Senior Infrastructure Software Engineer, Enterprise AI

Job summary

Responsibilities

Scale GP is building the infrastructure that makes enterprise AI seamless. We are looking for a Senior Infrastructure Engineer to act as a primary technical lead, engineering the 'paved road' for our knowledge retrieval and inference engines.

• Architect multi-cloud systems and abstractions to allow the SGP platform to run on top of existing Cloud providers.
• Use our own data and AI platform to analyze build and test logs and metrics to identify areas for improvement.
• Define the architectural patterns for our multi-cloud infrastructure to support secure, reliable, and scalable Agentic workflows for enterprise customers.
• Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end…
• Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.

What they're looking for

• Proven experience in a senior role, with 5+ years of full-time software engineering experience.
• Deep understanding of modern infrastructure practices, including CI/CD, IaC (e.g., Terraform, Helm Charts), container orchestration (e.g., Kubernetes) and observability platforms…
• Extensive experience with at least one major cloud provider (AWS, Azure, or GCP).
• Strong knowledge of security and compliance in enterprise environments, with a focus on access management, data isolation, and customer-specific VPC setups.
• Proficiency in Python or JavaScript/TypeScript, and SQL.

Tech stack

• GCP
• Azure
• AWS
• Terraform
• Kubernetes
• Python
• TypeScript
• SQL