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Director Network Observability Jobs (NOW HIRING)

Observability & AI-Driven Operations · Define and implement advanced network observability ... direct people management). · Partner closely with cloud, SRE, security, and application teams. · ...

Observability & AI-Driven Operations · Define and implement advanced network observability ... direct people management). · Partner closely with cloud, SRE, security, and application teams. · ...

The Director of Network Engineering will lead a globally distributed engineering organization with ... Improve network resiliency, operational efficiency, service observability, and incident response ...

The Director of Network Engineering will lead a globally distributed engineering organization with ... Improve network resiliency, operational efficiency, service observability, and incident response ...

In depth knowledge of network observability using tools such as Thousand Eyes, Grafana, Loki, Netflow and Netscout to obtain "full pane of glass" for network health * Experience supporting Kubernetes ...

In depth knowledge of network observability using tools such as Thousand Eyes, Grafana, Loki, Netflow and Netscout to obtain "full pane of glass" for network health * Experience supporting Kubernetes ...

In depth knowledge of network observability using tools such as Thousand Eyes, Grafana, Loki, Netflow and Netscout to obtain "full pane of glass" for network health * Experience supporting Kubernetes ...

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Director Network Observability information

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$48.5K

$130.2K

$269K

How much do director network observability jobs pay per year?

As of Jun 30, 2026, the average yearly pay for director network observability in the United States is $130,243.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $148,500.00 per year, depending on experience, location, and employer.

What are some typical challenges faced by a Director of Network Observability, and how can they be addressed?

A Director of Network Observability often encounters challenges such as integrating diverse monitoring tools, ensuring real-time visibility across complex hybrid networks, and managing large volumes of data from various sources. Addressing these requires fostering collaboration between network, security, and operations teams, standardizing data collection practices, and investing in scalable observability platforms. Maintaining clear communication with stakeholders and staying updated on emerging technologies are also crucial for effectively overcoming these obstacles.

What is the difference between Director Network Observability vs Network Engineer?

AspectDirector Network ObservabilityNetwork Engineer
ResponsibilitiesOversees network monitoring, analytics, and strategy to ensure network performance and reliabilityDesigns, implements, and maintains network infrastructure and configurations
Required SkillsNetwork monitoring tools, data analysis, leadership, strategic planningNetwork protocols, troubleshooting, hardware/software configuration
CertificationsCCNP, CCDP, or equivalent; often advanced certificationsCCNA, CCNP, or equivalent
Work EnvironmentStrategic, cross-team collaboration, often managerial oversightHands-on technical work, on-site or remote

While both roles focus on network performance, the Director Network Observability primarily manages monitoring strategies and analytics at a higher level, whereas the Network Engineer handles the technical implementation and maintenance of network systems.

What does a Director of Network Observability do?

A Director of Network Observability oversees the strategy, deployment, and management of tools and processes that monitor and analyze the performance, health, and security of an organization's network infrastructure. They lead teams responsible for ensuring network visibility, identifying issues proactively, and providing actionable insights to maintain optimal network operations. This role often collaborates with IT, security, and engineering teams to implement observability solutions, improve incident response, and support business continuity. The Director also evaluates new technologies and industry trends to enhance the organization's observability capabilities.

What are the key skills and qualifications needed to thrive as a Director of Network Observability, and why are they important?

To thrive as a Director of Network Observability, you need deep expertise in network engineering, monitoring strategies, and a strong background in computer science or information technology, often supplemented by a relevant bachelor's or master's degree. Familiarity with network performance monitoring tools (like SolarWinds, Nagios, or Datadog), cloud platforms, and certifications such as CCNP or AWS Certified Solutions Architect is highly valuable. Strong leadership, strategic thinking, and communication skills help drive cross-functional initiatives and mentor technical teams. These competencies ensure robust network visibility and resilience, enabling proactive issue detection and optimal performance in complex network environments.
More about Director Network Observability jobs
What cities are hiring for Director Network Observability jobs? Cities with the most Director Network Observability job openings:
What are the most commonly searched types of Network Observability jobs? The most popular types of Network Observability jobs are:
What states have the most Director Network Observability jobs? States with the most job openings for Director Network Observability jobs include:
What job categories do people searching Director Network Observability jobs look for? The top searched job categories for Director Network Observability jobs are:
Infographic showing various Director Network Observability job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Temporary. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $130,243 per year, or $62.6 per hour.
Network Director

Full-time

Posted 27 days ago


Key responsibilities

  • Architect and standardize modern data center network designs optimized for scale, resiliency, and performance.

