4×
- engineers4×
- federal4×
- implementation4×
- communication3×
- development3×
- e.g3×
- experience3×
- feature3×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
The posting, your resume, and the gaps between them. One click loads all three.
More open at Scale AI
- AI Advisory ConsultantSan Francisco, CA; New York, NY
- AI Advisory PrincipalSan Francisco, CA; New York, NY
- AI Applications Ops Manager, GPSDoha, Qatar
- AI Builder InternSan Francisco, CA
- AI Infrastructure Engineer, Model Serving PlatformSan Francisco, CA; New York, NY
- AI Infrastructure Engineer, Sandbox PlatformLondon, UK