$100K - 140K a year
Design, implement, and maintain containerized infrastructure and automation pipelines to improve system reliability and developer productivity.
3+ years Linux experience, 1+ year Kubernetes and container tech, scripting skills in Go/Python/Bash, CI/CD pipeline expertise, and cloud platform familiarity.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a DevOps Engineer in United States. This role offers the opportunity to design, operate, and optimize next-generation infrastructure solutions supporting diverse application environments, including cloud, on-premises, and containerized platforms. You will work closely with a geographically distributed team to improve the reliability, scalability, and efficiency of development and production systems. The DevOps Engineer will focus on automation, continuous integration/deployment pipelines, and virtualization/container strategies to enhance developer productivity and platform performance. You will also participate in code reviews, implement operational best practices, and contribute to shaping the infrastructure roadmap. This position encourages innovation, collaboration, and a proactive approach to problem-solving, providing a direct impact on operational excellence and technology evolution. Remote work is supported, with occasional on-site collaboration required. Accountabilities: Design, implement, and maintain infrastructure solutions including RedHat OpenShift, Kubernetes, and KubeVirt environments. Develop and maintain automation for provisioning, deployment, Day-2 operations, decommissioning, and migration. Manage namespaces, permissions, and configuration of containerized and virtualized environments. Collaborate with engineering teams on code standards, architecture, and technical designs. Participate in code reviews, troubleshooting, and incident resolution to ensure system reliability and performance. Optimize CI/CD pipelines using tools such as Tekton, Argo, GitHub Actions, or Jenkins. Monitor infrastructure using tools like Prometheus and Grafana to track system health and performance metrics. Document runbooks, disaster recovery plans, and platform architecture to support operational continuity. Bachelor’s degree in Computer Science, Mechanical Engineering, or a related technical field. 3+ years of Linux experience across multiple platforms (RHEL, Ubuntu, SUSE). 1+ years of hands-on experience with Kubernetes and KubeVirt, virtualization, and container technologies. 1+ years of experience with cloud-based PaaS and IaaS environments; GCP or Azure preferred. 2+ years of experience with Git and CI/CD pipelines. Proficiency in at least one programming or scripting language (Go, Python, Bash preferred). Experience with monitoring tools such as Prometheus and Grafana. Strong understanding of RESTful APIs, JSON formats, and application deployment methodologies. Familiarity with IT automation tools like Terraform, Ansible, or Chef is a plus. Knowledge of network load balancers, VMware, or enterprise-scale infrastructure is advantageous. Excellent communication, collaboration, and problem-solving skills; ability to work independently and in distributed teams. Demonstrated ability to mentor and lead small teams on technical initiatives. Competitive salary with flexible work arrangements. Immediate medical, dental, and prescription drug coverage. Parental leave, family care programs, and subsidized backup childcare. Vehicle purchase discounts and management lease options. Tuition assistance and professional development opportunities. Paid time off, paid holidays, and option to purchase additional vacation time. Active employee resource groups and community service opportunities. Flexible, inclusive, and collaborative workplace culture. 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. 🎯 The top 3 candidates with the highest match are automatically shortlisted. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is overlooked. The process is transparent, skills-based, and unbiased, focusing solely on your fit for the role. Once the shortlist is completed, it is shared with the hiring company, who then determines next steps such as interviews or additional assessments. Thank you for your interest! #LI-CL1
This job posting was last updated on 10/21/2025