Enterprise Networking SME / Network Evaluator

Enterprise Networking SME / Network Evaluator

Working hours:

Working hours to cover partially US time zone (TBC)

Hybrid from Warsaw or Gdansk (2/3 days per week)

Required Skills:

• Expert-level knowledge of enterprise networking: Deep understanding of Cisco routing and switching products, with a focus on large-scale campus and enterprise networks.

• Extensive troubleshooting experience: Demonstrated experience diagnosing and resolving complex network issues, including root cause analysis and multi-vendor environments.

• Proficiency with CLI diagnostics: Expert knowledge of Cisco CLI, including the use of "show" commands and other diagnostics for problem investigation.

• Experience with network monitoring and analytics platforms: Hands-on experience with tools such as Cisco Meraki, ThousandEyes, and Splunk for monitoring, troubleshooting, and performance analysis.

• Experience documenting technical solutions: Strong ability to create detailed methods of action, recommendations, and impact statements for network problems and proposed solutions.

• Familiarity with automation and scripting: Working knowledge of Python and automation frameworks (e.g., Ansible, Terraform) for interacting with APIs and automating network tasks.

• Experience with software defect analysis: Familiarity with identifying software-related network issues and evaluating the impact of software bugs and vulnerabilities.

• Experience with training/evaluation data creation: Ability to design, curate, and annotate realistic problem scenarios and training examples for use in ML and GenAI model development.

Business Justification:

Deep domain expertise in enterprise networking and troubleshooting is required to properly assess the accuracy and effectiveness of model-generated recommendations and diagnostic outputs. SMEs will provide authoritative evaluation and gold-standard examples to train and validate models, ensuring relevance to real-world network operations and support scenarios.

Services and Deliverables:

• Review and evaluation of problem statements: Evaluators will review network problem descriptions and associated diagnostic data, validating the relevance and sufficiency of information for identifying root causes and remediations.

• Validation of model outputs: Assess the accuracy and practicality of AI-generated diagnostic steps, recommendations, and remediation actions. Provide clear, concise summaries when disagreeing with model outputs, including nuanced reasoning and expert insights.

• Creation of training and evaluation sets: Develop realistic network problem scenarios, recommended actions, and impact statements. Contribute expert-crafted examples for use in model training and evaluation.

• Documentation and reporting: Create comprehensive records of assessments, recommendations, and findings. Maintain quality control over annotated datasets and ensure consistency with project standards.

• Quality assurance and iterative feedback: Review and refine labeled datasets and model outputs for accuracy and consistency. Provide feedback to improve annotation guidelines, validation processes, and supporting tools.

• Collaboration: Work closely with data scientists, engineers, and project managers to align SME contributions with overall project objectives and deliverables.

Examples of Tasks:

• Evaluate AI-generated troubleshooting steps for a simulated network outage in a campus network, using diagnostic data from Meraki and ThousandEyes.
• Author a set of annotated training examples depicting common security misconfigurations in enterprise switch environments, including proposed remediations and potential impacts.
• Review model-generated recommendations for addressing high latency observed in network devices, and provide feedback on their technical accuracy and completeness.

Benefits

• Stable long-term cooperation with opportunity for extension

• Opportunity to work with modern technologies in an international environment

• Professional growth and continuous development opportunities

• Participation in challenging and impactful projects

If you're interested and meet the qualifications, please send your CV at

[email protected]