Description
The Observability & AIOps Architect is responsible for designing, implementing, and governing end‑to‑end observability and AIOps platforms across complex enterprise environments. This role focuses on enabling proactive operations, SRE‑driven reliability, and data‑driven decision‑making by unifying telemetry (metrics, logs, traces, events), applying advanced analytics and AI/ML techniques, and integrating observability insights into ITSM, DevOps, SecOps, and business workflows.
Define enterprise observability and AIOps strategy aligned with business outcomes, SRE principles, and digital transformation initiatives.
Design scalable, resilient reference architectures for observability across:
Cloud (AWS, Azure, GCP)
Kubernetes & container platforms
Microservices and legacy applications
Hybrid IT and OT environments (where applicable)
Architect unified observability & AIOps solutions covering:
Infrastructure, network, storage, and cloud services
Applications (APM), microservices, and distributed tracing
User experience (RUM, synthetic monitoring)
Logs,



metrics, traces, events, and topology
Event correlation and noise reduction
Anomaly detection and forecasting
Root cause analysis (RCA)
Impact analysis and prioritization
Enable SRE practices
Integrate observability platforms with:
ITSM tools (ServiceNow, BMC, etc.)
Automation and orchestration tools (Ansible, StackStorm, Resolve.io, AI Agents)
Collaboration tools
Drive closed loop automation for incident response and self-healing systems.
Lead platform selection, evaluation, and integration (vendor‑neutral approach).
Solid expertise in enterprise observability concepts: metrics, logs, traces, events, topology.
Hands‑on experience with leading observability platforms such as:
Dynatrace, Datadog, Current Relic, Grafana, Elastic/OpenSearch, Azure Monitor, Prometheus SolarWinds, OpsRamp, ManageEngine etc
Solid understanding of AIOps platforms and techniques.
Stron

📌 Observability Automation Pune
🏢 Zensar Technologies
📍 Pune