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Solutions Engineer – Enterprise Compute
PragmatikeCore Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading enterprise customer onboarding and managing technical incidents while ensuring successful deployment of AI and cloud infrastructure solutions. Proficient in diagnosing complex issues and collaborating with cross-functional teams to enhance customer success.
Highest-signal resume keywords
Solutions EngineeringCloud InfrastructureNVIDIA GPU ExpertiseTechnical DemonstrationsProduction Infrastructure Management
Tech Stack
Tools & technologiesAbout the role
Key responsibilities & impact- Lead enterprise customer onboarding, including access, networking, storage, server handover, and initial workloads through production deployment
- Serve as the first technical point of contact for enterprise customers and diagnose issues before escalating them to SRE or Engineering
- Track technical incidents through resolution, provide context to internal teams, and coordinate communications
- Support pre-sales through technical discovery, solution design, sizing, demonstrations, and POCs
- Design and lead POCs with clear technical success criteria
- Debug customer workloads, including inference and multi-GPU workloads
- Proactively monitor account health, identify technical risks, communicate incidents and RCAs, track availability, and detect potential issues
- Collaborate with Account Management, Product, SRE, and Engineering
- Identify recurring technical issues and improve onboarding and operational processes
- Become the technical point of reference for a portfolio of enterprise customers and support them through sustained success in production
Requirements
What you’ll need- 5+ years of experience as a Solutions Engineer, Solutions Architect, Technical Account Manager, or in a similar customer-facing technical role
- Experience with cloud infrastructure, GPU infrastructure, AI infrastructure, or enterprise computing
- Strong hands-on knowledge of Linux, virtual machines, Kubernetes, networking, storage, and NVIDIA GPUs
- Ability to diagnose complex infrastructure and AI workload issues alongside customer-side engineers
- Experience with technical demonstrations, POCs, enterprise implementations, or deployments
- Strong understanding of production infrastructure and the ability to distinguish customer-side issues from those requiring SRE or Engineering involvement
- Excellent communication skills and the ability to explain complex technical concepts to both technical and non-technical stakeholders
- Highly proactive and self-sufficient
- Strong sense of ownership and commitment to seeing issues through to resolution
- Comfortable working in a fast-paced environment where processes are still being developed
- Fluent English required
- French is a plus
Benefits
Comp & perks- Equal opportunity employer with an inclusive hiring process
- Reasonable protection of personal data throughout the recruitment process
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
LinuxKubernetesNetworkingStorageVirtual MachinesAI Workload DebuggingTechnical DiscoverySolution DesignPOC DevelopmentIncident Resolution
Soft Skills
Excellent CommunicationProactive Problem SolvingOwnershipSelf-SufficiencyAdaptability
Industry Keywords
Enterprise ComputingTechnical Account ManagementCustomer-Facing RoleFast-Paced EnvironmentAccount Health Monitoring