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Content Delivery Network Jobs in California (NOW HIRING)

Senior Staff Platform Engineer

Santa Clara, CA · On-site

$122K - $168K/yr

The role spans distributed systems, cloud, networking, content delivery, automation, and reliability engineering. Success means turning complex infrastructure challenges into resilient platforms that ...

The role spans distributed systems, cloud, networking, content delivery, automation, and reliability engineering. Success means turning complex infrastructure challenges into resilient platforms that ...

Content Creator

Los Angeles, CA · On-site

$20 - $22/hr

The FOX Television Network, which encompasses its flagship linear platform and streaming ... Pitch and deliver breaking news stories in a way that feels natural, captivating, and aligned with ...

Design, build, and scale a new Content Delivery Network (CDN) for Starlink * Build robust, responsive, and scalable distributed systems. * Build the necessary tools, visibility, and alerting ...

Design, build, and scale a new Content Delivery Network (CDN) for Starlink * Build robust, responsive, and scalable distributed systems. * Build the necessary tools, visibility, and alerting ...

About the Role Verkada is seeking an Technical Content Architect to own the development, delivery ... Translate complex product capabilities, networking concepts, and system design principles into ...

Instructional Designer

San Mateo, CA · On-site

$74K - $100K/yr

By collaborating closely with the Technical Content Architect and the Technical Content Delivery ... Foundational technical literacy (or strong comfort level learning) in cloud networking, IoT ...

New

Instructional Designer

San Mateo, CA · On-site

$74K - $100K/yr

By collaborating closely with the Technical Content Architect and the Technical Content Delivery ... Foundational technical literacy (or strong comfort level learning) in cloud networking, IoT ...

New

Showing results 21-40

Content Delivery Network information

See California salary details

$31

$48

$61

How much do content delivery network jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for content delivery network in California is $48.10, according to ZipRecruiter salary data. Most workers in this role earn between $36.30 and $61.68 per hour, depending on experience, location, and employer.

What is a content delivery network (CDN)?

A Content Delivery Network (CDN) is a system of distributed servers that deliver web content and other digital assets to users based on their geographic location. CDNs help improve website load times, reduce latency, and enhance security by caching content closer to end users. This technology is widely used to support high-traffic websites, streaming media, and online applications, ensuring reliable and fast content delivery around the world.

What are the key skills and qualifications needed to thrive as a content delivery network (CDN) engineer?

To thrive as a Content Delivery Network (CDN) Engineer, you need a solid background in networking, web technologies, and systems administration, often supported by a degree in computer science or a related field. Familiarity with CDN platforms (such as Akamai, Cloudflare, or AWS CloudFront), scripting languages, and network monitoring tools is crucial. Strong problem-solving skills, attention to detail, and effective communication set top professionals apart in this role. These skills ensure efficient, reliable content delivery and rapid issue resolution, which are vital for optimal user experience and website performance.

What are the main challenges faced by professionals working with content delivery networks (CDNs) in a technical role?

Professionals working with CDNs often encounter challenges such as optimizing content delivery for global users, managing latency, and ensuring high availability during traffic spikes or outages. Balancing cost efficiency with performance can be complex, especially when dealing with large-scale deployments or integrating with other cloud services. Additionally, staying updated with evolving security threats, such as DDoS attacks, requires continuous learning and proactive management. Collaboration with development, operations, and security teams is key to maintaining an effective and resilient CDN infrastructure.

What is the difference between Content Delivery Network vs Web Developer?

AspectContent Delivery NetworkWeb Developer
Primary RoleDistributes digital content efficiently across servers worldwideDesigns, builds, and maintains websites and web applications
Required SkillsNetworking, server management, CDN platformsHTML, CSS, JavaScript, programming languages
Work EnvironmentIT infrastructure, data centers, cloud servicesOffice, remote, or client sites, development teams
CertificationsNetworking, cloud certifications (e.g., AWS, Cisco)Web development, programming certifications

While a Content Delivery Network focuses on optimizing content delivery through network infrastructure, a Web Developer creates and maintains websites. Both roles are essential in the digital ecosystem but serve different functions and require distinct skill sets.

