Software Engineer, Infrastructure & Security
Build secure, scalable backend systems for AI infrastructure serving government customers. Requires active security clearance (TS/SCI capable), full-stack expertise, cloud-native tech like Kubernetes/Docker, and hybrid office presence in DC or St. Louis.
About the job
Responsibilities
- Design and implement secure scalable backend systems for Public Sector customers, leveraging Scale's modern and cloud-native AI infrastructure.
- Own services or systems and define their long-term health goals, while also improving the health of surrounding components.
- Improve high engineering standards, tooling, and process.
- Collaborate with cross-functional teams to define and execute the vision for backend solutions, ensuring they meet the unique needs of government agencies operating in secure environments.
- Participate actively in customer engagements, working closely with stakeholders to understand requirements and deliver innovative solutions.
- Contribute to the platform roadmap and product strategy for Scale AI's Public Sector business.
Requirements
- Active security clearance, and the ability to obtain a TS/SCI with CI Poly (required).
- Full Stack Development: Proficiency in both front-end and back-end development, including experience with modern web development frameworks, programming languages, and databases. Experience with developing & delivering software to air-gapped & isolated environments is a plus.
- Cloud-Native Technologies: Understanding of containerization (e.g., Docker) and container orchestration (e.g., Kubernetes). Familiarity with cloud platforms (e.g., AWS, Azure, GCP).
- Security Focused: Experience with Federal Compliance frameworks (e.g., Cloud SRG, FedRAMP, STIG Benchmarks).
- Strong problem-solving, collaboration, communication, adaptability, and learning agility skills.
- Must be able to support work 3-4 days a week from the DC or STL office.
Skills
Docker, Kubernetes, AWS, Azure, GCP, FedRAMP, Stig, Cloud Srg, JavaScript, Backend Development
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