Senior 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
Senior
Where
Not stated
Stated pay
$216,000 – $311,000 USD
Requirements listed
7
Length
910 words
In the posting’s own words
As a Senior Software Engineer, you will lead 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.
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×
- Machine learning
- Prompt engineering
Product & design
- Roadmap
Ways of working
- Cross-functional
Words the posting leans on
- data8×
- agent6×
- development5×
- requirements5×
- technical5×
- building4×
- stakeholders4×
- agentic3×
- communication3×
- customers3×
- e.g3×
- engineering3×
- experience3×
- federal3×
- implementation3×
- lead3×
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.
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