Overview: We are on the hunt for a skilled DevOps Engineer to architect and sustain the cloud and on-premise infrastructure that powers our innovative platform. Your responsibilities will span Kubernetes clusters, CI/CD pipelines, observability, networking, and automation, ensuring our production environment is reliable, secure, and scalable.About White CircleWhite Circle is dedicated to AI Safety, developing a framework that guarantees the safety, reliability, and efficiency of AI systems. Central to our platform are policies—clear, natural-language guidelines that dictate the permissible actions of AI models. We automate the testing, enforcement, and enhancement of these policies at scale.We have successfully secured $11M in funding from industry leaders and top-tier investors, including veterans from OpenAI, Anthropic, HuggingFace, and more.Our systems handle over one hundred million API calls each month.We specialize in fine-tuning and training our own LLMs for optimal performance and cost-efficiency compared to existing models.As a small, focused team, we value deep engagement with challenging problems. If you’re eager to see your contributions rapidly deployed into production and influence the future of AI safety, we want to hear from you.Your Responsibilities:Design, develop, and maintain production infrastructure in AWS and on-premise environments.Oversee and enhance Kubernetes clusters for deployment, scalability, reliability, and daily operations.Develop and maintain CI/CD pipelines to facilitate safer, quicker, and more reliable software releases.Manage container infrastructure, focusing on Docker image management, runtime security, and overall lifecycle.Increase system reliability, performance, and observability through rigorous monitoring, alerting, and troubleshooting.Implement infrastructure as code using Terraform for consistent and adaptable environments.Manage networking across the stack, including routing, firewalls, load balancing, and inter-cluster communication.Automate processes and enhance workflows using Python scripts and internal tools.Collaborate with engineering and ML teams to bolster product infrastructure, internal platforms, and compute-intensive workloads.Ideal Candidate:Possesses a strong background in cloud infrastructure, particularly AWS.Demonstrates expertise in Kubernetes and CI/CD practices.Is proficient in Python and Terraform.Exhibits a solid understanding of networking concepts.Thrives in a collaborative, fast-paced environment.
Apr 6, 2026
