Staff Systems Engineer - AI Platform & Distributed Infra

deCircle; San Francisco (CA); On-site; USD 120,000 - 160,000; Full time

Job summary

deCircle is seeking an engineer to design and implement core systems for its agentic AI platform. This role involves building production systems, ensuring reliable cloud-native infrastructure, and developing secure execution environments. The ideal candidate has over 3 years of experience in backend or distributed systems engineering, strong skills in languages like Python, and familiarity with Kubernetes and cloud services. The position requires a proactive approach in a fast-paced environment, contributing significantly to the company's direction.

Qualifications

• 3+ years of industry experience in backend, infrastructure, or distributed systems engineering.
• Strong proficiency in at least one programming language (e.g., Python, Go, Rust, or similar).
• Experience designing and operating distributed systems in production.
• Deep hands-on experience with containerization and Kubernetes.
• Experience with infrastructure-as-code tooling.
• Experience operating systems on at least one major cloud provider.

Responsibilities

• Design and build production systems that orchestrate agent execution.
• Build and operate scalable, reliable infrastructure across cloud, hybrid, and on-prem environments.
• Develop systems for sandboxed execution and implement security foundations.
• Partner closely with ML and science teams.

Skills

Backend engineering

Distributed systems

Containerization

Kubernetes

Infrastructure as code

Cloud platforms (AWS, GCP, Azure)

Python

Tools

Terraform

Pulumi

Job description

deCircle is seeking an engineer to design and implement core systems for its agentic AI platform. This role involves building production systems, ensuring reliable cloud-native infrastructure, and developing secure execution environments. The ideal candidate has over 3 years of experience in backend or distributed systems engineering, strong skills in languages like Python, and familiarity with Kubernetes and cloud services. The position requires a proactive approach in a fast-paced environment, contributing significantly to the company's direction.