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Network Reliability Engineer Jobs (NOW HIRING)

Eli Lilly and Company

Reliability Engineer

Indianapolis, IN · On-site

$98K - $123K/yr

The PPN Network Reliability engineer position is part of the Engineering Tech Center, with a focus on discipline stewardship and leadership of our Reliability program. This position is part of the ...

Eli Lilly and Company

Reliability Engineer

Indianapolis, IN · On-site

$98K - $123K/yr

The PPN Network Reliability engineer position is part of the Engineering Tech Center, with a focus on discipline stewardship and leadership of our Reliability program. This position is part of the ...

Optimum

Associate Engineer, SRE IP

Bethpage, NY · On-site

$58.25 - $77.50/hr

As a Level 1 IP Network SRE, you will support the monitoring, operation and stability of core IP transport systems. You will work with senior network engineers to automate repetitive tasks, respond ...

Atlas Roofing Corporation

Reliability Engineer

Franklin, OH · On-site

$94K - $118K/yr

... network of manufacturing plants and distribution facilities in the United States, Canada, and ... The Reliability Engineer is responsible for improving the reliability, availability, and ...

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Network Reliability Engineer information

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How much do network reliability engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for network reliability engineer in the United States is $117,973.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,500.00 and $129,000.00 per year, depending on experience, location, and employer.

What is a network reliability engineer?

A Network Reliability Engineer (NRE) is an IT professional responsible for ensuring the reliability, performance, and scalability of network systems. They combine skills in networking, software engineering, and automation to proactively detect and resolve potential network issues before they affect users. NREs often design and implement monitoring tools, automate network management tasks, and work to improve the overall stability of network infrastructure. Their goal is to minimize downtime and ensure seamless connectivity across an organization’s network.

What is the difference between Network Reliability Engineer vs Network Operations Center (NOC) Technician?

AspectNetwork Reliability EngineerNetwork Operations Center (NOC) Technician
CertificationsCCNA, CCNP, Network+CCNA, Network+
Work EnvironmentDesign, analyze, and improve network infrastructureMonitor, troubleshoot, and maintain networks in real-time
Employer & Industry UsageTelecom, large enterprises, cloud providersISPs, data centers, enterprise networks
Common Search & ComparisonFocus on network reliability and designFocus on network monitoring and incident response

The main difference is that Network Reliability Engineers focus on designing and improving network systems to ensure long-term reliability, while NOC Technicians monitor and troubleshoot networks in real-time to resolve issues quickly. Both roles require relevant certifications and are essential in maintaining network performance, but they serve different functions within network management.

What are the key skills and qualifications needed to thrive as a network reliability engineer, and why are they important?

To thrive as a Network Reliability Engineer, you need a strong background in computer networking, network protocols, troubleshooting, and often a degree in computer science or a related field. Familiarity with tools like Wireshark, Nagios, Cisco IOS, and certifications such as CCNA or CCNP are commonly required. Analytical thinking, proactive problem-solving, and effective communication are standout soft skills in this role. These skills are crucial to maintaining reliable network operations, minimizing downtime, and ensuring seamless communication across organizational systems.

What are some common challenges faced by network reliability engineers, and how are they typically addressed?

Network Reliability Engineers often encounter challenges such as diagnosing intermittent connectivity issues, managing network upgrades with minimal downtime, and maintaining high availability during peak traffic. These are typically addressed by leveraging robust monitoring tools, implementing automation for routine tasks, and collaborating closely with software engineers, network administrators, and incident response teams. Staying current with evolving network technologies and best practices is essential for effectively identifying and resolving problems before they impact users.
More about Network Reliability Engineer jobs
What cities are hiring for Network Reliability Engineer jobs? Cities with the most Network Reliability Engineer job openings:
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Network Reliability Engineer jobs near you
Infographic showing various Network Reliability Engineer job openings in the United States as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $117,973 per year, or $56.7 per hour.

Senior Network Reliability Engineer - DGX Cloud

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $167K/yr

Full-time

Re-posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 242 rated software companies

Job description

NVIDIA is looking for a Senior Network Reliability Engineer to support and maintain our cloud and datacenter network infrastructures. This network serves the needs across the whole software stack for NVIDIA, from Graphics Drivers to Autonomous Vehicles and Artificial Intelligence.
In this role, the Senior Network Operations Engineer will remediate critical alerts within defined SLAs, triage production impacting network incidents, and interact with internal customers on network related issues. They will also be responsible for engaging with external vendors to remediate hardware and software issues, and participate in project related work such as network device upgrades and capacity augmentations. An ideal candidate will possess a wide range of skills, including alert monitoring & resolution in large-scale networks and CSP environments, outstanding troubleshooting skills, understanding of L3 underlay networks, and network protocol knowledge in large multi-vendor infrastructures.
What you will be doing:
  • Engage in 24/7 global shift rotations to provide remote support for network repairs and changes while collaborating across teams and updating customers on status and ticket information.
  • Drive operational improvements in change management and daily operations by following procedures.
  • Manage and operate large scale IP network technologies and infrastructures.
  • Utilize your skills in Peering and Datacenter interconnect technologies: PNI, Transit, Exchange, Passive DWDM, Wave circuits.
  • Monitor and support the network health of on-premises and cloud infrastructures.
  • Collaborate and develop workflow enhancements while documenting best practices.

What we need to see:
  • Deep knowledge and experience of TCP/IP, BGP, OSPF, MPLS, IS-IS, VxLAN, EVPN, QoS, GRE, IPsec, DNS, and MACsec.
  • 5+ years of experience in network operations.
  • Skilled in network troubleshooting techniques and demonstrating creative problem-solving abilities.
  • Strong track record of alert response within defined SLAs and Incident management.
  • Experience with one or more of the following CSP environments: AWS, Azure, GCP, OCI.
  • Familiarity with Arista, Fortinet and Juniper.
  • Hands-on experience with contributing to tooling and automation for provisioning, monitoring, and managing complex network infrastructures.
  • Bachelor's degree in Computer Science, related technical field, or equivalent experience.
  • Excellent verbal and written communication skills.

Ways To Stand Out From The Crowd:
  • Solid understanding of Mellanox/Cumulus OS and Infiniband technology.
  • Skilled in Unix/Linux system administration, with the ability to write and understand Python/Shell scripts to improve efficiency in hyperscale environments.
  • Familiarity with leveraging tools such as Netbox/Nautobot, Prometheus, Grafana, Panoptes to monitor and manage a global network. Passionate about innovating and investing in ground breaking technologies.

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hard-working people in the world working for us. Are you creative and autonomous? Do you love a challenge? If so, we want to hear from you. NVIDIA's deep learning platforms have made major impact to various fields is broadly used across leading academic institutions, start-ups, and industry, including the world's largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these outstanding opportunities in deep learning cloud solutions.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 136,000 USD - 224,250 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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