AI Inference Core - Senior SW Engineer for Platform & DevOps
Remote • Sunnyvale, CA • FullTime
Posted 1mo ago
Job Location
Sunnyvale, CA
Tech Stack
Remote Work Policy
Fully remote
Employment Type
FullTime
Categories
AI Infrastructure Engineer
About the job
Cerebras Systems is seeking a Senior Software Engineer to build and operate the platform layer behind their engineering infrastructure. This role focuses on designing, building, and maintaining CI/CD systems, Kubernetes-based platforms, and deployment automation. You will work on cloud and on-premises infrastructure, developer environments, artifact management, and observability, ensuring these systems are reliable, scalable, and easy to operate. This is an engineering-focused role where you will automate repetitive tasks, debug complex issues across system boundaries, and drive durable software and platform improvements.
Responsibilities
- Design, build, and maintain CI/CD systems for build, test, integration, qualification, and release workflows.
- Build and operate Kubernetes-based platforms and services for internal engineering teams.
- Develop deployment systems, internal tools, and self-service workflows for repeatable and safe infrastructure changes.
- Improve infrastructure reliability, capacity, performance, cost efficiency, monitoring, and operational readiness.
- Debug issues spanning CI pipelines, Kubernetes workloads, networking, storage, authentication, operating systems, and distributed applications.
- Perform root-cause analysis and implement lasting fixes for operational problems.
- Partner with cross-functional teams to deliver scalable infrastructure solutions.
Requirements
- 5+ years of professional experience in platform engineering, DevOps, infrastructure engineering, site reliability engineering, or software engineering.
- Hands-on experience building or maintaining CI/CD pipelines and automated software-delivery workflows.
- Experience deploying and operating services using Kubernetes and containerized environments.
- Experience with a major cloud platform (preferably AWS) and programmatic infrastructure provisioning.
- Strong understanding of Linux or Unix operating-system fundamentals.
- Understanding of networking concepts (DNS, routing, load balancing, proxies, ports, TLS, service connectivity).
- Proficiency in Python, Shell, or another language for infrastructure automation and operational tooling.
- Experience with monitoring, logging, alerting, dashboards, and incident investigation.
- Strong debugging and problem-solving skills across applications, infrastructure, networking, and operating systems.
- Experience with infrastructure-as-code tools (e.g., Terraform).
- Experience with Kubernetes controllers, operators, custom resources, Helm, Argo CD, or similar.
- Experience managing artifact repositories, package registries, build caches, or software-distribution infrastructure.
- Familiarity with build systems, dependency management, and reproducible-build practices.
- Experience supporting hybrid environments (cloud, on-premises, specialized hardware).
- Experience with identity and access management, secrets, certificates, TLS, or mTLS.
- Experience building internal developer platforms or self-service infrastructure products.
- BS/MS in Computer Science or related field, or equivalent practical experience.
Benefits
- Build a breakthrough AI platform beyond the constraints of the GPU.
- Publish and open source cutting-edge AI research.
- Work on one of the fastest AI supercomputers in the world.
- Job stability with startup vitality.
- Simple, non-corporate work culture that respects individual beliefs.