Senior Openstack Engineer

Senior Openstack Engineer

As a Senior Openstack Engineer, you will lead the architectural design, deployment, and optimization of advanced private cloud infrastructures. Building upon our core delivery of High-Performance Computing (HPC) clusters and Generative Artificial Intelligence (GenAI) platforms, you will serve as a senior technical authority on cloud networking and OpenStack environments. Both HPC and GenAI clusters are deployed as OpenStack clouds and make use of container orchestration with Kubernetes (over OpenStack or on baremetal). You will tackle complex network topologies, Software-Defined Networking (SDN), and highly available, at-scale OpenStack deployments. You will join the Tech Factory team which is dedicated to technology scouting (hardware & software), development of cluster deployment solutions from infrastructure to applications, and Operational Data Analytics; you will work within the Infrastructure sub-team (lead by the Principal Engineer) and work to integrate cutting-edge network and hardware technologies into E4’s enterprise and academic offerings.

Key Responsibilities:

• Advanced Cloud & Network Architecture: Design, architect, and optimize complex OpenStack environments with a heavy emphasis on advanced networking (Neutron, OVN/OVS, SR-IOV, DPDK) to support high-throughput HPC and GenAI workloads.
• Infrastructure Leadership: Act as one of the technical reference points for cloud, network, and infrastructure installations, escalating beyond standard deployment to handle custom, high-performance architectural requirements.
• R&D and Pre-sales Support: Collaborate with the Presales team for cloud solution design and network architecture, and partner directly with major vendors for the implementation of new solutions in production.
• Automation & IaC Mastery: Develop and maintain advanced Infrastructure as Code (IaC) pipelines using Terraform/OpenTofu and Ansible to automate the lifecycle management of complex network and server infrastructures.
• Cross-Functional Collaboration: Serve as a multi-relational point of contact across all team members, providing technical training and assisting with the development and production infrastructure. Provide support and assistance to the Support (Support Manager) and Deploy (PMO) teams on complex projects.

Qualifications & Educational Background

• Education: Master’s degree or Ph.D. in Computer Science, Telecommunications Engineering, Network Engineering, or a strictly related STEM field.
• Experience: 5+ years of demonstrable, hands-on engineering experience in cloud architecture, network engineering, and complex systems.
• Nice to Have (Bonus): Familiarity with the High-Performance Computing (HPC) ecosystem and scientific computation.

Core Technical Skills

• OpenStack & Virtualization: Deep, expert-level proficiency in OpenStack architecture and administration (specifically Neutron, Nova, and Ironic).
• Advanced Networking: Strong command of network protocols (BGP, OSPF), Spine-Leaf architectures, and Software-Defined Networking (SDN).
• Linux & Systems Administration: Expert-level Linux system administration (Rocky Linux, RHEL, Ubuntu, SLES) and deep knowledge of containerization platforms (Docker, Podman, Singularity).
• Scripting & Programming: Proficiency in automating complex tasks using Bash, Python, or Golang.
• Observability: Advanced implementation of telemetry, alerting, and logging tools (Prometheus, AlertManager, Grafana, OpenSearch) for highly distributed networks.
• Container Orchestration: Experience with Kubernetes (bare-metal and over OpenStack), particularly focusing on deploying and orchestrating GPU-accelerated workloads is a welcome bonus.

Soft Skills & Additional Requirements

• Technical Leadership: Ability to produce high-level technical documentation and internal Knowledge Base (KB) materials, and mentor junior staff.
• Problem-Solving: Elite ability to troubleshoot complex network bottlenecks, hardware integrations, and cloud infrastructure issues.
• Client & Vendor Interaction: Experience working directly with academic researchers, enterprise IT leaders, and hardware vendors.
• Flexibility: Willingness to travel to customer sites for critical project kick-offs or complex deployments or attend in person training and international events.

What Success Looks Like (First 6 Months)

• Months 1-2: Audit the current cloud and network architecture, integrate smoothly into the Infrastructure sub-team, and align with Tech Factory projects and with E4 business.
• Months 3-6: Take definitive technical autonomy of complex OpenStack deployment and troubleshooting, collaborate to development of standardized Infrastructure as Code (IaC) pipelines, help bridging the technical gap seamlessly between teams.

Why E4 Computer Engineering?

E4 Computer Engineering designs and implements very high-tech solutions for HPC Clusters, Cloud, Data Analytics, Artificial Intelligence and Hyper-Converged Infrastructure for Academic and Enterprise markets. For years, the company has collaborated with leading nationally and internationally research centers and is involved in national and European-level projects in HPC and AI. E4 continuously explores future scenarios to find practical and innovative solutions to complex computational demands and new application areas, anticipating technological transformation and providing reliable solutions in sophisticated contexts. E4 has a growing turnover of €55M with 80 employees.

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