The Network Support and SRE team is in search of a seasoned Network Operations Engineer to help actualize the SRE vision for our network infrastructure. This role demands a unique blend of hands-on expertise in network operations, engineering, and observability. A proficient Network SRE is dedicated to enhancing network operations, diligently working to minimize manual labor and achieve Service Level Objectives (SLOs). Our approach includes minimizing reactive operational tasks, conducting blameless postmortems, and proactively identifying and mitigating network risks to foster continuous improvement. This is crucial for ensuring client satisfaction and maintaining an engaging, varied work environment. We encourage autonomy in tackling significant projects and are committed to fostering a supportive atmosphere that offers the mentorship necessary for professional development and growth.
What you will be doing:
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Owning the operational aspect of the network infrastructure, ensuring its high availability and reliability.
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Partnering with architecture, tooling, and deployment teams to guarantee that new implementations are supportable and align with production standards.
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Advocating for and implementing automation to reduce toil and enhance operational efficiency.
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Monitoring network performance, identifying areas for improvement, and coordinating with relevant teams to execute enhancements.
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Leading the network support team towards a culture of reliability and operational excellence.
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Collaborating with SMEs to resolve production issues swiftly and effectively, maintaining customer satisfaction.
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Identifying opportunities for operational improvements and partnering with teams to develop solutions that drive excellence and sustainability in network operations.
What we need to see:
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BS degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience.
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Minimum of 8 years of industry experience in network site reliability engineering, network operations, or related areas. Experience on both campus and data center networks.
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In depth expertise in network technologies such as TCP/UDP, IPv4/IPv6, Wireless, BGP, VPN, L2 switching, , Firewalls, Load Balancers, EVPN, VxLAN, Segment Routing. Proven track record in network operations.
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Experience in one or more of the following: Python, Perl, Bash.
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Familiarity with network management tools such as Prometheus, Grafana, Alert Manager, Nautobot/Netbox, Netdisco
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Knowledge of Linux system fundamentals is a plus.
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Systematic problem-solving approach, coupled with excellent communication skills and a sense of ownership and drive.
Ways to stand out from the crowd:
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Support Automation: Track record of taking operational signals through means such as SNMP, Syslog, Streaming Telemetry to solve operational challenges
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Code Optimization: Ability to debug and optimize code; automate routine tasks.
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Platform Exposure: Experience with Mellanox/Cumulus Linux, Palo Alto firewalls, Netscalers and F5 load balancers
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Previous SRE experience
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!
The base salary range is 164,000 USD - 310,500 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and benefits. NVIDIA accepts applications on an ongoing basis.
NVIDIA is committed to fostering a diverse 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.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”