Software Engineer, Architecture, Reliability, & Compute
Build secure backend systems and tools for AI model inference and Public Sector customers. Own reliability, develop CLIs for deployment/testing, collaborate on integration tests. Requires security clearance and hybrid office presence in SF, NYC, DC, or STL.
About the job
Responsibilities
- Design and implement secure scalable backend systems using cloud-native AI infrastructure.
- Own services/systems, define long-term health goals, and improve surrounding components.
- Improve engineering standards, tooling, and processes.
- Collaborate with cross-functional teams to meet government agency needs in secure environments.
- Participate in customer engagements to understand requirements and deliver solutions.
- Contribute to platform roadmap and product strategy for Public Sector business.
Ideal Qualifications
- Active security clearance (TS/SCI with CI Poly required).
- Full Stack Development proficiency (front-end/back-end frameworks, languages, databases); air-gapped environments a plus.
- Cloud-Native Technologies: Docker, Kubernetes, AWS/Azure/GCP.
- Security: Federal Compliance (Cloud SRG, FedRAMP, STIG), secure software development.
- Strong problem-solving, collaboration, communication, adaptability.
- Support work 3-4 days/week from DC, SF, NYC, or STL office.
Skills
Docker, Kubernetes, AWS, Azure, GCP, JavaScript, React, Node.js, Python, Postgres, FedRAMP, Stig
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