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, DevOps 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:
Prometheus, Thanos
Loki
Tempo / Jaeger
OpenTelemetry
Grafana & Alertmanager
Implement platform security controls including event monitoring, Falco, and CIS benchmark compliance
Establish and maintain GitOps-driven DevOps processes
Create scalable CI/CD and deployment workflows
Provide internal workshops and enablement for engineering teams
Deliver technical leadership and clear documentation
Required
7+ years of experience in backend software engineering or cloud infrastructure
Expert-level Kubernetes experience
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.
Preferred
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 DevOps standards and enable internal teams
Relocation supported for the right candidate
Work at the intersection of backend engineering and AI infrastructure
#LI-DNI