Staff Site Reliability Engineer- Networking.

Accountabilities

• Define and own the technical direction for networking across a hybrid infrastructure, covering physical data center networks, Google Cloud Platform (GCP) VPC architecture, Kubernetes networking, and edge protection.

• Design, develop, and automate core networking capabilities, including load balancing, ingress, routing, DNS, BGP peering, and TLS termination, integrating infrastructure changes into GitOps pipelines.

• Lead cross-data-center resilience initiatives for globally distributed on-premises scanning infrastructure, including failover architecture, disaster recovery, and workload continuity.

• Develop and maintain edge protection strategies for internet-facing platforms, including Distributed Denial of Service (DDoS) mitigation, Web Application Firewall (WAF) solutions, and traffic engineering.

• Ensure network infrastructure delivers the reliability, availability, performance, and scalability required to support large-scale scanning operations and customer-facing APIs.

• Establish networking and reliability standards across engineering teams, identifying architectural improvements, technical debt, and opportunities to strengthen infrastructure resilience.

• Lead multi-quarter infrastructure initiatives, developing technical proposals, securing cross-functional alignment, and influencing architectural decisions across teams.

• Mentor and support Site Reliability Engineering (SRE) team members, strengthening internal networking expertise through knowledge sharing, technical guidance, and sustainable engineering practices.

• Act as a senior escalation point for complex production incidents involving application, Kubernetes, and physical network infrastructure.

• Continuously improve network automation, monitoring, health checks, certificate lifecycle management, traffic management, and capacity planning processes.

Requirements:

• At least 10 years of experience in network engineering, Site Reliability Engineering (SRE), or infrastructure engineering, with a proven track record of managing and improving production networking environments.

• Deep understanding of networking fundamentals, including TCP/IP, BGP, anycast, DNS, TLS, and large-scale load balancing.

• Demonstrated experience designing, building, and operating hybrid infrastructure spanning physical data centers and public cloud environments, ideally Google Cloud Platform (GCP).

• Strong knowledge of Kubernetes networking, including Container Network Interface (CNI), ingress controllers, and service mesh technologies.

• Experience developing software and automation tools for network infrastructure, including health-checking services, certificate lifecycle management, traffic management, and operational tooling using programming languages such as Go or Python.

• Proficiency in Infrastructure as Code (IaC) and GitOps practices, with hands-on experience using tools such as Terraform, Crossplane, ArgoCD, or equivalent technologies.

• Experience designing and implementing highly available network architectures, disaster recovery strategies, cross-data-center failover, and infrastructure resilience programs.

• Strong technical leadership skills, with the ability to influence architectural decisions, lead complex initiatives, and gain alignment across teams without relying on formal authority.

• Excellent written and verbal communication skills, including the ability to explain complex technical incidents, infrastructure trade-offs, and reliability strategies to both technical and non-technical stakeholders.

• Proactive, ownership-driven mindset, with a bias toward action, iterative problem-solving, and continuous improvement.

Additional assets:

• Experience managing large-scale traffic delivery and network infrastructure in consumer-facing environments, such as streaming platforms, Content Delivery Networks (CDNs), or global anycast networks.

• Proven ability to eliminate repetitive operational work through automation, including TLS certificate rotation, failover testing, and capacity forecasting.

• Familiarity with internet measurement, internet scanning infrastructure, cybersecurity, or security-related network operations.

• Understanding of how large-scale scanning traffic interacts with network peering relationships, abuse reporting, and internet infrastructure providers.

• Interest in leveraging Artificial Intelligence (AI) and Large Language Models (LLMs) to improve infrastructure engineering, incident analysis, and configuration automation.

• Contributions to the wider technical community through conference presentations, open-source projects, or technical publications.

Benefits:

• Competitive compensation, with the following advertised US salary ranges depending on location:

  • USD $198,000–$233,000 annually for high-cost-of-living US markets, including San Francisco Bay Area, New York City, and Seattle.

  • USD $172,000–$216,000 annually for other US locations.

  • Additional bonus eligibility and equity compensation.

  • Comprehensive benefits package effective from the first day of employment.

  • Health, dental, and vision insurance.

  • 401(k) retirement plan with employer matching for eligible US employees.

  • Fully remote working environment.

  • Opportunity to lead critical networking architecture and influence infrastructure strategy across a globally distributed platform.

  • Collaborative engineering culture focused on technical excellence, innovation, reliability, and continuous improvement.

  • Opportunity to explore AI-powered tools and modern automation approaches to improve infrastructure operations.