Assistant Vice President
- Noida, Uttar Pradesh
- Permanent
- Full-time
Location: Noida
Reports To: Vice President
Experience: 12+ years in Technology Infrastructure / Observability / SRE roles
Department: Global TechnologyJob OverviewWe are seeking a dynamic and experienced Assistant Vice President (AVP) to lead our Technology Infrastructure and Applications Observability Practice. The AVP will oversee a multidisciplinary team across Operations, Site Reliability Engineering (SRE), Engineering, and Client Engagement, driving excellence in service delivery and leveraging AI-powered Observability to enhance performance, resilience, and business value.The ideal candidate will bring a strong mix of technical depth, strategic thinking, and executive communication, along with a passion for showcasing the business impact of infrastructure insights through data storytelling and intelligent dashboards.Key Responsibilities
- Leadership & Strategy
- Lead the Observability Practice spanning infrastructure and application monitoring, log & trace analytics, AIOps, and SRE automation.
- Develop and drive the roadmap for next-gen observability leveraging AI/ML, causal analysis, and predictive intelligence.
- Collaborate with CIO, platform, and application teams to align observability strategies with business outcomes.
- Operations & SRE
- Manage end-to-end operations for Network and Cloud Infrastructure and ensure key KPIs and SLAs are met as per the ITSM practice on SNOW
- Drive effective Change Management from overall Monitoring Ops standpoint
- Manage real-time monitoring, incident response, and proactive alerting for critical infrastructure and applications.
- Ensure key KPIs like uptime, latency, Traffic, Errors, Saturation are met as per MSAs and Business requirements
- Ensure all new devices, VMs, Cloud Resources, Models, Apps (SaaS, PaaS, IaaS, On-premise) are onboarded for monitoring during post provisioning.
- Establish and refine SRE principles to improve reliability, reduce toil, and enforce SLAs/SLOs.
- Drive root cause analysis (RCA), resilience testing, and postmortems.
- Ensure End user incidents are in check and any deviation w.r.t User Experience is worked upon
- Engineering & Innovation
- Oversee the build-out of observability pipelines and integrations (e.g. with Datadog).
- Innovate with AI/ML-based anomaly detection, automated remediation, and observability-as-code.
- Influence platform instrumentation and telemetry design across environments (on-prem, cloud, hybrid).
- Client & Stakeholder Engagement
- Serve as a strategic advisor and partner to business stakeholders, product leaders, and client teams.
- Own the design and delivery of Executive Dashboards, Health Summaries, and Business Impact Reports.
- Ensure observability solutions reflect client pain points and deliver measurable improvements.
- Technical Expertise
- Solid knowledge of Technology Infrastructure (Servers, Networks, Cloud), Application architecture, and modern observability stacks.
- Knowledge of tools and technology like:
- ITSM - ServiceNow
- End User - Systrack, NetSkope, CrowdStrike etc.
- Network NMS, Aviatrix, PaloAlto FW, Arista Switches, Wi-fi tech etc.
- Servers and Cloud - SCOM, Cloudwatch etc.
- Contact Center – SoliCall, Operata, AppNeta etc.
- Observability Platforms like DataDog, Dynatrace, NewRelic etc.
- Experience with AI for Observability, AIOps platforms, and large-scale monitoring/log management systems.
- Familiarity with cloud-native ecosystems (AWS/GCP/Azure), containerization (Kubernetes, Docker), and CI/CD integration.
- Leadership and Communication
- Proven ability to lead cross-functional teams across geographies.
- Strong executive presence with excellent verbal, written, and presentation skills.
- Ability to simplify technical concepts into business-aligned narratives.
- Business & Analytical Acumen
- Data-driven mindset with ability to connect metrics with operational and financial impact.
- Experience in creating value stories, business cases, and customer success narratives.
- Preferred
- Certifications in SRE, ITIL, or Observability tools.
- Exposure to data science, AI/ML models, or advanced analytics projects is a plus.