We're looking for a passionate senior software engineer that will focus on the design, development, and management of Kubernetes operators and resources, while supporting the broader DevOps infrastructure. THE ROLE: This role requires both deep hands-on knowledge of Kubernetes and strong operational experience to ensure high availability, security, and performance of critical systems. You will be responsible for maintaining, scaling, and enhancing Kubernetes clusters, building operators to automate complex processes, and supporting CI/CD pipelines. KEY RESPONSIBILITIES: Kubernetes Operator Development: Design, develop, and maintain custom Kubernetes operators to automate workflows, manage complex applications, and improve system resilience. Manage lifecycle of operators, including updates, testing, and performance optimization. Kubernetes Cluster Management: Deploy, configure, and maintain highly available Kubernetes clusters across cloud environments (e.g., AWS, GCP, Azure) and/or on-premises, including hybrid clusters. Optimize cluster performance, capacity planning, and scaling based on resource usage. Implement security best practices, including RBAC, Pod Security Policies, and network policies to ensure secure deployments. CI/CD Pipeline Integration: Collaborate with development teams to design, implement, and optimize CI/CD pipelines, ensuring smooth deployment of containerized applications. Use GitHub Actions to automate build, test, and deploy processes for containerized applications. Monitoring and Incident Management: Set up monitoring, logging, and alerting systems (e.g., Prometheus, Grafana) to maintain visibility into system health. Implement automated recovery procedures and troubleshoot incidents to minimize downtime and ensure system reliability. Scripting and Infrastructure Automation: Develop and maintain infrastructure-as-code/data (IaC) using Crossplane for consistent, scalable deployments. Write scripts and tools (Python, Bash, Go) to automate routine tasks, enhance cluster functionality, and support development. PREFERRED EXPERIENCE: Solid experience in running operations in production; scaling and reliability issues trouble-shooting Building tooling CI/CD (GitHub actions/workflows an extra plus) Desire and ability to quickly acquire broad high-level intuition of AI systems and solutions Initiative, pragmatic problem solving, and great collaboration skills ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent #LI-DB1 #LI-HYBRID
Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.
Tags: No, EUR €80,360.00/Yr., EUR €114,800.00/Yr., Global Careers (do not use for US or Canada)
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