Five9

Five9

Senior Network Engineer, Network Operations

United States (Remote) · Senior

Sponsorship not specified$104k-$289kDetected 36 days ago
AWSGCPCloud PlatformsKubernetesTerraformAnsibleCI/CDPrometheusGrafanaMachine LearningNetwork SecurityFirewallCiscoBGP/OSPFLoad BalancingCommunication

About the role

  • We celebrate diversity and foster an inclusive environment, empowering our employees to be their authentic selves.

Responsibilities

  • Partner with cross-functional stakeholders to design and deliver next-generation data center fabric architectures, leveraging technologies such as VXLAN, Cisco Nexus Dashboard, Kubernetes, and AI/ML-enabled networking.
  • Drive automation strategy and execution using Ansible, Terraform, and CI/CD pipelines, including the design, deployment, and continuous improvement of automation for high-impact operational and reliability use cases.
  • Own and support all operational aspects of network security infrastructure, including operating system maintenance, vulnerability management, capacity planning, lifecycle management, and certificate administration.
  • Track and manage projects, processes, and technology initiatives across the team, ensuring alignment, visibility, and timely execution.
  • Analyze historical network incidents to identify systemic issues, perform root cause analysis, and implement automated remediation to prevent recurrence.
  • Lead the review, analysis, and execution of network change requests within the data center fabric domain, ensuring adherence to change management and risk mitigation standards.
  • Develop and report operational and performance metrics using observability platforms such as Prometheus, Grafana, and ELK to drive data-informed decisions.
  • Lead the introduction of new processes and automation capabilities that improve scalability, reliability, and operational efficiency.
  • Maintain strong operational focus on data center fabric technologies while coordinating cross-team efforts with network security and load balancing functions to ensure end-to-end service reliability.

Requirements

  • Proven technical expertise in fast-paced, dynamic, production environments supporting mission-critical infrastructure.
  • 8+ years of experience in technology roles, including 3+ years serving as a technical subject matter expert.
  • Strong understanding of, with hands-on experience with dynamic routing protocols, particularly BGP.
  • Proven experience designing, implementing, or operating large-scale data centers and complex infrastructure environments.
  • Hands-on knowledge and operational experience with Cisco Nexus, F5, and Palo Alto platforms.
  • Strong experience with incident response, change management, and operational governance practices.
  • Excellent communication skills, with the ability to clearly represent technical domains and team outcomes to senior leadership.
  • Proven experience automating infrastructure processes and deployments.

Nice to have

  • Bachelor's degree in computer science or a related technical field preferred, or equivalent practical experience.
  • Google Cloud Platform (GCP) and AWS experience preferred.
  • Experience managing and operating public cloud networking environments

Skills

  • Join us in bringing joy to customer experience.

Compensation

  • Actual compensation packages are based on several factors that are unique to each candidate including, but not limited to: skill set, depth of experience, certifications, and specific work location.

Benefits

  • Health, dental, and vision coverage, beginning on the first day of employment.
  • Five9 covers 100% of the employee portion of the health, dental and vision coverage and shares a high portion of the dependent cost.
  • We also offer Short & Long-Term Disability, Basic Life Insurance, and a 401k saving plan with employer matching.
  • Generous employee stock purchase plan.
  • Paid Time Off, Company paid holidays, paid volunteer hours and 12 weeks paid parental leave.

This listing is sourced directly from Five9's careers page and normalized into a canonical job model.