Cloud Labs Content Engineer

New
IndiaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
5+ years
Required Skills
AWSPythonGCPAzureLinuxNetworking

Requirements

  • 5+ years of experience in networking, systems engineering, pre-sales, or technical consulting roles.
  • Strong expertise in networking technologies including routing, switching, and security (e.g., SRX, MX, PTX, QFX, EX platforms).
  • Solid understanding of SDN, NFV, and enterprise network architectures.
  • Hands-on experience with virtualization technologies such as VMware or KVM.
  • Exposure to at least one public cloud platform (AWS, Azure, GCP, or Oracle Cloud).
  • Proven experience building demos, proof-of-concepts, or technical lab environments.
  • Strong customer-facing and communication skills, with experience presenting to both technical and business audiences.
  • Ability to translate complex technical concepts into clear, engaging solution narratives.
  • Familiarity with scripting or development tools (Python, Linux, web technologies, or similar) is a plus.
  • Strong organizational, multitasking, and stakeholder management skills.
  • Bachelor’s degree in Computer Science, Engineering, or a related technical field.

Responsibilities

  • Design, build, and maintain customer-facing demonstrations, labs, and proof-of-concepts aligned with real-world enterprise use cases.
  • Develop scalable and reusable content for cloud lab environments showcasing networking, security, and infrastructure technologies.
  • Translate business and technical requirements into structured lab experiences in collaboration with product, engineering, and sales teams.
  • Manage content development projects using agile methodologies, including sprint planning, tracking, and delivery coordination.
  • Serve as the primary point of contact for requirements gathering, scope alignment, and stakeholder communication.
  • Deliver technical enablement sessions, workshops, and “train-the-trainer” programs for field and sales engineering teams.
  • Support continuous improvement of lab environments by incorporating customer feedback and optimizing content quality.
  • Collaborate across cross-functional teams to ensure smooth execution of lab deployments and demonstrations.
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