AI Inference Core - Senior SW Engineer for Platform & DevOps
Cerebras Systems6 days ago
Responsibilities
- Design, build, and maintain CI/CD systems for build, test, integration, qualification, and release workflows.
- Build and operate Kubernetes-based platforms and services used by 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 across CI pipelines, Kubernetes workloads, networking, storage, authentication, operating systems, and distributed applications.
- Perform root-cause analysis and implement durable fixes instead of repeated manual intervention.
- Partner with software, IT, security, networking, release, and developer-productivity teams on 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 with Kubernetes and containerized environments.
- Experience with a major cloud platform, preferably AWS, and programmatic infrastructure provisioning.
- Strong Linux or Unix operating-system fundamentals and networking knowledge.
- Proficiency in Python, Shell, or another language used 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.
- Preferred experience includes Terraform, Kubernetes controllers and operators, custom resources, Helm, Argo CD, artifact repositories, package registries, build caches, reproducible builds, hybrid environments, identity and access management, secrets, certificates, TLS, mTLS, and internal developer platforms.
- BS/MS in Computer Science or a related field, or equivalent practical experience.
Benefits
- Opportunity to work on Cerebras’s AI platform and one of the fastest AI supercomputers.
- Opportunities to publish and open source AI research.
- Job stability with startup vitality and a non-corporate work culture.
- Cerebras is committed to an equal and diverse work environment with continuous learning, growth, and support.
About Cerebras Systems
Cerebras Systems designs and sells AI compute systems built around its wafer-scale WSE-3 processor, delivered as the CS-3 appliance and via the Cerebras Cloud. It targets enterprises, model labs, and government users needing fast training and inference, and offers on‑prem and cloud deployments. Privately held and headquartered in Sunnyvale, California, the company announced a multi-year partnership with OpenAI to deploy large-scale inference capacity.