This role reports into senior leadership responsible for global AI/GPU host management strategy, fleet readiness, AIOps adoption, intelligent automation, service reliability, and operational tooling. You will translate that strategy into disciplined execution across day-to-day operations, service queues, triage, incident response, patching, upgrades, runbook maturity, telemetry improvements, and operational readiness for OCI's AI/GPU host fleet.

You will be a hands-on leader during operational escalations, driving crisp communications, rapid diagnosis, and durable corrective actions. You will partner cross-functionally with geographically distributed OCI engineering, platform, networking, data center, compliance, and operations teams to deliver measurable reliability, efficiency, and execution outcomes.

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Key Responsibilities

Organizational Leadership & Talent Development

- Lead, grow, and develop India-based teams of operators, developers, and technical leads in a 24x7 operational environment; establish clear ownership boundaries, on-call expectations, and accountability mechanisms.

- Recruit, hire, coach, and retain high-performing talent; set goals, manage performance, develop successors, and raise the technical and operational bar across the team.

- Create a culture of operational excellence, ownership, continuous learning, pragmatic simplification, and disciplined execution while supporting rapid AI/GPU infrastructure growth.

Service Ownership: AI/GPU Host Operations at Cloud Scale

- Own operational outcomes for assigned AI/GPU host management services, including host health, fleet readiness, hardware/software triage, service queues, reliability, and operational readiness.

- Guide teams that diagnose AI compute host issues across hardware, Linux, services, networking, automation, and monitoring layers; ensure issues are resolved quickly and with durable prevention mechanisms.

- Drive operational execution for service patching, upgrades, staged rollouts, change controls, and readiness reviews using metrics-driven planning and governance.

- Partner with global OCI teams to ensure India operations align with broader host management roadmaps, standards, escalation practices, and fleet reliability goals.

Operational Excellence, Metrics, and Governance

- Define and mature operational KPIs and reporting for service health, incident performance, ticket aging, ticket resolution quality, queue backlog, change execution, and operational readiness.

- Lead high-severity incidents and escalations: coordinate rapid triage, communicate status clearly, drive high-quality post-incident reviews, and follow through on corrective actions.

- Improve operating mechanisms for risk management, audit/compliance alignment, change management, handoffs, escalation hygiene, and cross-team execution tracking.

- Use data and trend analysis to identify repeat issues, operational bottlenecks, staffing gaps, process defects, and opportunities for reliability improvement.

Engineering Enablement, AIOps, and Automation

- Drive adoption of AIOps and intelligent automation to reduce manual toil, improve alert quality, accelerate event correlation, standardize remediation, and improve triage accuracy.

- Partner with engineering and platform teams to prioritize operational tooling, telemetry improvements, workflow enablement, runbook automation, and self-healing opportunities.

- Establish measurable automation outcomes such as reduced manual handling, improved MTTR, increased auto-triage coverage, fewer repeat issues, and better operator/engineer effectiveness.

- Manage focused software engineering work aligned to operations outcomes, including scripts, dashboards, workflow tooling, triage aids, monitoring enhancements, and reliability automation.

Cross-Functional & Stakeholder Engagement

- Work closely with senior leaders, peer managers, technical leads, and globally distributed teams to deliver predictable execution across AI/GPU host operations.

- Translate complex technical and operational situations into accurate narratives, decisions, risks, and action plans for senior stakeholders.

- Represent the team in operational reviews, readiness discussions, incident forums, and cross-functional planning sessions with clarity and ownership.

Qualifications / Experience

- BS or MS in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

- 8+ years of experience in software engineering, infrastructure operations, cloud operations, site reliability, production operations, or related technical areas.

- 5+ years of people management and/or technical leadership experience, including experience leading operators, engineers, senior technical contributors, or multiple operational workstreams.

- Experience building and scaling teams, including recruiting, hiring, coaching, performance management, goal setting, and leadership development.

- Strong operational background with incident management, service ownership, queue management, operational readiness, process improvement, and post-incident corrective actions.

- Experience operating or supporting Linux-based infrastructure at scale, including hardware/software troubleshooting and service lifecycle execution.

- Working familiarity with scripting and automation ecosystems such as Python, Bash, or similar tools sufficient to sponsor, review, and guide operational tooling direction.

- Understanding of distributed systems fundamentals and the ability to reason across hardware, operating systems, networking, services, monitoring, automation, and customer impact.

- Familiarity with networking protocols such as TCP/IP and HTTP and with standard cloud infrastructure architectures.

- Strong organizational and planning skills, including prioritization, scheduling, execution tracking, and operational governance.

- Strong written and verbal communication skills, including the ability to communicate technical risks, operational status, tradeoffs, and execution plans to senior stakeholders.

Preferred / Nice to Have

- Experience operating large-scale cloud infrastructure, AI/ML infrastructure, HPC environments, or GPU fleets.

- Experience leading teams in a 24x7 production operations environment with globally distributed stakeholders.

- Experience driving automation, AIOps, telemetry improvements, alert noise reduction, event correlation, runbook standardization, or toil reduction programs.

- Experience managing operational tooling or focused engineering efforts for workflow enablement, triage automation, monitoring, reliability, or service readiness.

- Experience with service patching, upgrades, staged rollouts, change management, operational risk management, audit readiness, and compliance alignment.

- Demonstrated success using metrics such as MTTR, ticket aging, incident volume, repeat issue rate, automation coverage, SLO/SLA performance, and readiness indicators to improve operations at scale.

Leadership Profile

You are a distributed-systems-minded operations and engineering leader who values simplicity, scalability, ownership, and measurable execution. You combine people leadership with technical depth, enabling teams to operate reliable OCI services while continuously improving the operational and engineering foundations.

You are comfortable leading through ambiguity, driving accountability during escalations, and building mechanisms that help teams deliver consistently. You use data to set priorities, improve reliability, reduce toil, and strengthen execution across a rapidly growing AI/GPU infrastructure fleet.

Career Level - M3