Software Engineer, Public Sector

Scale AI · San Francisco, CA; St. Louis, MO; New York, NY; Washington, DC · Public Sector Engineering · listed August 6, 2023

The shape of it

Seniority
Not stated
Where
Not stated
Stated pay
$180,000 – $225,000 USD
Requirements listed
7
Length
905 words

In the posting’s own words

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.

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 pipelines2×
  • Data modeling
  • Data warehouse
  • ETL
Models & research
  • LLM2×
  • Machine learning
  • Prompt engineering
Product & design
  • Product strategy
  • Roadmap
Ways of working
  • Cross-functional2×

Words the posting leans on

  • data11×
  • agents6×
  • agentic4×
  • building4×
  • development4×
  • requirements4×
  • stakeholders4×
  • cloud-native3×
  • customers3×
  • develop3×
  • e.g3×
  • engineering3×
  • experience3×
  • features3×
  • federal3×
  • infrastructure3×

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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How this page was made

An automated read of a public job posting, fetched August 25, 2026 and last changed by Scale AI on August 4, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.