
Staff Solutions Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in United States.
• Collaborate with Account Executives and Account Managers to enhance technical exploration and align Teleport’s capabilities with customer objectives.
• Design and present demonstrations and proof-of-concepts that highlight Teleport’s Zero Trust, identity governance, and identity security features.
• Serve as a trusted advisor to leaders in engineering, platform engineering, DevSecOps, and security.
• Provide guidance on safeguarding sensitive datasets and model endpoints through identity-based controls.
• Position Teleport as the solution for eliminating API keys and static tokens in machine pipelines.
• Assist customers in exploring AI/LLM use cases, including secure infrastructure for training and inference tasks.
• Offer structured feedback to Product and Engineering on feature shortcomings and market demands.
• Work collaboratively with Marketing on thought leadership initiatives related to identity and AI security.
• Aid channel and technology partners with technical training and support.
• Participate in go-to-market efforts that include marketing materials, product positioning, customer interviews, sales-cycle enhancements, conferences, brand advocacy, and meetups.
• Actively listen and utilize feedback as a means to foster improvement.
• Exhibit empathy, resilience, and humility in all interactions.
• Candidates must reside in the Pacific or Mountain time zones.
• 8+ years of experience in pre-sales engineering, solutions architecture, DevSecOps, or another highly technical customer-facing position.
• Proficient in using, configuring, and troubleshooting Linux systems and network issues.
• Strong understanding and hands-on experience with Kubernetes troubleshooting.
• In-depth knowledge of at least one cloud computing platform.
• Comprehensive understanding of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale.
• Advanced knowledge of identity security and contemporary Zero Trust security strategies.
• Capability to develop scripts and automate processes 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.
• Excellent problem-solving and analytical abilities.
• Capacity to engage technical and executive stakeholders with credibility and clarity.
• Strong skills in presentation, demonstration, and whiteboarding.
• Experience with AI technologies and infrastructure, encompassing LLMs, MCP, vector databases, and AI tools.
• Familiarity with traditional infrastructure networking and security, including Linux/Unix, Windows, VPNs, and bastion hosts.
• Knowledge of modern cloud-native technologies, including cloud computing, containers, and Infrastructure as Code.
• Comprehensive health coverage.
• Annual expense budget.
• Rest and recovery policies designed to maximize your ability to recharge.
• Retirement savings plans.
• Opportunities for professional development.
• Equity options.
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