Quick Overview
Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
18 hours ago
DockerAWSAnsibleBashGitHub ActionsGitLab CIGoogle CloudJenkinsKubernetesLDAPPythonTerraform
Job Description
Position: Linux systems engineer
Location: Remote
Duration: 12+ months
Location: Remote
Duration: 12+ months
Top skills:
- Linux: 10+ years of deep systems engineering experience working with RPM-based Linux distributions.
- Infrastructure as Code: Experience automating end-to-end multi-tier infrastructure configurations and managing centralized deployments. Experience with more than one configuration management system is a bonus.
- Virtualization and Container Architecture: Deep understanding of virtualization and container internals (e.g., Docker, Podman, Kubernetes, MicroVMs), including trade-offs between technologies. Demonstrated ability to design and build scalable container infrastructure from scratch, including registry management, custom image development, and layer optimization.
- Scripting & Tooling: Proficiency in at least one modern language (Python, Bash, or Go) for infrastructure automation, tooling development, and API integrations.
- Networking Fundamentals: Deep operational understanding of OSI layers, TCP socket states, MTU optimization, packet captures (tcpdump, wireshark), and modern physical or software-defined networking (SDN).
Description:
We are seeking a Linux Systems Engineer to join our Infrastructure Engineering team, dedicated to supporting high-performance EDA compute farms. You will be responsible for designing, deploying, and maintaining enterprise-grade Linux environments across RPM-based distributions, optimized for the high-throughput requirements of EDA workloads. You will drive automation initiatives, and build robust tooling to support a highly available and scalable infrastructure.
- Maintain, tune, and secure mission-critical Linux operating systems across production and non-production environments.
- End-to-End Automation: Lead infrastructure configuration management and continuous deployment workflows using Infrastructure as Code, e.g. Ansible and Terraform.
- Tooling Development: Write high-quality, maintainable code in Python, Bash, or Go to automate repetitive operational tasks and integrate infrastructure telemetry.
- Naming & Storage Services: Manage Linux Naming Services (LDAP/SSSD) and networked storage (NFS, Autofs) environments to support high-performance EDA workloads.
Additional Skills & Qualifications:
- Experience with CI/CD integration pipelines (GitLab CI, GitHub Actions, or Jenkins) for infrastructure artifacts.
- Relevant industry certifications (e.g., RHCE, CKA).
- Proven experience managing Google Cloud Platform and AWS compute services
- Experience with using LLMs to build and manage infrastructure
- Prior experience supporting EDA toolchains (e.g., Synopsys, Cadence) and high-performance compute clusters (e.g. exposure to LSF and Slurm environments a bonus)
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