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.
138k – 259k/yr
HybridSecurity Engineering
About the role
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
DockerKubernetesAWSAzureGCPFedRAMPStigCloud SrgJavaScriptBackend Development
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