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A10 Networks Jobs (NOW HIRING)

Front Office Coordinator The Front Office Coordinator serves as the face of A10 Networks and the first point of contact for employees, candidates, customers, vendors, and visitors. This role is ...

Front Office Coordinator The Front Office Coordinator serves as the face of A10 Networks and the first point of contact for employees, candidates, customers, vendors, and visitors. This role is ...

Network Support Engineer

San Jose, CA · On-site

$115K - $120K/yr

Network Support Engineer As a Senior Network Engineer, you will directly interact with customers and other functional groups within A10 Networks to troubleshoot, identify and resolve product ...

Network Engineer

San Jose, CA · On-site

$145K/yr

A10 Networks is an equal opportunity employer and a VEVRAA federal subcontractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex ...

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A10 Networks information

What does an A10 Networks engineer do?

An A10 Networks engineer specializes in deploying, configuring, and maintaining A10 Networks products such as application delivery controllers (ADCs), load balancers, and security appliances. They work to optimize network performance, enhance security, and ensure high availability for applications and services. Their responsibilities often include troubleshooting network issues, managing traffic, and implementing advanced features like SSL offloading and DDoS protection.

What are the key skills and qualifications needed to thrive as an A10 Networks engineer?

To thrive as an A10 Networks Engineer, you need a solid understanding of networking fundamentals, load balancing, and security, typically backed by a degree in computer science or a related field. Familiarity with A10 Thunder Series appliances, scripting languages, and certifications such as A10 Certified Professional are highly valuable. Strong problem-solving skills, attention to detail, and effective communication help you excel in troubleshooting and supporting complex network environments. These skills are crucial for ensuring high availability, security, and optimal performance of network infrastructure.

What is the difference between A10 Networks vs Network Security Engineer?

AspectA10 NetworksNetwork Security Engineer
CertificationsVendor-specific (e.g., A10 Certified Professional)CCNA, CISSP, CompTIA Security+
Work EnvironmentNetworking hardware and application deliverySecurity protocols, firewalls, intrusion detection
Industry UsageData centers, service providers, enterprise networksCybersecurity, network protection, threat mitigation

While A10 Networks professionals focus on application delivery and network optimization using A10 hardware and software, Network Security Engineers specialize in protecting networks from threats through security tools and protocols. Both roles require networking knowledge, but their focus areas differ, with A10 Networks emphasizing application performance and Network Security Engineers emphasizing security measures.

More about A10 Networks jobs

What cities are hiring for A10 Networks jobs?

Cities with the most A10 Networks job openings:

What states have the most A10 Networks jobs?

States with the most job openings for A10 Networks jobs include:

Infographic showing various A10 Networks job openings in the United States as of August 2026, with employment types broken down into 37% Full Time, 62% Part Time, and 1% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Senior Staff Engineer - AI ADC (San Jose)

A10 Networks, Inc.

San Jose, CA • On-site

$180K - $195K/yr

Full-time

Posted 26 days ago


Job description

Senior Staff Engineer - AI ADC, A10 Networks.

A10 Networks is accelerating its AI‑driven innovation across the ADC and GSLB product lines. We are seeking a highly experienced Sr. Staff Engineer to be part of the development of next‑generation AI‑aware traffic management and AI Gateway capabilities. This role combines deep domain expertise in Application Delivery Controllers (ADC), Server Load Balancing (SLB), DNS/GSLB, with practical experience in AI/LLM systems, to build intelligent routing, inference‑aware load balancing, and Layer‑8 contextual decision engines for AI workloads. The ideal candidate is a senior staff engineer who can drive architecture, design, prototyping, and execution—working closely with product management, platform teams, and AI strategy groups.

Key Responsibilities
  • Lead architecture and development of AI Gateway components for intelligent routing of LLM/AI application traffic.
  • Design and implement LLM‑aware load balancing, incorporating semantic, token, latency, and model‑level insights into traffic decisions.
  • Develop enhancements for ADC and GSLB platforms to support AI workloads, including token‑aware rate limiting, inference latency‑based routing, AI model endpoint discovery and health checks, integration with vector databases, model registries, and ML observability systems.
  • Contribute to advanced features including Layer‑8 context‑aware routing, adaptive traffic shaping, and AI‑driven anomaly detection.
  • Drive system‑wide architecture: data plane, control plane, configuration, and distributed state management.
  • Mentor engineering teams on AI workload behaviors, traffic characteristics, and tuning strategies.
  • Collaborate with AI research and platform teams to align architectural decisions with product roadmap.
  • Create guidance on performance optimization, benchmarking, and scaling for global multi‑node deployments.
  • Ensure high standards for reliability, security, observability, and cloud‑native deployment models.
Required Qualifications
  • Advanced degree in Computer Science, Networking, or related field (MS/PhD preferred).
  • Deep knowledge of L4–L7 protocols (TCP/TLS/HTTP/2/3, QUIC), load balancing algorithms and GSLB strategies (DNS‑based, HTTP redirect, anycast).
  • Strong programming skills in C/C++ (data plane), Go/Python (control/ML), and performance profiling (perf, eBPF, flamegraphs, VTune/nvprof).
  • Applied ML: anomaly detection, time‑series forecasting, classification; experience with PyTorch/TensorFlow.
  • Hands‑on experience with AI/ML systems, including model inference pipelines, LLM API integrations, token‑level behavior and performance characteristics.
  • Understanding of AI workload routing challenges (latency, caching, batching, multi‑model orchestration).
  • Strong architectural and design skills; able to lead complex technical initiatives end‑to‑end.
  • Demonstrated ability to influence cross‑functional teams and drive consensus.
Key Attributes
  • Passion for emerging AI technologies and applying them within network infrastructure.
  • Deep systems thinking and ability to design for performance, scale, and robustness.
  • Strong ownership mindset with ability to deliver impactful architectural outcomes.
  • Excellent communication and collaboration skills.

Targeted compensation guideline: $180,000 - $195,000.

A10 Networks is an equal opportunity employer and a VEVRAA federal subcontractor. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. A10 also complies with all applicable state and local laws governing nondiscrimination in employment.

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