Senior Operational Engineer (AI)

Location: US

Company

GPU cloud infrastructure for AI-native startups and global enterprises, spanning bare metal infrastructure and platform services.

What you will do

• Design and deliver shared operational capabilities, including service-readiness checks, canaries, runbooks, health reporting, alerting workflows, and automation.
• Establish standards for service ownership, on-call readiness, dashboards, recovery procedures, and operational evidence.
• Partner with service teams to resolve recurring operational issues and cross-team blockers.
• Build integrations and workflows across Grafana, PagerDuty, Jira, Backstage, public-cloud platforms, and reporting systems.
• Lead incident response and technical analysis, turning incidents, change failures, and near misses into lasting engineering improvements.
• Automate reporting and support continuity testing, failure experiments, mentoring, and operational design reviews.

Requirements

• 6–10 years of experience in operations engineering, SRE, cloud infrastructure, platform engineering, or a similar production-focused engineering role.
• Experience designing and operating monitoring, alerting, on-call, runbook, service-readiness, and operational-reporting capabilities.
• Hands-on experience with Grafana, PagerDuty, Jira, Backstage, public cloud platforms, integrations, and automation.
• Experience using incident, change, service-health, continuity, patching, or cost data to drive operational improvements.
• Ability to lead cross-service initiatives, establish practical standards, and support teams through incidents.

Culture & Benefits

• Ownership, accountability, and fast execution are central to the working culture.
• Close involvement with the infrastructure that powers AI workloads.
• Opportunity to influence engineering standards across multiple services.