Network Engineer (with Programming) – Data & AI Systems

Are you a Level 3 / Tier 3 network support engineer who also enjoys scripting or programming — and is curious about how data powers intelligent systems? Our client is building vertically integrated networking systems and leveraging the data they generate to power the next generation of autonomous infrastructure.

They're looking for the engineers who keep existing infrastructure online and stable — the ones owning final escalations, dissecting packet captures, and running RCAs — combined with the scripting depth to automate the operations work around it.

Location Requirements

infrastructure, data pipelines, and machine learning,

In this role, you’ll

You’re a strong fit if you

Role Details

Location

Commitment

Collaboration

Are you a Level 3 / Tier 3 network support engineer who also enjoys scripting or programming — and is curious about how data powers intelligent systems? Our client is building vertically integrated networking systems and leveraging the data they generate to power the next generation of autonomous infrastructure. They're looking for the engineers who keep existing infrastructure online and stable — the ones owning final escalations, dissecting packet captures, and running RCAs — combined with the scripting depth to automate the operations work around it. This is a hands-on role at the intersection of infrastructure, data pipelines, and machine learning, where your work will directly influence how intelligent systems understand and operate real-world networks. Review real-world data from deployed networks (logs, configurations, telemetry, event streams) Label, classify, and analyze network behaviors, issues, and anomalies Write scripts/tools to process, clean, and transform network data Help define schemas and structure for large-scale data pipelines Collaborate closely with the client team to improve data quality and usability for ML systems Work today as a Level 3 / Tier 3 / Principal Support Engineer keeping existing enterprise infrastructure online and stable — on-call rotation, RCAs, final escalations, troubleshooting outages — Must Have Have hands-on experience with end-customer enterprise networks (switches, APs, firewalls in retail, healthcare, financial, manufacturing, university, hospitality, etc.) — Must Have Have scripting experience in service of operations (Python, Bash, Ansible, PowerShell) — for log redaction, compliance checks, monitoring automation, config audits, or pipeline tooling — Must Have Are comfortable interpreting logs, events, and time-series metrics Have experience automating workflows or working with data pipelines (nice to have) Are curious about how raw infrastructure data becomes machine learning input Are excited to contribute to the future of autonomous networking systems Location: San Francisco, CA (In-Person Preferred) Commitment: Full-time Collaboration: You will work directly with the client team We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.

• Review real-world data from deployed networks (logs, configurations, telemetry, event streams)
• Label, classify, and analyze network behaviors, issues, and anomalies
• Write scripts/tools to process, clean, and transform network data
• Help define schemas and structure for large-scale data pipelines
• Collaborate closely with the client team to improve data quality and usability for ML systems
• Work today as a Level 3 / Tier 3 / Principal Support Engineer keeping existing enterprise infrastructure online and stable — on-call rotation, RCAs, final escalations, troubleshooting outages — Must Have
• Have hands-on experience with end-customer enterprise networks (switches, APs, firewalls in retail, healthcare, financial, manufacturing, university, hospitality, etc.) — Must Have
• Have scripting experience in service of operations (Python, Bash, Ansible, PowerShell) — for log redaction, compliance checks, monitoring automation, config audits, or pipeline tooling — Must Have
• Are comfortable interpreting logs, events, and time-series metrics
• Have experience automating workflows or working with data pipelines (nice to have)
• Are curious about how raw infrastructure data becomes machine learning input
• Are excited to contribute to the future of autonomous networking systems
• Location: San Francisco, CA (In-Person Preferred)
• Commitment: Full-time
• Collaboration: You will work directly with the client team