Position: Senior Operational Engineer – AI Infrastructure
Role Overview
We are seeking a Senior Operational Engineer to lead incident response, infrastructure
troubleshooting, operational reliability, and automation for mission-critical AI infrastructure services.
Key Responsibilities
Lead high-severity production incidents, escalations, and root cause analysis.
Troubleshoot complex Linux, cloud, networking, and infrastructure issues.
Own and improve incident management, change management, and service-
readiness processes.
Develop monitoring dashboards, automation, and operational workflows.
Drive improvements in SLA/SLO performance, incident resolution time, and service
reliability.
Collaborate with SRE, infrastructure, platform, networking, and GPU operations
teams.
Mentor engineers and standardize runbooks, on-call processes, and operational
best practices.
Required Skills
6–10+ years in Infrastructure Operations, SRE, Platform Engineering, or Cloud
Operations.
Strong production experience with Linux, networking, monitoring, and
troubleshooting.
Hands-on experience with Grafana, PagerDuty, Jira / ITSM tools, or equivalents.
Proven experience leading critical incidents, RCA, and reliability improvements.
Knowledge of automation, scripting, APIs, and operational integrations.
Ability to independently lead technical operations and coordinate multiple
engineering teams.
Good to Have: GPU cloud infrastructure, NVIDIA GPU monitoring, HPC clusters, bare-
metal servers, hardware diagnostics, and large-scale 24/7 infrastructure operations.
.jpg?format=webp)
