Staff Infrastructure Software Engineer, Enterprise AI
Core
Architecting and implementing multi-cloud infrastructure and abstractions to support secure, reliable, and scalable Agentic workflows and knowledge retrieval engines for enterprise customers.
Role type
Staff Infrastructure Software Engineer (Enterprise AI)
Builds
Multi-cloud infrastructure platforms, Agentic workflow orchestration frameworks, and observability tools for enterprise AI systems.
Domain
Enterprise AI, Multi-cloud Infrastructure, Agentic Workflows
Deliverable
infrastructure
Required skills
Multi-cloud architecture (AWS, Azure, GCP), CI/CD pipelines, Infrastructure-as-Code (Terraform, Helm), Container orchestration (Kubernetes), Observability (Datadog, Prometheus, Grafana), Python, JavaScript/TypeScript, SQL, Security and compliance design.
Preferred skills
Experience with Agents, LLMs, vector databases, automated tooling development.
Technologies
Terraform, Helm Charts, Kubernetes, Datadog, Prometheus, Grafana, AWS, Azure, GCP
Responsibilities
Architect multi-cloud systems and abstractions; Define architectural patterns for secure, scalable Agentic workflows; Enhance engineering efficiency via CI/CD and anomaly detection; Design change management and data isolation strategies; Own the development of the Agentic observability platform; Drive developer efficiency through Infrastructure-as-Code paradigms.
Seniority
Staff, primary technical lead with hands-on delivery and strategy
