Avp- technology infrastructure

Job Title: Assistant Vice President – Technology Infrastructure & Applications Observability Location: Noida Reports To: Vice President Experience: 12+ years in Technology Infrastructure / Observability / SRE roles Department: Global Technology Job Overview We 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 (Saa S, Paa S, Iaa S, 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. Skills and Qualifications Technical Expertise Solid knowledge of Technology Infrastructure (Servers, Networks, Cloud), Application architecture, and modern observability stacks. Knowledge of tools and technology like: ITSM - Service Now End User - Systrack, Net Skope, Crowd Strike etc. Network NMS, Aviatrix, Palo Alto FW, Arista Switches, Wi-fi tech etc. Servers and Cloud - SCOM, Cloudwatch etc. Contact Center – Soli Call, Operata, App Neta etc. Observability Platforms like Data Dog, Dynatrace, New Relic 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.