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Gcore is currently seeking a DevOps Engineer specializing in Cloud AI as a Service (AIaaS). This position is categorized as full-time and offers the unique opportunity to work remotely from anywhere in the world. The role is crucial for maintaining and enhancing the infrastructure that supports AI workloads, making it ideal for tech-savvy professionals who are passionate about innovative technology.
Gcore is a leading provider of infrastructure and software solutions for AI, cloud, network, and security services. With over 210 edge locations and more than 50 cloud regions worldwide, Gcore ensures that digital experiences are fast, reliable, and secure. The company operates alongside prestigious partners such as Intel, NVIDIA, Dell, and Equinix, making it a key player in the digital ecosystem.
As a DevOps Engineer at Gcore, you will be involved in:
Designing, developing, and maintaining infrastructure to support AI inference workloads in on-premises environments.
Building and managing tools for monitoring and observability, which includes creating dashboards, alerts, and runbooks for model health and system performance metrics.
Collaborating with Machine Learning (ML) engineers and platform teams to craft effective system architectures for AI workloads and ensure optimal performance at scale through rigorous testing.
To successfully apply for this role, candidates should possess:
Containerization and Container Orchestration knowledge, specifically with Kubernetes, Helm, and Docker/CRI-O.
Proficiency in Linux system administration and networking.
Strong programming skills in languages such as Python, Go, or Bash.
Experience with the Infrastructure as Code (IaC) approach using tools like Ansible and Terraform.
Capability to create CI/CD pipelines with platforms such as GitLab or GitHub actions and familiarity with advanced technologies like Cluster API.
In-depth understanding of Kubernetes CNI, CSI, and Operators is essential.
Although not mandatory, the following are advantageous:
Familiarity with Kubernetes-related technologies including ArgoCD and Helmfile.
Experience with the Prometheus stack for monitoring and observability.
Knowledge of additional Cloud Native technologies.
Gcore emphasizes employee well-being, offering an array of benefits to facilitate work-life balance and personal growth:
A competitive compensation package, indicating that salary will be attractive, although specific figures are not disclosed in the job listing.
Flexible working hours, with options for hybrid or fully remote work, depending on the role.
Work-from-anywhere policy allows employees to be remote for up to 45 days per year.
Private medical insurance coverage for employees and their families, alongside additional paid vacation and sick leave days.
Support for life’s significant moments, through celebrations and care initiatives noted as beneficial moments by the organization.
Language courses designed to promote personal and professional development.
Access to modern and welcoming office spaces, alongside snacks, drinks, and entertainment initiatives.
Team-building sports and social activities, promoting a sense of community among employees.
Gcore is committed to equal opportunity employment, allowing applicants from diverse backgrounds to apply without bias towards race, color, religion, sex, sexual orientation, age, gender identity, gender expression, national origin, or disability. This means that Gcore actively seeks to cultivate a diverse and inclusive workplace.
For job seekers looking to advance their careers in the evolving field of DevOps and AI infrastructure, this opportunity at Gcore offers a compelling mix of innovation, competitive benefits, and global reach. The chance to join a team dedicated to connecting the world with AI through robust and scalable infrastructure is both exciting and promising for potential candidates. With its focus on employee well-being and professional development, Gcore represents a solid choice for skilled individuals in the tech industry.
This job offer was originally published on weworkremotely.com
April 16, 2026
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This job offer summary has been generated using automated technology. While we strive for accuracy, it may not always fully capture the nuances and details of the original job posting. We recommend reviewing the complete job listing before making any decisions or applications.
