# Senior Software Engineer

**Company:** [Scale AI](https://hotfix.jobs/companies/scale-ai)
**Location:** San Francisco, CA, St. Louis, MO, New York, NY, Washington, DC
**Role:** Backend Engineering
**Salary:** $162k – $311k/yr
**Skills:** AWS, Azure, GCP, Docker, Kubernetes, ETL, Data Pipelines, LLMs, RAG, Prompt Engineering, Backend Development, Frontend Frameworks, Databases
**Posted:** 2026-03-31

> Leads development of scalable backend systems, distributed architectures, and agentic capabilities for federal customers, managing full feature lifecycles from requirements to deployment on classified networks. Requires full-stack proficiency, cloud-native tech, data engineering, and AI integration expertise.

## Job Description

## 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.

## 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).
- **Data Engineering**: Knowledge of ETL 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.
- Strong analytical and problem-solving skills.
- Excellent interpersonal and communication skills.
- Adaptability and learning agility.

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**Apply:** https://hotfix.jobs/jobs/46ba7e0b-32ed-4f54-bae8-7c4da37f7218
**Canonical:** https://hotfix.jobs/jobs/46ba7e0b-32ed-4f54-bae8-7c4da37f7218