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 (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.