Job Summary

A Senior Full Stack Observability Engineer – AI Ops & Autonomous Observability to handle / manage , Design and implement enterprise-wide observability across applications, infrastructure, cloud, network, database and digital services. Lead adoption of Datadog, AI Ops, SRE and Autonomous Observability. Build agentic AI and multi-agent orchestration solutions that automate operational workflows and enable autonomous operations.

Technical Skills

- Datadog (Expert)
- OpenTelemetry
- Distributed Tracing
- Application Performance Monitoring
- AI Ops
- LangGraph/CrewAI/AutoGen/Semantic Kernel
- Python
- Azure, AWS
- Kubernetes
- ServiceNow Integration
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Enterprise Observability Strategy

- Define observability standards, governance and operating model.
- Create monitoring roadmaps, service health frameworks, business service dashboards and dependency mapping.
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Full Stack Observability Scope

- Applications, APIs,



microservices and user journeys.
- Windows, Linux, VMware, storage and infrastructure platforms.
- Azure and AWS.
- Network monitoring, SQL and NoSQL databases.
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Datadog Platform

- Deploy and optimize Datadog solutions.
- Build dashboards, monitors, alerts and observability-as-code frameworks.
- Integrate Datadog with ServiceNow, Teams and enterprise tooling.
- Recent Relic exposure is optional.
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AI Ops Responsibilities

- Event correlation and noise reduction.
- Predictive analytics and anomaly detection.
- Incident intelligence and root cause analytics.
- Proactive issue identification and MTTR reduction

Skills:- Observability, EMC DataDomain, Artificial Intelligence (AI), Machine Learning (ML), Amazon Web Services (AWS), Windows Azure, Python and LangGraph

📌 Full stack Observability Engineer (Bengaluru)
🏢 VY SYSTEMS PRIVATE
📍 Bengaluru