Operate, maintain, and monitor the global Content Delivery Network (CDN) infrastructure while responding to incidents through on-call rotations. Automate repetitive tasks and manage infrastructure as code repositories to improve system performance and availability.
Gcore
22 Remote Job Openings at Gcore
Provide first-line technical support via chat, email, and phone for products including Cloud, CDN, and AI. Perform technical diagnostics to resolve issues or escalate them to higher support levels.
Deploy and operate Linux-based infrastructure to support a global Edge Cloud platform. Automate infrastructure lifecycle management and improve platform reliability, scalability, and observability.
Deploy and operate Linux-based infrastructure to support a global Edge Cloud platform. Automate infrastructure lifecycle management and improve platform reliability, scalability, and observability.
Design, deploy, and maintain infrastructure for scalable and secure AI inference workloads in on-premises environments. Build monitoring tools and collaborate with ML engineers to optimize system architecture and performance at scale.
Design and maintain the Traffic Management System API and agents to manage global routing and traffic-steering. Develop BGP and Anycast routing capabilities while ensuring system reliability through automated failover and observability.
Deploy and maintain server infrastructure while diagnosing and resolving software and hardware issues. Enhance infrastructure lifecycle pipelines and execute planned maintenance for the Edge Cloud IaaS team.
Build and operate CI/CD pipelines in GitLab while managing container platforms using Kubernetes and Docker. Implement DevSecOps practices and improve system reliability through monitoring, alerting, and capacity planning.
Design, develop, and maintain automated test suites and frameworks for backend services and APIs. Integrate automated testing into CI/CD pipelines and collaborate with cross-functional teams to improve product reliability and scalability.
Design, develop, and maintain automated test suites and frameworks for backend services and APIs. Integrate automated testing into CI/CD pipelines and collaborate with cross-functional teams to improve product reliability and scalability.
Design, deploy, and maintain infrastructure for scalable and secure on-premises AI inference workloads. Build monitoring tools and collaborate with ML engineers to optimize system architecture and performance at scale.
Provide first-line technical support via chat, email, and phone for products including Cloud, CDN, and AI. Perform technical diagnostics to resolve issues or escalate them to higher support levels.
Design, deploy, and maintain infrastructure for scalable and secure on-premises AI inference workloads. This includes managing GPU scheduling, model deployment pipelines, and observability tools for system performance.
Provide first-line technical support via chat, email, and phone for products including Cloud, CDN, and AI. Perform technical diagnostics to resolve issues or escalate them to higher support levels.
Handle customer and internal requests via chat, email, and phone to provide technical consultations on Edge Network products. Conduct diagnostics to resolve incidents and identify patterns to suggest improvements for overall support capabilities.
Design and implement Kubernetes-native AI infrastructure and tooling for scalable inference and training workloads. Develop Go-based controllers, operators, and APIs to optimize GPU scheduling and serverless container workflows.
Handle customer and internal requests via chat, email, and phone to provide technical consultations for Edge Network products. Conduct diagnostics to resolve incidents, escalate complex issues, and suggest improvements to prevent recurring technical problems.
Act as the final escalation point for complex Cloud infrastructure issues, diagnosing and resolving advanced incidents across compute, storage, and networking. Coordinate high-severity incident resolution with Engineering and DevOps teams while mentoring L1 and L2 engineers.
Oversee the stability and reliability of global data center infrastructure systems to support product operations. Develop infrastructure strategies, manage budgets, and lead a team of operations engineers to ensure high system availability.
Build and maintain global relationships with colocation providers to source capacity for various infrastructure opportunities. Coordinate RFI/RFP processes and monitor market trends to support customer deployments and technical teams.
Build and operate CI/CD pipelines in GitLab and manage container platforms using Kubernetes and Docker. Implement DevSecOps practices and improve system reliability through monitoring, alerting, and capacity planning.
Lead the design, deployment, and maintenance of edge network infrastructure to ensure high availability and security. Mentor engineers and implement automation for system provisioning, monitoring, and configuration management.