# AI Inference Core - Senior SW Engineer for Platform & DevOps

**Company:** [Cerebras Systems](https://hotfix.jobs/companies/cerebras-systems)
**Location:** Unspecified
**Role:** DevOps / SRE
**Experience:** 5+ years
**Skills:** Python, shell, Kubernetes, AWS, Terraform, CI/CD, Docker, Linux, Helm, argo cd, DNS, tls, Monitoring, logging, Infrastructure As Code
**Posted:** 2026-07-27

> Build and operate the platform layer behind Cerebras engineering infrastructure, including CI/CD, Kubernetes, deployment automation, cloud and on-premises systems, developer environments, and observability. The role requires 5+ years of infrastructure or software engineering experience and strong debugging and systems fundamentals.

## Job Description

## Responsibilities
- Design, build, and maintain CI/CD systems supporting 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 that make infrastructure changes repeatable, reviewable, and safe.
- 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 rather than relying on repeated manual intervention.
- Partner with software, IT, security, networking, release, and developer-productivity 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 such as DNS, routing, load balancing, proxies, ports, TLS, and service connectivity.
- Proficiency in Python, Shell, or another language used to build 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.

## Nice-to-haves
- Experience with infrastructure-as-code tools, specifically Terraform.
- Experience with Kubernetes controllers, operators, custom resources, Helm, Argo CD, or similar platform technologies.
- 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 spanning cloud infrastructure, on-premises systems, and 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 a related field, or equivalent practical experience.

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