Senior Solution Engineer

We are seeking a highly skilled and adaptable Solutions Engineer to bridge the gap between complex cloud infrastructure technologies and real-world customer solutions. In this role, you will design, build, and implementation-test cutting-edge platform architectures that blend traditional virtualization with modern cloud-native ecosystems.

You will work closely with engineering teams and enterprise customers to architect, automate, and deploy resilient infrastructure stacks across bare-metal, virtualized, and containerized environments.

• Architecture Deployment: Design and implement robust infrastructure solutions leveraging both container orchestration (Kubernetes) and traditional cloud computing platforms (OpenStack).
• Infrastructure as Code (IaC): Automate the provisioning, configuration, and management of complex environments using Terraform and Ansible to ensure repeatable, error-free deployments.
• Hybrid Virtualization: Bridge the gap between legacy VMs and modern containers by deploying and managing KVM and Kube-virt solutions.
• Automation Scripting: Write clean, maintainable Python and Bash scripts to automate routine tasks, build internal tools, and integrate disparate systems.
• Infrastructure Management: Optimize and troubleshoot core compute resources, storage architectures, and networking layers to ensure high availability and performance.
• Technical Consultation: Act as a trusted technical advisor to stakeholders, translating complex infrastructure requirements into scalable engineering designs.

• Containerization Virtualization
• Kubernetes: Deep, production-grade experience with K8s orchestration, architecture, and ecosystem tools.
• OpenStack: Proven track record of deploying, configuring, and managing OpenStack components.
• KVM Kube-virt: Strong understanding of kernel-based virtual machines (KVM) and experience running traditional virtual machines inside Kubernetes clusters using Kube-virt.
• Automation IaC
• Scripting: Proficiency in Python and Bash for system automation and tool development.
• Infrastructure as Code: Hands-on experience with Terraform (for provisioning) and Ansible (for configuration management).
• Core Infrastructure
• Compute: In-depth knowledge of physical/virtual compute resource management and optimization.
• Storage: Strong understanding of storage technologies, including Storage Area Networks (SAN) and local disk technologies (NVMe, SSD, RAID configurations).
• Networking: Solid foundation in networking concepts, specifically Layer 2 (L2) and Layer 3 (L3) protocols, switching, routing, and software-defined networking (SDN).