Solutions Engineer
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Job Description
Solutions Engineer helping customers secure AI and cloud infrastructure with Teleport’s identity security platform. Designing demos, proof-of-concepts, and Zero Trust solutions for technical buyers.
Responsibilities:
- Partner with Account Executives and Account Managers to expand technical discovery and map Teleport’s capabilities to customer initiatives
- Architect and deliver demos and proof-of-concepts showcasing Zero Trust, human and non-human identities, identity governance, and identity security
- Act as a trusted advisor to engineering, platform engineering, DevSecOps, and security leaders
- Advise on protecting sensitive datasets and model endpoints with identity-based controls
- Position Teleport as a solution to eliminate API keys and static tokens in machine pipelines
- Support customers exploring AI/LLM use cases, including secure infrastructure for training and inference workloads
- Provide structured feedback to Product and Engineering on feature gaps and market needs
- Collaborate with Marketing on thought leadership around identity and AI security
- Support channel and technology partners with technical enablement
- Contribute to go-to-market activities including marketing collateral, product positioning, customer interviews, sales-cycle optimization, conferences, brand evangelism, and meetups
- Collaborate with infrastructure engineering and security teams at technology companies
- Guide prospects through technical evaluations and proof-of-value engagements
- Support mid-market and enterprise customers
Requirements:
- 3+ years of experience in pre-sales engineering, solutions architecture, DevSecOps, or a highly technical customer-facing role
- Experience using, configuring, and debugging Linux machines and network issues
- Strong understanding and hands-on troubleshooting experience with Kubernetes
- Strong knowledge of at least one cloud computing platform
- Strong knowledge of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale
- Advanced understanding of identity security and modern Zero Trust security approaches
- Ability to develop scripts and automation using Linux shell, Go, and Infrastructure as Code tools
- Strong understanding of system architecture, provisioning, and administration
- Familiarity with AI/LLM infrastructure, including GPU clusters, data governance, inference workloads, and ML pipelines
- Strong problem-solving and analytical skills for troubleshooting complex issues
- Ability to engage technical and executive stakeholders with credibility and clarity
- Strong presentation, demo, and white-boarding skills
- Experience with AI technologies and infrastructure, including LLMs, MCP, vector databases, and AI tooling
- Familiarity with traditional infrastructure networking and security, including Linux/Unix, Windows, VPNs, and bastion hosts
- Familiarity with modern cloud-native technologies, including cloud compute, containers, and IaC
Benefits:
- Extensive health coverage
- Annual expense budget
- Rest and recovery policies that maximize your ability to recharge
- Retirement savings plans
- Professional development opportunities
- Equity
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