27 set - Pordenone
Sysdig
pIn this role you design and deliver hands-on training that demonstrates Sysdig across containers, Kubernetes, Linux, and cloud. You own the training platform’s reliability and automate lab provisioning to ensure seamless sessions. You craft engaging sessions and clear courseware, blending technical depth with accessible instruction. You’ll work with AI tooling to accelerate content creation, while partnering with product, success, and marketing to keep training relevant. This is a chance to shape learning at scale and help customers secure innovation in the cloud. /pulliExtra days off /liliMental health support /liliCompetitive compensation package /liliDesign and build realistic lab scenarios demonstrating Sysdig across containers, Kubernetes, Linux, and cloud /liliOwn automation and reliability of the training platform (e.g., Instruqt, LMS) including provisioning, scripting, and troubleshooting /liliDesign and deliver technical training, workshops, and demos for diverse audiences /liliAuthor courseware and technical documentation (YAML- and Markdown-based) and apply instructional design principles /liliUse AI coding/agent clients to accelerate lab creation, scripting,
and content drafting while ensuring quality /liliLead projects end-to-end, making autonomous decisions and escalating risks when needed /liliCollaborate with Product, Customer Success, and Marketing to align training with feature value /liliTranslate feedback into content/process improvements and mentor junior team members /liliDeep hands-on experience with containers, orchestration (Kubernetes), Linux and/or cloud services /liliStrong grasp of cloud-native ecosystem (Cloud Native, CIEM, CNAPP) and DevOps tools/methodologies /liliProficient in 1–2 programming languages (Bash, Python, Go) and comfortable with YAML/Markdown and APIs /lili3+ years of instruction experience with clear, engaging delivery and technical writing /liliAbility to build and deliver training with confidence; strong technical and communication craft /liliExperience with AI coding/agent CLI clients (Claude Code, Codex or equivalents) /liliFluent English, written and spoken /liliAnalytical mindset with use of feedback and metrics /liliAutonomous and proactive work style /liliMentorship and collaboration across teams /liliContainers /li /ul #J-18808-Ljbffr
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