What does a content delivery network do?

A Content Delivery Network (CDN) is a system of distributed servers that deliver web content to users based on their geographic location, improving website load times and reducing server load. CDN specialists manage server configurations, optimize content caching, and monitor network performance to ensure fast and reliable content delivery.

What are popular job titles related to Content Delivery Network jobs in California?

For Content Delivery Network jobs in California, the most frequently searched job titles are:

Infographic showing various Content Delivery Network job openings in California as of August 2026, with employment types broken down into 1% As Needed, 67% Full Time, 30% Part Time, and 2% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $100,039 per year, or $48.1 per hour.

Senior Staff Platform Engineer

Nvidia Corporation

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Posted 15 days ago


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 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.
Ready to build the platforms that make AI at scale possible? NVIDIA is seeking a Senior Staff Platform Engineer to architect, build, and scale foundational infrastructure for some of our most demanding compute and AI/ML workloads. The role spans distributed systems, cloud, networking, content delivery, automation, and reliability engineering. Success means turning complex infrastructure challenges into resilient platforms that can grow with NVIDIA's rapidly evolving needs. This is a hands-on technical leadership role with broad influence across Cloud, Networking, Security, AI/ML, and Developer Infrastructure teams.
What You Will Be Doing:
This role focuses on architecting, building, and scaling highly available platform services for AI/ML, distributed compute, and data-intensive workloads. The work spans cloud, compute, GPU infrastructure, networking, storage, DNS, load balancing, proxies, traffic management, and content delivery, with end-to-end ownership from architecture and design through implementation, production readiness, and large-scale adoption. A key part of the role is advancing CDN and edge infrastructure, including HTTP caching, origin architecture, TLS, WAF, rate limiting, traffic routing, and global load balancing. The role also drives automation, infrastructure-as-code, and self-service capabilities using technologies such as Python, Go, Kubernetes, and Terraform. Observability, capacity analytics, incident learnings, and performance data are used to continuously improve reliability, scalability, efficiency, and operational simplicity. Close collaboration with Cloud, Networking, Security, AI/ML, and infrastructure teams is central to solving complex problems that span multiple technology domains.
What We Need To See:
  • Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or a related technical field, or equivalent experience
  • 12+ years of relevant industry experience.
  • Proven success architecting, building, and operating large-scale distributed platforms or infrastructure systems in production.
  • Strong technical depth in several areas such as cloud infrastructure, distributed systems, networking, compute, storage, platform engineering, or content delivery.
  • Deep knowledge of Linux/Unix, TCP/IP, DNS, TLS, HTTP/S, proxies, load balancing, availability, scalability, and fault-tolerant system design.
  • Strong programming and automation skills with Python, Go, or similar languages, plus hands-on experience with infrastructure-as-code and orchestration.
  • Experience with AWS, Azure, or Google Cloud Platform and the ability to troubleshoot complex systems across application, operating system, network, and infrastructure layers.
  • Demonstrated ability to independently drive architecture and implementation across multiple teams, communicate effectively in complex situations, and mentor other engineers.

Ways To Stand Out From The Crowd:
  • Experience building platforms for AI/ML training, inference, model serving, GPU-accelerated workloads, distributed compute, or high-performance computing.
  • Deep expertise with CDN and edge platforms such as Akamai, AWS CloudFront, Fastly, or Cloudflare, including caching, origin design, WAF, DNS, TLS, and global traffic management.
  • Experience developing self-service platform capabilities that enable engineering teams to consume infrastructure reliably and at scale.
  • Proven use of SLIs, SLOs, error budgets, capacity analytics, and reliability metrics to deliver measurable improvements.
  • Experience distributing models, datasets, containers, software artifacts, or other large objects across globally distributed environments.

Want to work on infrastructure where scale, AI, networking, and reliability come together? Join us!
Widely considered to be one of the technology world's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until August 23, 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

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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