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Network Observability Jobs (NOW HIRING)

Five9

OR

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 ...

iTech US, Inc.

Network Architect

Houston, TX · On-site

$61.75 - $82.75/hr

Implement network observability using gNMI, Netconf/YANG, Streaming Telemetry, Apstra, Aruba Central AIOps, and NetEdit . * Perform network security vulnerability management, performance optimization ...

Volto USA

Networking Architect- Houston TX Onsite

Houston, TX · On-site

$61.75 - $82.75/hr

Automation & Observability Deploy telemetry-based observability (gNMI| streaming telemetry| Netconf/YANG) Implement network observability stacks with Apstra| Aruba Central AIOps| NetEdit.Build IaC ...

BlueCat

OR · Hybrid

BlueCat's Network Observability platform is transforming how organizations gain visibility, control, automation, and confidence across increasingly complex digital infrastructures. We deliver market ...

Xperi

Staff Engineer - IT Network

Tulsa, OK · Hybrid

As aStaff Network Engineer, you will play a critical leadership role in designing, evolving, and ... Exposure tonetwork observability and telemetry-driven operations. What Will Make You Successful:

lululemon

Staff Platform Engineer-Network

Seattle, WA · On-site

... network observability and operational tooling, using telemetry and metrics to guide design decisions and improve MTTR. • Leads through influence without direct people management. • Mentors ...

LVTLABS\-Magus

Senior Infrastructure Engineer

Alpharetta, GA · Hybrid

$103K - $140K/yr

Network Observability : Implement and manage network monitoring solutions to maintain real\-time visibility into network health, availability, and performance. \n * Cloud & On\-Prem Integration

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How much do network observability jobs pay per year?

As of Jul 9, 2026, the average yearly pay for network observability in the United States is $85,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,500.00 and $90,500.00 per year, depending on experience, location, and employer.

What is network observability?

Network observability refers to the ability to gain deep visibility into all aspects of a computer network’s operations, performance, and health. It involves collecting and analyzing data from various sources such as logs, metrics, and traces to detect issues, optimize performance, and ensure security. Unlike traditional monitoring, observability provides insights into the underlying causes of network problems, enabling faster troubleshooting and proactive management. Network observability tools help organizations maintain reliable, secure, and efficient network infrastructure, which is especially important in complex or large-scale environments.

What is the difference between Network Observability vs Network Monitoring?

AspectNetwork ObservabilityNetwork Monitoring
FocusProvides comprehensive insights into network performance, health, and security through data collection, analysis, and visualization.Tracks network uptime, availability, and basic performance metrics to detect outages or issues.
Tools & SkillsUses advanced analytics, telemetry, and machine learning; requires knowledge of data analysis and network architecture.Utilizes monitoring tools like SNMP, ping, and simple dashboards; requires basic network troubleshooting skills.
PurposeEnables proactive troubleshooting, capacity planning, and security analysis by understanding complex network behaviors.Provides real-time alerts and status updates to quickly identify and resolve network issues.

While both roles focus on network health, Network Observability offers a deeper, data-driven understanding of network behavior, supporting proactive management. Network Monitoring is more about real-time detection of outages and basic performance tracking. Organizations often use both to ensure robust network performance and security.

What are some common challenges faced by professionals in Network Observability roles, and how can they be addressed?

Professionals in Network Observability often face challenges like managing large volumes of network data, integrating diverse monitoring tools, and quickly identifying the root cause of network issues. Addressing these challenges typically involves automating data collection, leveraging advanced analytics, and fostering close collaboration with network engineers and security teams. Staying updated with the latest observability platforms and best practices can also help streamline workflows and improve network performance monitoring.

What are the key skills and qualifications needed to thrive in Network Observability, and why are they important?

To excel in Network Observability, you need a strong understanding of networking fundamentals, troubleshooting, and data analysis, often supported by a degree in computer science or a related field. Familiarity with monitoring tools like Wireshark, Datadog, Grafana, and knowledge of protocols such as SNMP and NetFlow, as well as relevant certifications (e.g., Cisco CCNA/CCNP), are typically required. Strong problem-solving, attention to detail, and communication skills help professionals quickly identify issues and work with cross-functional teams. These competencies are essential for ensuring network reliability, performance, and rapid incident response in complex IT environments.
More about Network Observability jobs
What cities are hiring for Network Observability jobs? Cities with the most 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 Network Observability jobs? States with the most job openings for Network Observability jobs include:
What job categories do people searching Network Observability jobs look for? The top searched job categories for Network Observability jobs are:
Network Observability jobs near you
Infographic showing various Network Observability job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $85,999 per year, or $41.3 per hour.
Observability Lead - Cloud SRE & Network Reliability

