Senior Staff Engineer - ACOS ADC Platform at A10 Networks in San Jose, CA

  • Company: A10 Networks
  • Location: San Jose, California
  • Salary: $180K – $195K
  • Job type: full time
  • Workplace: onsite
  • Posted: 2026-10-26

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Job description

Senior Staff Engineer - ACOS ADC Platform A10 Networks is seeking a highly experienced Senior Staff Engineer to drive the architecture, design, and development of the ACOS Application Delivery Controller (ADC) platform . This role will contribute to the evolution of core ADC capabilities including server load balancing, SSL/TLS processing, application traffic management, GSLB, observability, automation, cloud integration, and platform scalability. The ideal candidate possesses deep expertise in networking, distributed systems, and high-performance traffic processing, and can lead complex technical initiatives from concept through delivery. The role requires close collaboration with product management, engineering teams, customer-facing organizations, and platform architects to define and implement next-generation ADC capabilities. Key Responsibilities Lead architecture, design, and development of core ACOS ADC capabilities on data plane Design and enhance Layer 4 to Layer 7 traffic management features, including: Server Load Balancing (SLB) Global Server Load Balancing (GSLB) SSL/TLS offload and optimization Content switching and traffic steering Health monitoring and service discovery High Availability (HA) and clustering Develop scalable and high-performance traffic processing solutions for physical, virtual, containerized, and cloud deployments. Define and implement platform architecture for configuration management, distributed state synchronization, orchestration, and automation. Optimize system performance, throughput, latency, resource utilization, and scalability across large-scale customer deployments. Collaborate with product management and field teams to translate customer requirements into robust product capabilities. Engage on customer escalations Mentor engineers and provide technical leadership on networking, performance engineering, software architecture, and debugging methodologies. Ensure product quality through design reviews, benchmarking, performance testing, security reviews, and operational excellence practices. Contribute to technical strategy and long-term evolution of the ACOS platform Required Qualifications Education Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field. Master's degree preferred Technical Skills Deep expertise in Layer 4 through Layer 7 networking technologies, including: TCP/IP UDP TLS/SSL HTTP/1.1, HTTP/2, HTTP/3 QUIC DNS Routing and switching fundamentals Strong understanding of ADC technologies such as: Server Load Balancing Global Server Load Balancing Application traffic management Health monitoring Content switching Rate limiting and traffic shaping Strong software development and debug expertise in: C/C++ Linux systems programming Multithreaded and concurrent software design Experience developing high-performance networking or distributed systems software Strong debugging and performance analysis skills using tools such as: GDB Perf Wireshark System profiling and tracing tools Strong understanding of software architecture, design patterns, scalability, resiliency, and fault tolerance Proven ability to lead complex technical initiatives from architecture through production deployment Leadership Skills Demonstrated technical leadership across multiple teams and projects. Strong design, communication, collaboration, and mentoring skills. Ability to influence technical direction and drive consensus among stakeholders. Preferred Qualifications The following qualifications are preferred: Experience with AI, and Machine Learning technologies. Knowledge of AI inference workloads, model serving architectures, and LLM ecosystems Experience applying ML techniques to operational analytics, anomaly detection, traffic analysis, or capacity forecasting Familiarity with AI gateways, API gateways, or intelligent traffic management systems Exposure to vector databases, model registries, AI observability, or MLOps platforms Key Attri

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