Infra L1 Support Engineer

Join our Global Infrastructure team and work on high-performance GPU environments supporting critical operations and platform stability. We are looking for an Infra Support Engineer to handle L1/L2 support activities across GPU infrastructure environments. The role involves monitoring systems, identifying and triaging incidents, performing basic troubleshooting and remediation, executing operational runbooks, and collaborating with the SRE team for escalations and service reliability improvements. The ideal candidate should have strong troubleshooting skills, knowledge of Linux and infrastructure fundamentals, exposure to monitoring tools, and a passion for infrastructure operations and reliability engineering. Excellent communication and incident management skills will be an added advantage.

• Provide L1/L2 technical support for AI infrastructure including GPU/CPU nodes, networking, storage, orchestration, and platform services through ticketing tools, emails, Slack, and messaging platforms. • Support GPU cluster delivery activities such as provisioning, image deployment, network validation, BIOS/firmware upgrades, and GPU driver/runtime installation. • Monitor infrastructure health, dashboards, and service indicators while responding to alerts as part of scheduled operations support. • Perform incident triage, analyze impact, gather required logs/details, and execute standard operational runbooks for quick mitigation. • Escalate critical issues to SRE teams with proper incident documentation, logs, and troubleshooting details. • Maintain incident records, provide timely updates to stakeholders, and support status communication during outages. • Handle routine operational tasks including health checks, log reviews, capacity monitoring, and basic automated fixes. • Participate in post-incident reviews and contribute ideas to improve reliability and reduce recurring issues. • Support SOP improvements, validate operational runbooks, and document new infrastructure procedures. • Collaborate with infrastructure, development, and SRE teams to improve system stability and operational efficiency.

Over 2+ years of experience in IT operations, server administration, SRE, DevOps or technical support.

1. Linux & Shell Practice top, vmstat, iostat, dmesg, journalctl for live troubleshooting Know systemd service management (systemctl start/stop/status/restart) Be fluent in log parsing with grep, awk, sed, tail -f Understand filesystem hierarchy (/etc, /var/log, /proc, /sys) Have a scripting example ready (Bash automation you've written) 2. Networking Explain DNS resolution → TCP handshake → TLS → HTTP flow clearly Know tools: ping, traceroute, tcpdump, curl -v, ss, nslookup Understand TCP vs UDP, common ports (22, 53, 80, 443) Be ready to explain VLANs, subnets, and firewall rules 3. Monitoring & Logging Describe a Prometheus + Grafana stack you've used or built Know PromQL basics (rate, increase, histogram_quantile) Explain metrics vs logs vs traces and when each is useful Mention alerting setup and how you tuned noisy alerts 4. Kubernetes Know core objects: Pod, Deployment, Service, ConfigMap, Namespace Practice debug commands: kubectl logs, describe, exec, get events Understand CrashLoopBackOff, ImagePullBackOff, OOMKilled scenarios Explain how rolling updates and health checks work 5. Nvidia GPU Infrastructure Read and interpret nvidia-smi output (utilization, memory, temperature) Understand CUDA driver vs toolkit compatibility Know how Kubernetes schedules GPUs via device plugins Be aware of common issues: GPU memory leaks, driver mismatches 6. Troubleshooting Mindset

1st Round : Written Test 2nd and 3rd Round : Technical Interview 4th Hr Round