
Cloud-Based Systems Architect
1 week ago
Highly Skilled Engineer Wanted
We are looking for a highly skilled Senior DevOps Engineer to work on designing, deploying, and managing cloud-based systems.
Key Responsibilities:
- Linux System Administration: Manage and optimize Linux servers (RHEL, Ubuntu, or similar) to ensure high availability and scalability.
- Kubernetes Management: Deploy, maintain, and troubleshoot Kubernetes clusters to ensure seamless operation and continuous improvement.
- Data Center & Hardware Operations: Oversee physical infrastructure including servers, storage systems, and networking hardware in on-premises data centers.
- Security & Compliance: Apply updates and security patches to Linux-based Kubernetes environments and ensure alignment with internal security and compliance policies.
- Collaboration & Support: Work closely with global teams to support enterprise systems and Kubernetes clusters.
- Incident & Case Management: Effectively manage service tickets using tools such as ServiceNow or Salesforce.
Required Qualifications:
- Proven hands-on experience in Linux system administration (RHEL, Ubuntu, or equivalent). Certifications like RHCSA or RHCE are beneficial.
- Solid knowledge and practical experience in Kubernetes administration. Certifications like CKA or CKS are advantageous.
- Experience working with bare-metal infrastructure, including servers, storage arrays, and networking components.
- Good understanding of networking protocols and technologies such as TCP/IP, DNS, firewalls, and load balancers. Familiarity with Juniper OS is helpful.
- Strong troubleshooting skills across infrastructure layers including hardware, OS, and Kubernetes.
- Experience with automation tools like Ansible, Bash, or Python is beneficial.
- Knowledge of monitoring and observability tools such as Prometheus, Grafana, and ELK Stack is advantageous.
Soft Skills:
- Excellent communication and collaboration abilities to work with global teams.
- Strong problem-solving skills with a focus on reliability, scalability, and automation.
- Adaptability to fast-paced, evolving environments—especially those involving AI/ML technologies.
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