Senior Site Reliability Engineer (Cloud and Networking)- Remote

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Details

Owning the SRE lifecycle for NodeBalancer and Network Load Balancer — from design reviews and pre-rollout readiness assessments through production sign-off and ongoing reliability management
Designing and implementing SLO/SLI frameworks that reflect true customer experience for L4 and L7 load balancing services, and driving action when error budgets are at risk
Building and maintaining observability pipelines for NB/NLB infrastructure, including Prometheus metrics from load balancing components and system-level sources, and Grafana dashboards that enable rapid incident triage
Leading technical incident response for complex NB/NLB failures — BGP/VIP issues, failover failures, data plane degradations, and configuration problems — acting as the technical commander and driving root cause analysis and preventive follow-through
Developing and automating safe deployment workflows for phased NB/NLB releases, including bake period monitoring, feature flag management, and GO/NO-GO validation across global datacenter rollouts
Reviewing design documents, product requirement Documents and producing actionable SRE input on operational risks, capacity implications, Day-2 concerns, and product strategy gaps
Building automation and tooling using Python or Go that reduces operational toil and improves team-wide operational capability
Mentoring SRE II engineers on the NB team, providing hands-on technical guidance, code/config reviews, and raising the bar for the team's SRE practice
Participating in an on-call rotation for NB/NLB production systems, responding to incidents and driving resolution for customer-facing load balancing infrastructure
Participate in a scheduled, daytime-only on-call rotation to spearhead technical incident response and resolve complex NB/NLB failures..

To be successful in this role you will:

Have extensive experience in SRE, platform engineering, or infrastructure engineering, working with large-scale distributed systems
Demonstrate deep expertise with Linux networking fundamentals — routing, BGP, nftables/iptables, ARP, VXLAN — and comfort diagnosing at the packet level using tcpdump, netstat, and similar tools
Have hands-on experience with L4/L7 load balancing technologies — including proxy-based or kernel-level load balancers — covering configuration, health checking, high availability, and failure modes at scale
Show a track record of defining SLO/SLI frameworks, building observability platforms from scratch, and running incident management processes at scale
Demonstrate expertise in Kubernetes and containerization at scale — including workload scheduling, networking (CNI, Services, ingress), resource management, and operating stateful or network-intensive workloads in a cluster environment
Build automation and tooling using Python or Go, with infrastructure-as-code experience (SaltStack, Ansible, or Terraform) and strong deployment safety instincts
Demonstrate 4+ years in SRE or infrastructure engineering, with at least 2 years at cloud scale