Customer Experience Engineer, CXE-T

Responsibilities

1:Many Technical Enablement

• Design and deliver advanced technical sessions, including webinars, live builds, architecture deep dives, and workshops, for platform, DevOps, security, and engineering audiences.
• Create structured enablement series aligned to customer maturity stages, such as secure SDLC, supply chain hardening, and container governance.
• Develop repeatable technical learning paths that drive adoption beyond initial onboarding.

Structured PoCs & Applied Architecture

• Design scalable PoC frameworks that customers can adopt independently or through cohort-based execution.
• Define technical success criteria and evaluation benchmarks for common adoption scenarios, including policy enforcement, image integrity, SBOM visibility, and secure pipelines.
• Translate Docker capabilities into practical architectural patterns customers can implement.
• Lead 1:1 customer workshops or guided PoCs for complex or high-value technical initiatives when needed.

Technical Content & Thought Leadership

• Produce deep technical assets, including recorded walkthroughs, architecture reference guides, advanced implementation blogs, and reusable demo environments.
• Build assets that support customer journey stages and remove common technical blockers.
• Act as a field-informed voice into Product and Engineering by surfacing real-world technical friction.

Technical Advisory & SE/SA Overflow Support

• Serve as a subject matter expert for non-support technical questions that exceed standard documentation.
• Provide architectural guidance across secure build pipelines, software supply chain integrity, container security and governance, AI/ML workload governance, and AI agent architecture patterns.
• Partner with Sales Engineers and Post-Sales teams to ensure technical continuity without owning deal cycles.

Requirements

• 5+ years in Solutions Engineering, Technical Account Management, DevOps, Platform Engineering, or similar technical roles.
• Strong hands-on expertise with Docker and container ecosystems, secure software supply chain practices, CI/CD pipelines, and modern cloud-native architecture.
• Experience designing and executing structured PoCs with defined success criteria.
• Ability to present complex technical topics clearly to senior engineering audiences.
• Strong written communication skills and experience producing technical blogs or deep technical content.

Nice-to-Haves

• Hands-on experience with AI/ML development workflows, including model packaging, dependency management, reproducibility, and governance in containerized environments.
• Experience with AI coding agent runtimes and sandboxed execution environments, including agent isolation and MCP tool governance.
• Familiarity with Docker SBX and MCP Gateway as enterprise controls for agentic AI workloads.
• Familiarity with SBOM generation and consumption, artifact signing, provenance such as SLSA concepts, vulnerability management, and policy enforcement.
• Deep understanding of the container image lifecycle, including build optimization, image hardening, base image strategy, registry governance, promotion workflows, and lifecycle management from development through production.
• Experience implementing or advising on SSDLC practices, including secure build pipelines, policy-as-code, compliance controls, and DevSecOps integration.
• Exposure to governance frameworks or regulatory models such as NIST guidance, EU AI Act, and internal enterprise policy frameworks.
• Experience designing reusable lab environments, demo frameworks, or reference architectures for engineering audiences.
• Background in Platform Engineering, DevSecOps, or Security Architecture roles where architectural decisions influenced developer experience and risk posture.

Compensation and Benefits

• The posting does not specify compensation or benefits.