Senior Solutions Engineer - UK / IRE

goteleport; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote-first, globally distributed

Extensive health coverage

Annual expense budget

Rest and recovery policies

Retirement savings plans

Professional development opportunities

Job summary

goteleport is seeking a senior pre-sales engineer to partner with sales teams in driving revenue through technical demos, discovery, and proof-of-value engagements. You will help sophisticated technology customers address identity and access challenges across human, machine, and AI workloads, spanning Zero Trust security and cloud-native infrastructure.

You will work with infrastructure, platform, and security teams, deliver demos, advise on secure AI workflows, and provide feedback to product

Qualifications

• 5+ years in pre-sales, solutions architecture, DevSecOps, or a technical customer-facing role.
• Hands-on Linux/Unix and network troubleshooting experience.
• Solid knowledge of Kubernetes and one major cloud platform.
• Understanding of DevSecOps, CI/CD pipelines, and securing infrastructure at scale.
• Advanced understanding of identity security and Zero Trust concepts.

Responsibilities

• Partner with account executives and managers to expand technical discovery and map platform capabilities to customer initiatives.
• Architect and deliver demos and PoCs demonstrating Zero Trust, identity governance, and identity security for human and non-human identities.
• Act as trusted advisor to engineering, platform engineering, DevSecOps, and security leaders.
• Advise on protecting sensitive datasets and model endpoints using identity-based controls.
• Support customers exploring AI and LLM use cases, including secure infrastructure for training and inference workloads.
• Provide structured feedback to product and engineering on feature gaps and market needs.
• Contribute to thought leadership, partner enablement, and broader go-to-market activities.

Skills

5+ years experience in pre-sales/tech

Linux/Unix proficiency

Identity security

Zero Trust

DevSecOps concepts

AI/LLM familiarity

Demo & presentation skills

Tools

Kubernetes

Cloud platforms (AWS/Azure/GCP)

Job description

Role overview

This senior pre-sales engineering role partners with sales teams to drive revenue growth through technical demos, discovery, and proof-of-value engagements. The position collaborates with infrastructure, platform, and security teams at sophisticated technology companies, helping them address identity and access challenges across human, machine, and AI workloads. Work spans Zero Trust security, cloud-native infrastructure, and emerging AI infrastructure requirements.

Responsibilities

• Partner with account executives and account managers to expand technical discovery and map platform capabilities to customer initiatives
• Architect and deliver demos and proof-of-concepts that demonstrate Zero Trust principles, identity governance, and identity security for human and non-human identities
• Act as trusted advisor to engineering, platform engineering, DevSecOps, and security leaders
• Advise on protecting sensitive datasets and model endpoints using identity-based controls
• Support customers exploring AI and LLM use cases, including secure infrastructure for training and inference workloads
• Provide structured feedback to product and engineering on feature gaps and market needs
• Contribute to thought leadership, partner enablement, and broader go-to-market activities

Requirements

• 5+ years of experience in pre-sales engineering, solutions architecture, DevSecOps, or a technical customer-facing role
• Hands-on experience configuring, using, and debugging Linux/Unix systems and networks
• Strong understanding of Kubernetes, including hands-on troubleshooting
• Solid knowledge of at least one major cloud computing platform
• Understanding of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale
• Advanced understanding of identity security and modern Zero Trust approaches

Nice to have

• Familiarity with AI and LLM infrastructure, including GPU clusters, data governance, inference workloads, and ML pipelines
• Scripting and automation skills using Linux shell, Go, and Infrastructure as Code tools
• Strong presentation, demo, and whiteboarding abilities
• Ability to engage both technical and executive stakeholders with credibility

Benefits and work setup

• Remote-first, globally distributed team
• Extensive health coverage
• Annual expense budget
• Rest and recovery policies
• Retirement savings plans
• Professional development opportunities