As a Senior Network Operations Engineer at Together AI, you are our front-line responder for break/fix incidents—owning alert triage, collaborating with SRE and MLOps teams, and driving rapid resolution to keep our global network and platform running smoothly. You combine strong operational discipline with hands-on troubleshooting and a bias for automation. Beyond traditional networking, you’ll work hands-on with Kubernetes and Slurm to diagnose issues that span infrastructure, container networking, and HPC job fabrics.

You’re fluent in routing/switching and network security fundamentals, comfortable on Linux, and thrive in fast-moving environments where clear communication and crisp execution matter. You’ll improve monitoring, runbooks, and recovery playbooks to reduce MTTA/MTTR and prevent repeat incidents.

Outstanding problem-solving abilities and a solid understanding of fundamental network theory are also critical to your success.

Responsibilities

• Serve as first responder for network alerts and incidents: assess impact, prioritize, mitigate, and escalate as needed to SRE/MLOps/Network Engineering.
• Own end-to-end incident lifecycle: detection, triage, containment, remediation, comms, and post-incident reviews with clear timelines and action items.
• Monitor network health and capacity across routing/switching, firewalls, and data center fabrics; tune alert thresholds and dashboards to reduce noise.
• Troubleshoot L2–L4 issues (ARP, VLAN/VXLAN/EVPN, routing protocols, ACLs/NAT, DNS, TLS termination, QoS) using packet capture and flow/telemetry tools.
• Execute standard changes (MOPs) and emergency changes with rigorous change control and validation; document outcomes and update runbooks.
• Operate multi-cluster add-ons (e.g., MetalLB/Traefik/NGINX), observe health via Prometheus/Grafana/Loki, and tune alerts to reduce noise.
• Debug CNI/data plane (e.g., VXLAN/EVPN, iptables/nftables, network policies), kube-proxy/iptables mode, CoreDNS, Services (ClusterIP/NodePort/LoadBalancer), and Ingress/EGRESS.
• Maintain accurate network documentation: diagrams, inventories, IPAM, device configs, and topology state.
• Improve operational excellence: automate repetitive tasks, enhance self-service tooling, and contribute to SLOs, error budgets, and reliability roadmaps.
• Participate in a shared on-call rotation providing 24×7 coverage for critical services.

Requirements

• 3+ years in a NOC/Network Operations or Network Support role for large-scale data center or service provider-style environments (hybrid/on-prem + cloud).
• Solid understanding of TCP/IP and core protocols: BGP, OSPF/IS-IS, VLAN, VXLAN, EVPN, ACLs/NAT, DHCP, DNS, and QoS.
• Proficiency with troubleshooting tools: Wireshark/tcpdump, mtr/traceroute, nmap, curl, iperf; comfortable on Linux for diagnostics and log analysis.
• Experience operating multi-vendor networks (e.g., Arista, Cisco, Juniper, NVIDIA/Mellanox) and load balancers/firewalls.
• Familiarity with AWS/GCP/Azure networking concepts (VPC/VNet, IGW/NATGW, peering, PrivateLink, routing, security groups).
• Strong scripting/automation fundamentals (e.g., Bash/Python), and comfort with Git-based workflows for config versioning and change reviews.
• Clear, concise communicator—able to write incident timelines, RCAs, and user-facing updates under time pressure.

Preferred

• Knowledge of RoCE and Infiniband protocols a plus
• Hands-on Kubernetes troubleshooting experience: CNI fundamentals (policies, encapsulation), Services/Ingress, DNS (CoreDNS), kube-proxy, and container runtime basics a huge plus
• Understanding of AI training workloads and the demands they exert on networks a plus

About Together AI

Together AI is a research-driven artificial intelligence company. We believe open and transparent AI systems will drive innovation and create the best outcomes for society, and together we are on a mission to significantly lower the cost of modern AI systems by co-designing software, hardware, algorithms, and models. We have contributed to leading open-source research, models, and datasets to advance the frontier of AI, and our team has been behind technological advancement such as FlashAttention, Hyena, FlexGen, and RedPajama. We invite you to join a passionate group of researchers and engineers in our journey in building the next generation AI infrastructure.

Compensation

We offer competitive compensation, startup equity, health insurance and other competitive benefits. The US base salary range for this full-time position is: $160,000 - $230,000 + equity + benefits. Our salary ranges are determined by location, level and role. Individual compensation will be determined by experience, skills, and job-related knowledge.

Equal Opportunity

Together AI is an Equal Opportunity Employer and is proud to offer equal employment opportunity to everyone regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, veteran status, and more.

Please see our privacy policy at https://www.together.ai/privacy