Jobgether

Compensation

Full Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a DevOps Engineer - Infrastructure & Cloud Platforms in the United States. We are seeking a skilled DevOps Engineer to design, implement, and maintain resilient, high-performance on-premises cloud and infrastructure platforms. This role focuses on building scalable systems that support complex workloads, including GPU-intensive rendering and AI/ML pipelines, while optimizing operational efficiency. The successful candidate will collaborate across engineering, creative, and security teams to deliver robust solutions, automate deployment workflows, and ensure system reliability. You will also drive the adoption of infrastructure-as-code practices, implement CI/CD pipelines, and monitor system performance in a dynamic, fast-paced environment. This role offers the opportunity to work with cutting-edge tools and technologies, contributing directly to mission-critical infrastructure that powers creative production. Accountabilities Design, build, and manage on-premises cloud and virtualization platforms, including Kubernetes and OpenNebula. Deploy, monitor, and optimize containerized workloads, including GPU-heavy applications. Implement and maintain CI/CD pipelines for software and creative workflows. Automate provisioning and configuration using Terraform, Ansible, and Packer. Set up, configure, and maintain physical infrastructure, including servers, storage, and networking equipment. Administer Linux and Windows environments across infrastructure systems. Monitor system health and performance using tools such as Prometheus, Grafana, and ELK. Maintain backup, restore, and disaster recovery processes. Ensure secure data handling, encryption, and access control in line with compliance standards. Document processes, runbooks, and system architectures; provide technical support and troubleshooting. 3+ years of experience in DevOps or infrastructure engineering. Strong Linux and Windows administration skills across multiple distributions. Hands-on Kubernetes experience: cluster setup, configuration, management, and optimization. Proficiency with infrastructure-as-code tools, including Terraform, Ansible, and Packer. Familiarity with on-prem cloud platforms such as OpenNebula. Experience with physical infrastructure setup (servers, storage, networking) and software-defined networking. Scripting experience in Python and Bash. Understanding of CI/CD principles and pipeline design. Ability to work in fast-paced, creative environments and collaborate with cross-functional teams. Preferred Skills: Experience with GPU orchestration and AI/ML pipelines. Knowledge of creative software tools (Deadline, Nuke, Houdini, Maya). Containerized GUI applications or remote app deployment experience. Background in VFX, gaming, architecture, or scientific computing. Open-source contributions or community involvement. Competitive salary ($130k–$145k DOE). Remote work flexibility. Professional development and hands-on experience with cutting-edge infrastructure technologies. Opportunity to work on GPU-intensive and AI-enhanced workloads. Collaborative, cross-functional, and innovative work environment. Exposure to high-performance rendering and creative production pipelines. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, it is shared directly with the hiring company, who will manage the final selection steps, including interviews and additional assessments. Thank you for your interest! #LI-CL1