Back End Software Engineer

Senior Back End Software Engineer – Cloud Infrastructure (AI Foundations)

Location: Open (Relocation Supported)
Employment Type: Direct Hire
Experience Level: Senior (7+ years)
Work Authorization: Must be authorized to work in the U.S. – no sponsorship available
NO C2C

We are seeking a Senior Back End Software Engineer to join a cloud infrastructure–focused AI Foundations team. This role is responsible for building and scaling the backend systems and Kubernetes-based platforms that power advanced AI and cloud-native applications.

This position combines backend engineering, platform architecture, Dev Ops leadership, and cloud infrastructure expertise to support highly scalable, secure, and observable AI systems.

• Develop and maintain server-side logic, APIs, and core services
• Define and manage central database interactions and system configurations
• Ensure high performance, reliability, and responsiveness to front-end systems
• Integrate user-facing components with backend services
• Build reusable, well-documented, and tested common components
• Architect and implement Kubernetes-based platforms (Azure focus; multi-cloud exposure beneficial)
• Design and deploy infrastructure using Terraform and Infrastructure-as-Code best practices
• Develop Kubernetes operators and implement Crossplane where applicable
• Support multi-GPU and distributed AI workloads

Design and implement cloud-agnostic observability stacks including:

• Loki
• Open Telemetry
• Platform security controls including event monitoring, Falco, and CIS benchmark compliance

• Establish and maintain Git Ops-driven Dev Ops processes
• Create scalable CI/CD and deployment workflows
• Provide internal workshops and enablement for engineering teams
• Deliver technical leadership and clear documentation

• 7+ years of experience in backend software engineering or cloud infrastructure
• Strong experience with Terraform and Infrastructure-as-Code
• Experience across cloud providers (Azure preferred; AWS/GCP beneficial)
• Deep understanding of observability and monitoring architectures
• Strong communication skills and ability to lead cross-functional collaboration
• Bachelor’s degree in Computer Science, Computer Engineering, Mathematics, Applied Statistics, or related field
• Must be authorized to work in the U.S.

• Experience building AI-supporting infrastructure
• Experience with Crossplane and Kubernetes operators
• Experience with distributed training environments
• Strong background in security monitoring and compliance standards

• High-impact platform role supporting AI systems at scale
• Ownership of Kubernetes architecture and cloud infrastructure strategy
• Opportunity to shape Dev Ops standards and enable internal teams
• Relocation supported for the right candidate
• Work at the intersection of backend engineering and AI infrastructure