Level 3 Network Support Engineer - Data Science & Autonomous Infrastructure

weekday ai (yc w21) • United State
Remote
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AI Summary

This role bridges Level 3 network support with data science, requiring expertise in troubleshooting enterprise networks and structuring networking data for AI training. Key responsibilities include analyzing incidents, performing root cause analysis, and labeling network behaviors to improve ML datasets. Candidates must have hands-on experience with enterprise networking technologies and strong analytical skills.

Key Highlights
Level 3/Tier 3 network support with final escalations
Data labeling and classification for AI-driven infrastructure
Root cause analysis and incident response experience
Remote contract position with weekly payments
Key Responsibilities
Analyze and troubleshoot complex enterprise networking issues and infrastructure incidents
Support investigations related to network outages, service degradation, performance bottlenecks, and escalated customer issues
Participate in root cause analysis (RCA) reviews and document technical findings
Review and interpret network telemetry, logs, alerts, and infrastructure data
Label and classify network behaviors, issues, anomalies, and incident patterns
Help define schemas and structure for large-scale data pipelines that downstream ML models will train on
Collaborate directly with the client team to provide technical insights that improve AI training datasets and model performance
Technical Skills Required
Network troubleshooting Root cause analysis Data labeling and classification
Benefits & Perks
Weekly payments via Stripe or Wise
Fully remote work
Nice to Have
Curiosity about machine learning, AI systems, and data-driven infrastructure operations
Experience working with network monitoring, observability, or operational analytics platforms
Familiarity with automation, network operations, or intelligent infrastructure technologies

Job Description


This role is for one of our clients

Compensation: $50-$70 per hour

Are you a Level 3 / Tier 3 network support engineer interested in data science and autonomous infrastructure? Our client is building vertically integrated networking systems and using the data they generate to power the next generation of AI-driven infrastructure. They're looking for engineers experienced in final escalations, packet analysis, troubleshooting, and RCA workflows to help label, annotate, and structure networking data from real production systems.

This is a hands-on role that blends your L3 troubleshooting and incident-response experience with a growing understanding of how data pipelines are built and used in AI systems.

In this role, you'll:

  • Review real-world data from deployed networks: logs, configs, telemetry, event streams
  • Label and classify network behaviors, issues, anomalies, and incident patterns
  • Help define schemas and structure for large-scale data pipelines that downstream ML models will train on

Requirements

Key Responsibilities

  • Analyze and troubleshoot complex enterprise networking issues and infrastructure incidents
  • Support investigations related to network outages, service degradation, performance bottlenecks, and escalated customer issues
  • Participate in root cause analysis (RCA) reviews and document technical findings
  • Contribute domain expertise regarding enterprise networking environments and operational best practices
  • Review and interpret network telemetry, logs, alerts, and infrastructure data
  • Collaborate directly with the client team to provide technical insights that improve AI training datasets and model performance
  • Help bridge the gap between real-world network operations and machine learning applications
  • Provide feedback on networking scenarios, operational workflows, and troubleshooting methodologies used in enterprise environments

Required Qualifications

  • Currently working as a Level 3, Tier 3, Senior, Lead, or Principal Support Engineer supporting enterprise network infrastructure
  • Hands-on experience managing, troubleshooting, and supporting enterprise networking environments
  • Strong experience with technologies such as:
    • Network switches
    • Wireless access points (APs)
    • Firewalls
    • Routing and switching infrastructure
  • Proven experience handling:
    • Production incidents
    • Final-level escalations
    • On-call support responsibilities
    • Root cause analysis (RCA)
    • Network troubleshooting and outage resolution
  • Experience supporting end-customer environments across industries such as:
    • Retail
    • Healthcare
    • Financial Services
    • Manufacturing
    • Higher Education
    • Hospitality
    • Large Enterprise Organizations
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills
Preferred Qualifications

  • Curiosity about machine learning, AI systems, and data-driven infrastructure operations
  • Interest in understanding how raw infrastructure and operational data is transformed into machine learning inputs
  • Experience working with network monitoring, observability, or operational analytics platforms
  • Familiarity with automation, network operations, or intelligent infrastructure technologies

Work Arrangement

  • Fully remote engagement
  • Flexible schedule with an expected commitment of approximately 30-40 hours per week
  • Direct collaboration with the client team
  • Projects may be extended, shortened, or concluded based on business needs and performance

Contract & Payment Details

  • Independent contractor engagement
  • Weekly payments via Stripe or Wise based on approved services rendered
  • Work performed will not involve access to confidential or proprietary information from any employer, client, or institution

Equal Opportunity

Qualified applicants will be considered without regard to legally protected characteristics. Reasonable accommodations are available upon request.

Please Note: Sponsorship for H-1B visas or STEM OPT programs is not available for this engagement.

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