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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Inference Core - SW Engineer Lead for Platform & DevOps - **Company:** Cerebras Systems - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Amazon Web Services, Proxy Servers, Computing Platforms, Systems Engineering, User Authentication, Unix, Cloud Computing, Computer Networks, Continuous Integration, Software Debugging, Linux, DevOps, Programming Tools, Distributed Systems, Domain Name System (DNS), Identity and Access Management, Python (Programming Language), Automation of Marketing, Routing, Octopus Deploy, Reliability Engineering, Software Engineering, Software Systems, Data Logging, Load Balancing, Cloud Platform System, Concurrency, Caching, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, Build Tools, Hardware Infrastructure, Terraform - **Published:** July 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9f9b76428729ce64 ## About the Role * 3+ 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, including the ability to investigate issues spanning applications, infrastructure, networking, and operating systems. Preferred Skills & Qualifications * 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. ## Description The Core Infrastructure team builds the software systems that power engineering workflows across Cerebras. Our infrastructure coordinates complex work across machines, clusters, development environments, and hardware systems. We build orchestration frameworks, execution engines, scheduling systems, test infrastructure, developer tools, and reusable software platforms that allow engineers to build, test, qualify, and deliver software reliably at scale. These systems are primarily built in Python, but the work goes far beyond scripting or automation. Our frameworks act as the control plane for distributed workflows, managing resources, execution state, concurrency, failures, retries, dependencies, and observability across large and complex environments., We are hiring a Software Engineer to build and operate the platform layer behind Cerebras engineering infrastructure. You will work on CI/CD systems, Kubernetes, deployment automation, cloud and on-premises infrastructure, developer environments, artifact management, and observability. You will help make the systems engineers depend on reliable, scalable, and easy to operate. This is an engineering-focused infrastructure role rather than a primarily ticket-driven operations position. You will automate repeated work, debug failures across system boundaries, and turn operational problems into durable software and platform improvements. We value strong systems fundamentals, independent problem solving, and sound engineering judgment more than familiarity with any particular infrastructure product., * 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 across Cerebras. * 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. ## Related Videos - [WeAreDevelopers LIVE - Node and Package Security](https://www.wearedevelopers.com/videos/2138-wearedevelopers-live-node-and-package-security) - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [#90DaysOfDevOps - The DevOps Learning Journey](https://www.wearedevelopers.com/videos/548-90daysofdevops-the-devops-learning-journey) - [The Time Paradox: Building Timezone-Safe Python/Django Applications](https://www.wearedevelopers.com/videos/1915-the-time-paradox-building-timezone-safe-python-django-applications) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)