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Aryaka Jobs (NOW HIRING)

Lead Infrastructure Engineer

Deerfield, IL

$109K - $143K/yr

Support enterprise network infrastructure including Cisco Route/Switch, Arista, Fortinet firewalls, Aryaka SD-WAN, and Juniper Mist Wireless. * Ensure optimal system performance, including uptime ...

Showing results 21-23

Aryaka information

What is Aryaka?

Aryaka is a global company that provides managed SD-WAN (Software-Defined Wide Area Network) and network connectivity solutions for enterprises. Their services help businesses optimize and accelerate the performance of applications across distributed locations, including branch offices and remote users. Aryaka's solutions are often used to improve cloud application performance, ensure reliable network connectivity, and simplify IT infrastructure management for global organizations.

What is the difference between Aryaka vs Network Engineer?

AspectAryakaNetwork Engineer
Required CredentialsNetworking certifications (e.g., CCNA, CCNP), technical skillsNetworking certifications, technical skills, sometimes vendor-specific
Work EnvironmentGlobal network infrastructure, cloud-based solutions, remote and on-siteCorporate or data center environments, on-site and remote
Industry UsageTelecommunications, cloud services, managed network solutionsIT departments, service providers, enterprise networks
Common Search/ComparisonFocus on SD-WAN, cloud connectivity, managed network servicesFocus on network design, troubleshooting, hardware setup

While Aryaka specializes in managed SD-WAN and cloud connectivity solutions, Network Engineers design, implement, and troubleshoot network infrastructure. Both roles require networking certifications and technical expertise, but Aryaka professionals often work with managed services and cloud integrations, whereas Network Engineers focus on internal network setup and maintenance.

What are some common challenges faced by network engineers working at Aryaka, and how can they be addressed?

Network engineers at Aryaka often work with global enterprises to deliver high-performance SD-WAN and cloud connectivity solutions. A common challenge is managing complex, distributed networks while ensuring minimal downtime and consistent quality of service. To address these challenges, engineers frequently collaborate with cross-functional teams, leverage advanced monitoring tools, and participate in continuous training to stay updated on evolving networking technologies. The company's collaborative environment and access to cutting-edge resources help engineers effectively resolve issues and grow their expertise.

What are the key skills and qualifications needed to thrive as an Aryaka network engineer?

To thrive as an Aryaka Network Engineer, you need a solid understanding of networking concepts, WAN optimization, and typically a degree in computer science or a related field. Experience with Aryaka’s SD-WAN platform, network monitoring tools, and relevant certifications such as CCNA or Aryaka Certified Network Professional are often expected. Strong problem-solving skills, adaptability, and effective communication are critical soft skills in this role. These competencies ensure reliable network performance, efficient troubleshooting, and seamless collaboration with clients and team members.
More about Aryaka jobs

What states have the most Aryaka jobs?

States with the most job openings for Aryaka jobs include:

Infographic showing various Aryaka job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, and 14% Contract. Highlights an 29% Physical, 21% Hybrid, and 50% Remote job distribution.

Senior Director, Enterprise Networking

Nvidia

Santa Clara, CA • Hybrid

$127K - $173K/yr

Full-time

Re-posted 12 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies


Job description

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. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world!

NVIDIA's Enterprise Infrastructure organization is seeking a Senior Director, Enterprise Networking to lead the strategy, architecture, deployment, and operations of NVIDIA's global enterprise network. This is a critical leadership role responsible for the end-to-end network that connects NVIDIA's offices, campuses, HPC data centers, labs, and cloud environments worldwide. As NVIDIA scales at an unprecedented pace to power the AI revolution, this leader will drive Agentic AI-based transformation of our enterprise network to match the velocity, reliability, and security demands of the world's leading AI company.

What you'll be doing:

  • Set the technical vision, strategy, and multi-year roadmap for the global enterprise network, spanning on-prem and cloud environments.

  • Lead the design, deployment, and operation of wired/wireless office networks, campus edge, and robust SD-WAN/POP/WAN architecture for resilient global connectivity leveraging Agentic AI.

  • Drive HPC data center networking, including high-speed interconnects, spine-leaf fabrics, and capacity planning for GPU-dense research and engineering infrastructure.

  • Architect and manage on-ramp to cloud connectivity, including direct peering, interconnects, and hybrid network integration with major CSPs (AWS, Azure, GCP).

  • Oversee network firewall and security infrastructure, including NGFW, segmentation, micro-segmentation, NAC, and Zero Trust access, in partnership with Cybersecurity.

  • Establish agentic, data-driven, SRE-oriented operating model with well-defined SLOs, observability, automation, and continuous improvement across all network domains.

  • Build, mentor, and scale a globally distributed engineering organization spanning architecture, design, deployments, and network site reliability engineering, transforming team and processes to leverage agentic AI.

  • Partner cross-functionally (IT, Security, Real Estate, Facilities, Cloud Engineering) to ensure network readiness for all business needs, and represent networking at the executive level by translating complexity into business outcomes and investment priorities.

What we need to see:

  • Bachelor's degree in Computer Science, Electrical Engineering, or related technical field, or equivalent experience

  • 18+ years of overall experience in network engineering, architecture, and operations, with 10+ years of leadership experience managing large, geographically distributed network teams

  • Deep expertise across enterprise networking domains: LAN/WLAN, WAN/SD-WAN, data center networking, campus edge, network security, and cloud connectivity

  • Proven track record of transforming network operations at scale - moving from traditional NOC models to modern, software-driven SRE and agentic AI first approaches

  • Experience operating networks in hyperscale or large enterprise environments with thousands of network devices across multiple geographies

  • Strong command of network security architecture, including NGFW, NAC (ISE/similar), network segmentation, IPsec VPN, and Zero Trust principles

  • Demonstrated ability to build and develop high-performing teams, including hiring, mentoring, and succession planning across multiple management layers

  • Exceptional executive communication skills - able to translate technical infrastructure priorities into business language for senior leadership

  • Experience managing vendor relationships and technology evaluations across networking platforms (Arista, Cisco, Juniper/Mist, Palo Alto, Aryaka, or similar)

Ways to stand out from the crowd:

  • Experience at a hyperscale cloud service provider, large technology, AI, or HPC-focused organization, with familiarity in HPC and AI cluster networking (InfiniBand, Spectrum-X, RDMA/RoCE).

  • Background in network automation and infrastructure-as-code (Terraform, Ansible, Python, Netconf/YANG).

  • Experience implementing SRE principles (observability, SLOs/SLIs, incident management, runbook automation) leveraging AI/ML and AI agents.

  • Deployed cloud networking and hybrid architectures across AWS, Azure, and GCP.

  • Track record of operating networks supporting rapid physical expansion (new office builds, lab stand-ups, and data center deployments).

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!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 332,000 USD - 500,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 8, 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


Nvidia logo

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