Senior HPC Systems and Cloud Engineer

purpose of the job: Lead the design, deployment, and operation of scalable, secure HPC and AI infrastructure across on-premise and cloud environments, serving as the senior technical authority and escalation point for multiple client projects. Mentor and manage a team of systems engineers while owning client relationships, project delivery, and pre-sales support to ensure SLA adherence and long-term account growth. Requirements : B.Sc. in Computer and/or Communications Engineering or similar degree that provides a strong knowledge of computer science. 3 – 6 years of hands-on experience in Linux systems engineering, HPC, cloud solution architect or infrastructure/DevOps roles, including experience leading engineers or technical workstreams. Basic Qualifications: Technical: Expert knowledge of Linux/Unix based systems administration and internals Proven hands-on experience with Kubernetes in production (deployment, upgrades, networking, storage, RBAC, Helm) and container technologies (Docker, containerd) Strong experience with configuration management and IaC tools (Ansible, Puppet, Terraform) Strong programming concepts and scripting skills [bash - python] Good knowledge of IP Networks (TCP/IP, VLANs, routing, DNS, load balancing) Experience with monitoring and observability tools Excellent troubleshooting capabilities & problem-solving skills with a structured, root-cause approach Leadership & Management: Demonstrated experience leading, mentoring or supervising engineers Ability to delegate, prioritize and make sound technical decisions under pressure Basic knowledge of project management concepts (scope, planning, risk, stakeholder management) and methodologies (Agile/Scrum, Waterfall) Basic understanding of account management: managing client expectations, relationship building and identifying client needs Ability to explain technical topics clearly to non-technical stakeholders Personal: We are looking for candidates who are smart, passionate, hard workers, with a high ability of self-learning, and who feel comfortable working on the edge of the unknown. Strong sense of ownership and accountability; leads by example Customer-oriented mindset with professional and diplomatic client handling Excellent oral and written communication and presentation skills Excellent oral and written English skills. Candidates are ready to travel 50% of the time in the GULF region. Following will be considered as a plus: Kubernetes certifications (CKA, CKAD, CKS) Experience with GPU clusters and AI/ML infrastructure (e.g., NVIDIA GPU Operator, CUDA, DGX systems) Good knowledge of Virtualization technologies (i.e VMware, KVM, OpenStack) Good knowledge of Cloud Computing platforms/technologies (AWS, GCP, Azure,...) including managed Kubernetes (EKS, GKE, AKS) Project management or Agile certifications (PMP, CAPM, Scrum Master) Linux certifications (e.g., RHCE) and familiarity with ITIL / IT service management practices Experience with HPC environments: job schedulers (Slurm, PBS), parallel file systems, MPI and high-speed interconnects (InfiniBand) Experience/ knowledge with AI and Agentic AI fundamentals Show more