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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Cluster Operations Software Engineer - **Company:** Cerebras Systems - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Command-Line Interface, Software Debugging, Linux, Distributed Systems, Ethernet, Python (Programming Language), Linux System Administration, Machine Learning, Software Systems, Systems Integration, TCP/IP, AI Infrastructure, Google Cloud, Cloud Platform System, High Performance Computing, Break Fix, Containerization, Kubernetes, Multiaccess Edge Computing, Docker - **Published:** September 4, 2026 - **Apply:** https://startup.jobs/cluster-operations-software-engineer-cerebras-ai-8998167 ## About the Role * 6-8 years of relevant experience in managing and operating complex compute infrastructure, preferably in the context of machine learning or high-performance computing. * Proficient in Python and Go, with experience building operational platforms, workflow automation systems, and reliability tooling for large-scale infrastructure environments. * Experience and Expertise in distributed systems is a must. * Deep understanding of Linux-based compute systems and command-line tools. * Extensive knowledge of Docker containers and container orchestration platforms like k8s. * Proven ability to troubleshoot and resolve complex technical issues in a timely and efficient manner. * Experience with monitoring and alerting systems. * Should have a proven track record to own and drive challenges to completion. * Excellent communication and collaboration skills. * Ability to work effectively in a fast-paced environment. * Willingness to participate in a 24/7 on-call rotation. Preferred Skills And Requirements * Operating and Managing large scale AI clusters. * Knowledge of technologies like Ethernet, RoCE, TCP/IP, etc. is desired. * Knowledge of cloud computing platforms (e.g., AWS, GCP, Azure). ## Description We are seeking a highly skilled and experienced AI Cluster Operations Engineer to manage and operate our cutting-edge machine learning compute clusters. These clusters would provide the candidate with an opportunity to work with the world's largest computer chip, the Wafer-Scale Engine (WSE), and the systems that harness its unparalleled power. You will play a critical role in ensuring the health, performance, and availability of our infrastructure, maximizing compute capacity, and supporting our growing AI initiatives. This role requires a deep understanding of Linux-based systems, containerization technologies, and experience with monitoring and troubleshooting complex distributed systems. The ideal candidate is a proactive problem-solver with expertise in large-scale compute infrastructure, dependable and an advocate for customer success. Responsibilities * Deploy, configure, and debug container-based services using Docker. * Build and own software solutions that power cluster operations, including monitoring platforms, workflow automation systems, operational dashboards, and reliability tooling. * Collaborate with cross-functional teams to translate operational requirements into scalable O&M products and platform capabilities. * Develop APIs, automation services, and integrations that improve operational visibility, incident response, and fleet management across global AI infrastructure. * Manage and operate multiple advanced AI compute infrastructure clusters. * Monitor and oversee cluster health, proactively identifying and resolving potential issues. * Maximize compute capacity through optimization and efficient resource allocation. * Provide 24/7 monitoring and support, leveraging automated tools and performing hands-on troubleshooting as needed. * Handle engineering escalations and collaborate with other teams to resolve complex technical challenges. * Stay up-to-date with the latest advancements in AI compute infrastructure and related technologies. ## Related Videos - [Docker network without Docker](https://www.wearedevelopers.com/videos/1418-docker-network-without-docker) - [An Applied Introduction to eBPF with Go](https://www.wearedevelopers.com/videos/1075-an-applied-introduction-to-ebpf-with-go) - [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) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Turning Container security up to 11 with Capabilities](https://www.wearedevelopers.com/videos/718-turning-container-security-up-to-11-with-capabilities) - [Docker exec without Docker](https://www.wearedevelopers.com/videos/1094-docker-exec-without-docker) ## Related Articles - [7 Cloud Computing Trends Coming in 2025 for Developers](https://www.wearedevelopers.com/magazine/412-7-cloud-computing-trends-coming-in-2025-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [Got AI ideas but no money? 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