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VAST Data

Senior Solutions Engineer

VAST Data

. Understand customer technical requirements, business challenges, workloads, and existing infrastructure .

Posted 10/18/2026full-timeTel Aviv • IsraelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing scalable, high-performance storage solutions using VAST technologies, with a strong focus on customer requirements and enterprise infrastructure. Proficient in troubleshooting complex technical issues across various environments, including cloud and Kubernetes, while maintaining effective communication and collaboration with cross-functional teams.

Highest-signal resume keywords
Solutions EngineeringEnterprise Storage TechnologiesKubernetesAWS, Azure, GCPTechnical Documentation

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
NFSSMBS3LinuxWindowsVMware vSphereMicrosoft Hyper-VActive DirectoryPerformance BenchmarkingData Protection Architectures
Soft Skills
Interpersonal SkillsProblem-Solving MindsetAnalytical Decision-MakingCross-Functional CollaborationCommunication Skills
Tools & Technologies
KubernetesRed Hat OpenShiftTerraformAnsiblePythonBashPowerShellCloud EnvironmentsHybrid ArchitecturesPerformance Engineering
Industry Keywords
Enterprise InfrastructureData Center ArchitecturesCloud SolutionsHigh-Performance NetworkingAI/ML Infrastructure

Tech Stack

Tools & technologies
AnsibleAWSAzureCloudGoogle Cloud PlatformKubernetesLinuxNFSOpenShiftPythonTerraformVMware

About the role

Key responsibilities & impact
  • Understand customer technical requirements, business challenges, workloads, and existing infrastructure
  • Design scalable, high-performance solutions based on customer needs and VAST technologies
  • Build and present technical demonstrations, Proofs of Concept, reference architectures, and prototypes
  • Translate requirements into technical designs, implementation plans, and specifications
  • Deploy, configure, test, and validate VAST storage in customer, cloud, and laboratory environments
  • Deploy and troubleshoot VAST solutions across Kubernetes, OpenShift, public and hybrid cloud, and virtualized environments
  • Execute performance benchmarking, analyze workload bottlenecks, and optimize storage performance
  • Analyze customer architectures and recommend improvements, optimizations, and integration strategies
  • Troubleshoot complex infrastructure, application, networking, storage, cloud, and Kubernetes issues
  • Act as a technical escalation point and collaborate with Engineering and Support to resolve issues
  • Develop tools, automation, and best practices to prevent recurring technical challenges
  • Create documentation, implementation guides, reference architectures, and troubleshooting procedures
  • Partner with Sales and Business Development during technical evaluations and strategic opportunities
  • Share customer requirements and field feedback with Product Management and Engineering
  • Research emerging technologies and evaluate integration with VAST solutions
  • Develop reusable assets, automation scripts, demos, and reference environments
  • Refine methodologies for customer evaluations, performance testing, and technical enablement
  • Work closely with customers, partners, Sales, Engineering, Product Management, Support, and internal teams
  • Help customers understand VAST solutions and design architectures for complex enterprise environments

Requirements

What you’ll need
  • Proven experience in Solutions Engineering, Systems Engineering, Technical Consulting, or a customer-facing technical role
  • Strong understanding of enterprise infrastructure and modern data center architectures
  • Hands-on experience with enterprise storage technologies
  • Strong knowledge of NFS, SMB, and S3
  • Hands-on experience with AWS, Azure, and GCP, including networking, compute, storage, and hybrid architectures
  • Hands-on experience with Kubernetes, Red Hat OpenShift, CSI, container networking, and application deployment
  • Understanding of storage performance, including throughput, IOPS, latency, concurrency, and bottleneck analysis
  • Experience benchmarking, analyzing, and troubleshooting storage performance using standard tools
  • Proficiency with Linux and Windows operating systems
  • Experience with VMware vSphere and Microsoft Hyper-V
  • Working knowledge of Active Directory, authentication, and enterprise identity management
  • Experience with backup, disaster recovery, and data protection architectures
  • Strong troubleshooting skills across compute, storage, networking, virtualization, Kubernetes, and cloud layers
  • Ability to quickly learn new technologies and adapt to complex customer environments
  • Ability to manage multiple projects and customer engagements simultaneously
  • Ability to explain complex technical concepts to technical and non-technical audiences
  • Strong technical documentation and communication skills
  • Excellent interpersonal and cross-functional collaboration skills
  • Sound technical judgment with analytical decision-making ability
  • Advantageous experience in AI/ML infrastructure and GPU environments, HPC, hybrid-cloud and multi-cloud architectures, high-performance networking, RDMA, NVMe over Fabrics, Kubernetes storage architectures, Python, Bash, PowerShell, Terraform, Ansible, databases, analytics platforms, large-scale enterprise storage, performance engineering, workload characterization, and benchmarking
  • Strong customer orientation and problem-solving mindset
  • Ability to work independently and collaborate with local and global teams

Benefits

Comp & perks
  • Remote work arrangement indicated
  • Opportunity to work on AI-era enterprise data infrastructure
  • Collaboration with global teams
  • Exposure to customer, cloud, data center, edge, Kubernetes, and AI infrastructure technologies