Job Description
PositionVice President – AIOps and System Reliability EngineeringIncumbentN/ADepartmentDigital TechnologyFunctionIT ServicesReporting toCVP and Head of IT Infrastructure Digital OperationsBand3LocationGurugramTeam Size (D / I)5-7 / 50-80JOB SUMMARY:
The Vice President – AIOps and System Reliability Engineering is a visionary technology leader responsible for driving the strategy, automation, and transformation of the enterprise IT operations landscape. This expanded role oversees digital infrastructure, reliability engineering, and cutting‑edge adoption of Agentic AI and autonomous operations to deliver a self‑healing, predictive, and highly automated IT environment.
This leader is accountable for significantly reducing manual support dependencies by implementing AI‑driven automation frameworks that eliminate L1 support (100%) and reduce L2 support effort by at least 50%, while ensuring world‑class performance, reliability, and security across IT services.
Key Responsibilities, Relationships Measures of Success:
Strategic Autonomous Operations Leadership
Define and execute a long-term strategy for Agentic AI, autonomous operations, and AI driven service management.
Build and operationalize an enterprise-wide framework for Autonomous IT Operations (AIOps), ensuring seamless integration with infrastructure, cloud, and SRE functions.
Lead the implementation of AI agents, decisioning engines, and self-healing automation across service operations.
Operational Excellence Automation Transformation
Achieve 100% elimination of L1 support through predictive automation, intelligent routing, and autonomous resolution workflows.
Deliver 50% reduction in L2 support workload through AI based diagnostics, automated remediations, and knowledge orchestration.
Oversee implementation of AI driven monitoring, anomaly detection, auto triaging, and automated incident remediation.
Optimize IT operations through AIOps, observability platforms, and closed loop automation.
Infrastructure Engineering SRE Leadership
Oversee all DC/DR operations including servers, storage, databases, networking, and hybrid cloud infrastructure.
Strengthen and scale SRE practices including SLOs, SLIs, error budgets, and automated reliability engineering.
Build autonomous SRE capabilities through AI driven reliability tooling and prevention first engineering.
Innovation Technology Modernization
Identify, evaluate, and implement emerging technologies including Agentic AI, GenAI copilots, predictive operations, and advanced automation frameworks.
Lead modernization of CI/CD, IaC, and DevSecOps with embedded AI and smart orchestration.
Build a center of excellence for autonomous operations and AI first service engineering.
Incident, Problem Change Management Automation
Deploy automated playbooks, AI guided root cause analysis, and recommendation engines.
Implement self-service and conversational AI capabilities across ITSM platforms.
Ensure proactive detection (MTTD 5 minutes) and rapid recovery (MTTR 1 hour) through automation.
People Vendor Leadership
Lead and mentor engineering, SRE, and automation teams with a strong culture of innovation and accountability.
Manage strategic vendor partnerships for AI, observability, infrastructure, and automation technologies.
Stakeholder Engagement
Communicate operational health, transformation progress, AI impact, and risk posture to senior leadership.
Partner with cybersecurity, product, and enterprise architecture teams to ensure secure and compliant autonomousoperations.
Required Skills Experience:
Bachelor’s degree in engineering, Computer Science, or related field (B.E./BTech preferred).
14+ years of progressive experience in infrastructure engineering, SRE, DevOps, and IT operations automation.
Strong hands-on experience with AIOps platforms, Agentic AI models, and autonomous operations frameworks.
Proven background in large scale IT modernization, observability, and reliability engineering.
Expertise in cloud operations (AWS/Azure/OCI), Kubernetes, container orchestration, and IaC.
Deep understanding of AI/ML, automation platforms, scripting (Python/Shell), and integration pipelines.
Experience with ITSM platforms, incident automation, and workflow orchestration (ServiceNow preferred).
Strong leadership capabilities with experience in driving major automation transformations.
Strong hands-on experience with AIOps platforms, Agentic AI models, and autonomous operations frameworks.
Proven expertise in managing large-scale, distributed systems with a focus on scalability, reliability, and security.
Hands-on experience with service management and change management tools (e.g., ServiceNow).
Deep knowledge of disaster recovery, business continuity, and infrastructure lifecycle management.
Mastery of DevOps and SRE metrics (DORA, toil reduction) and automation tools (Terraform, CloudFormation, Jenkins, Ansible, etc.).
Proficiency in security tools (SAST, DAST, container security) and monitoring platforms (Nagios, Dynatrace, SolarWinds).
Demonstrated ability to lead cross-functional teams, drive change, and deliver results in a fast-paced environment.
Key Performance Indicators (KPIs):
100% elimination of L1 support workload through autonomous resolution.
≥50% reduction in L2 dependency via AI driven triage and remediation.
Deployment downtime reduces by 50%.
MTTR for SEV1 issues 1 hour.
MTTD 5 minutes through automation.
IT uptime ≥ 99.5%.
Run cost optimization ≥ 10% YoY.
SLA adherence ≥ 95%.
Automated VAPT across all applications.
Continuous improvement in system reliability and customer satisfaction scores
SLA Adherence ≥ 95% (critical applications)
Audit compliance closure ≥ 90% on time
