Sr Site Reliability Engineer

What you'll do

• Design, build, and scale a global network platform spanning physical datacenters and multi-cloud environments across AWS, Azure, and Alibaba Cloud
• Support thousands of hosts worldwide, engineering reliable and efficient solutions to petabyte-scale data challenges
• Own troubleshooting and resolution of complex network issues, upholding high availability and performance across the entire infrastructure footprint
• Lead root cause analysis and postmortems, turning incidents into actionable improvements that raise the bar for operational excellence
• Eliminate toil by building tools, automating workflows, and continuously improving team processes
• Share responsibility for network integrity through participation in a global, follow-the-sun on-call rotation

Requirements

• 6-8 years of hands on network automation and operational experience supporting large scale production infrastructure
• Software-first mindset with strong development and networking experience
• Deep expertise in TCP/IP, OSI model, and large-scale IP networking protocols including BGP and OSPF
• Hands-on experience with Kubernetes networking technologies such as Cilium and Calico
• Solid understanding of container network interfaces (CNIs)
• Experience managing software load balancers like NGINX Ingress, Envoy, or HAProxy in large-scale production environments
• Skilled at troubleshooting and performance tuning in Kubernetes and Docker environments, with a focus on networking
• Experience running Kubernetes clusters on bare-metal is a plus
• Proficiency in advanced networking technologies including IPv6 configuration and transition strategies, SDN and SDN controller experience, QoS implementations and bandwidth management
• Experience operating network devices at scale using network operating systems such as SONiC, Cisco IOS, JunOS, Arista EOS, or Nokia SR Linux/SR OS
• Comfortable with monitoring and alerting systems, writing complex rules and time-series queries using tools like Prometheus and Grafana
• Practice infrastructure-as-code and apply DevOps and SRE principles to build and manage networks programmatically
• Ability to build robust workflows and pipelines to test and safely deploy changes to production
• Interest or background in platform engineering and building infrastructure to support large-scale distributed systems
• Proficient in creating automation and building tools using Python or Go
• Experience integrating AI tools (LLMs, MCP, agentic workflows) into engineering processes to automate tasks and improve development velocity

Tech stack