Observability Lead - Cloud SRE & Network Reliability

Lam Research Corporation

Fremont, CA • On-site

$62.50 - $83/hr

Full-time

Re-posted 9 days ago

Lam Research rating

8.7

Company rating: 8.7 out of 10

Based on 45 frontline employees who took The Breakroom Quiz

44th of 427 rated machine equipment manufacturers

Job description

The group you'll be a part of
The Global Information Systems Group is dedicated to the success of Lam through providing best-in-class and innovative information system solutions and services. Together, we support users globally with data, information, and systems to achieve their business objectives.
The impact you'll make
Our team at Lam is seeking a hands-on Observability Lead with a strong Site Reliability Engineering (SRE) and multi-cloud networking foundation to join our GIS Infrastructure Platform Engineering team. You will lead engineers in delivering robust observability frameworks, SLA/SLO/SLI disciplines, DR/BCP programs, backup and restore operations, and end-to-end network reliability across Azure, AWS, and GCP. You will own the full-stack delivery of observability, reliability, and resilience capabilities across a global multi-cloud enterprise.
What you'll do
  • Lead and grow a team delivering a world-class observability platform across global, multi-cloud production environments, including Azure, AWS, and GCP.
  • Define and enforce SLA, SLO, and SLI frameworks across all infrastructure and network domains, driving continuous improvement through effective error budget management.
  • Own end-to-end multi-cloud network observability, including VNet and VPC traffic flows, Transit Gateway routing, BGP peering health, and inter-region connectivity.
  • Design and govern multi-cloud networking architectures, including Azure VNet, AWS VPC and Transit Gateway, GCP VPC, and hybrid connectivity solutions such as ExpressRoute,
  • Direct Connect, and Cloud Interconnect.
  • Design and implement agentic AI workflows using LLM-based agents, RAG patterns, and orchestration frameworks to enable AIOps-driven fault detection and remediation.
  • Own disaster recovery (DR) and business continuity planning (BCP) strategy, including runbook authorship, multi-cloud failover validation, and periodic DR drills to ensure RTO and RPO commitments are met.
  • Lead backup and restore operations across multi-cloud and hybrid environments, incorporating automated validation and cross-cloud recovery workflows.
  • Build robust monitoring and alerting pipelines by integrating Prometheus, Grafana, Datadog, PagerDuty, ThousandEyes, Azure Monitor, CloudWatch, and Google Cloud Operations into a unified observability stack.
  • Drive automation-first practices through self-healing pipelines, remediation playbooks, and infrastructure-as-code (IaC) patterns to reduce toil and improve MTTR.
  • Lead P1, P2, and P3 incident response efforts, including structured post-mortems and action tracking.
  • Define and drive the multi-quarter roadmap for observability, reliability, networking, DR/BCP, and AI-assisted operations.
  • Support hiring, performance management, and career development for the team.

Who we're looking for
  • A BS, MS, or PhD in Computer Science, Engineering, or a related field (or equivalent experience), with 12+ years of overall experience in Infrastructure, SRE, DevOps, or Network
  • Engineering and 6+ years of experience leading high-performing SRE, Observability, or Platform Engineering teams.
  • Proven expertise in defining, enforcing, and operating SLA, SLO, and SLI frameworks, including effective error budget management.
  • Hands-on experience with disaster recovery (DR) and business continuity planning (BCP), including RTO/RPO planning, failover testing, and continuity documentation.
  • Deep expertise in backup and restore operations across multi-cloud and hybrid environments.
  • Strong multi-cloud networking skills across Azure (VNet, ExpressRoute, Virtual WAN), AWS (VPC, Transit Gateway, Direct Connect), and GCP (VPC, Cloud Interconnect, VPC-SC).
  • Experience building and operating observability platforms, including tools such as Prometheus, Grafana, Datadog, PagerDuty, ThousandEyes, Splunk, or equivalent solutions, with a focus on network telemetry and flow analysis.
  • Deep expertise in automation, including Ansible, Terraform, Python, and self-healing infrastructure pipelines.
  • Hands-on experience with infrastructure as code (IaC), CI/CD pipelines, Kubernetes (AKS, EKS, GKE), and all three major cloud platforms.
  • Strong programming skills in Python or Go for tooling, automation, and system integrations.
  • Experience leading P1, P2, and P3 incident management, including ITSM integration (ServiceNow preferred).
  • Exceptional communication skills, with the ability to translate complex technical concepts into clear business value for engineering, product, and executive stakeholders.

Preferred qualifications
  • Experience with AIOps, including AI-assisted network fault detection, anomaly correlation, and auto-remediation.
  • Familiarity with agentic AI workflows, including LLM-based agents and RAG patterns, applied to observability and operational use cases.
  • Background in global WAN architectures, including MPLS and resilience strategies for multi-region enterprise environments.
  • Experience with compliance-driven disaster recovery and business continuity (DR/BCP) programs, including InfoSec audits, SOX, and ISO 22301 requirements.
  • Experience with FinOps and multi-cloud cost observability, including network egress visibility and cost optimization across Azure, AWS, and GCP.
  • Relevant cloud certifications, such as Azure AZ-700 or AZ-305, AWS ANS-C01 or SAP-C02, and GCP Professional Cloud Network Engineer or Architect.
  • Background in HPC, on-premises, or hybrid cloud environments.

Our commitment
We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results.
Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Company's intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees.
Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. 'On-site Flex' you'll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. 'Virtual Flex' you'll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.
#LI-DM1
Salary
CA San Francisco Bay Area Salary Range for this position: $114,000.00 - $253,000.00.
The above salary range for this position is relevant to applicants that reside or work onsite in the California, San Francisco Bay Area only. Salary offers will depend on factors that include the location you work from, your level, education, training, specific skills, years of experience and comparison to other employees already in this role. Actual salary may vary from salary offered due to numerous factors including but not limited to unpaid time off, unpaid leave, company mandated shutdown, and other relevant factors.
Our Perks and Benefits
At Lam, our people make amazing things possible. That's why we invest in you throughout the phases of your life with a comprehensive set of outstanding benefits.

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About Lam Research

Sourced by ZipRecruiter

Lam Research designs and builds products for semiconductor manufacturing, including equipment for thin film deposition, plasma etch, photoresist strip, and wafer cleaning processes.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Fremont, CA, US

Year founded

1980

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