  • Design and implement Infrastructure as Code solutions and drive automation-first networking for network provisioning and lifecycle management.

  • Define and implement advanced network observability strategies using telemetry and analytics platforms to improve reliability and performance.


Job description

Network Data Center Architect
About the Role
We are seeking a Network Data Center Architect to design, build, and evolve scalable, resilient, and highly automated data center network architectures that enable private cloud and hybrid cloud platforms. This is a senior individual contributor role responsible for defining technical direction, architecture standards, and hands-on engineering solutions across modern, multi-vendor data center environments.
The ideal candidate is a deep technical expert in large-scale data center networking, with strong experience supporting AI-driven workloads, GPU-based platforms, and cloud-like infrastructure, and a proven track record in automation and Infrastructure as Code, including leadership in Arista-based environments.
Key Responsibilities
Data Center & Network Architecture
· Architect and standardize modern data center network designs optimized for scale, resiliency, and performance.
· Design Layer 2 and Layer 3 architectures leveraging EVPN/VXLAN for multi-tenant, cloud-ready environments.
· Lead architecture decisions in a multi-vendor network ecosystem, with strong emphasis on Arista Networks platforms.
· Develop reference architectures, design patterns, and technical standards aligned with Arista Validated Designs (AVD) and enterprise best practices.
Arista Platforms & Multi-Vendor Networking
· Serve as a technical authority for Arista EOS-based data center fabrics, while integrating with other vendors as required.
· Design and operate network fabrics using Arista CloudVision (CVP) for centralized management, telemetry, and lifecycle operations.
· Leverage AVD to drive consistent, repeatable, and automated fabric deployments.
· Evaluate and integrate Arista solutions within a broader multi-vendor strategy to avoid lock-in while maximizing operational efficiency.
AI, GPU & High-Performance Workload Enablement
· Design network fabrics capable of supporting AI/ML training and inference workloads, including large-scale GPU clusters.
· Optimize east-west traffic, bandwidth, and latency for GPU fabrics and distributed compute platforms.
· Support architectures requiring high throughput, deterministic performance, and scalable growth.
· Collaborate with compute and platform teams to align network design with AI and GPU workload requirements.
Private Cloud & Hybrid Enablement
· Enable network architectures that support private cloud platforms and cloud-like self-service consumption.
· Integrate networking into virtualization, container, and platform environments.
· Support secure and scalable hybrid connectivity between private data centers and public cloud environments.
· Ensure designs align with segmentation, Zero Trust networking, and security best practices.
Automation & Infrastructure as Code
· Drive automation-first networking, minimizing manual configuration and operational risk.
· Design and implement Infrastructure as Code (IaC) solutions using Python, Terraform, Ansible, AVD, or similar frameworks.
· Build reusable automation modules, pipelines, and workflows for network provisioning and lifecycle management.
· Promote declarative, version-controlled network operations across teams.
Observability & AI-Driven Operations
· Define and implement advanced network observability strategies, including streaming telemetry, flow data, logs, and metrics.
· Utilize Arista CloudVision telemetry and AI/ML-driven analytics platforms to detect anomalies, predict failures, and optimize performance.
· Integrate network observability into broader SRE and platform monitoring ecosystems.
· Use data-driven insights to improve reliability, capacity planning, and incident response.
Engineering Excellence & Collaboration
· Act as a technical authority and architectural advisor for data center networking initiatives.
· Review designs, influence standards, and mentor engineers (without direct people management).
· Partner closely with cloud, SRE, security, and application teams.
· Participate in complex incident analysis and long-term architectural remediation.
Required Qualifications
· Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
· 8+ years of experience in data center networking or infrastructure engineering.
· Deep expertise in EVPN/VXLAN-based architectures and large-scale routed fabrics.
· Strong hands-on experience with Arista EOS, CloudVision (CVP, CVaaS), and AVD.
· Experience designing networks for private cloud, AI, GPU, or high-performance computing environments.
· Proven experience with automation and Infrastructure as Code (Python, Terraform, Ansible, AVD, or equivalent).
· Strong understanding of BGP, routing at scale, network segmentation, and resiliency patterns.
Preferred Qualifications
· Experience designing or operating GPU fabrics or AI platforms at scale.
· Familiarity with lossless networking, RDMA, or high-bandwidth fabrics.
· Experience supporting Kubernetes, OpenShift, or cloud-native platforms.
· Hands-on experience with network telemetry and AI-driven observability tools.
· Experience integrating Arista platforms within multi-vendor data center environments.
· Strong documentation and architecture-review skills.