AVP- Technology Infrastructure

Job Title: Assistant Vice President – Technology Infrastructure & Applications ObservabilityLocation: NoidaReports To: Vice PresidentExperience: 12+ years in Technology Infrastructure / Observability / SRE rolesDepartment: 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.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 - 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.