Senior Network Observability Consultant

AHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD.

Responsibilities

• Develop and maintain observability platforms using tools such as ExtraHop, Grafana, Prometheus, ELK, Splunk, and OpenTelemetry.
• Create dashboards, alerts, and data pipelines to monitor network performance, latency, packet loss, and throughput.
• Integrate observability tools with incident management systems (e.g., ServiceNow, MoogSoft).
• Collaborate with DevOps and infrastructure teams to identify telemetry sources (e.g., SNMP, NetFlow, sFlow, syslog).
• Define and track SLOs, SLIs, and KPIs for network health.
• Implement automated anomaly detection and diagnostics using AIOps or rule-based systems.
• Conduct root cause analysis and contribute to blameless postmortems.
• Promote a culture of observability, automation, and performance engineering.

Required Qualifications

• 7+ years of experience in network engineering or observability roles.
• Hands-on experience with ExtraHop Reveal(x) or similar NDR (Network Detection and Response) platforms.
• Strong understanding of network protocols, packet analysis, and telemetry.
• Proficiency in scripting (Python, Bash) and automation tools.
• Familiarity with cloud platforms (AWS, Azure, GCP) and hybrid environments.
• Excellent problem-solving and communication skills.