Infrastructure & Applications Observability

Job Description:

Location:  Noida
Reports To:  Vice President
Experience:  14+ years in Technology Infrastructure / Observability / SRE roles
Department:  Global Technology

Job Overview

We are seeking a dynamic and experienced  Assistant Vice President (AVP)/ SAVP  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.