Description

Job Responsibilities include:

Lead the end‑to‑end architecture and delivery of an enterprise observability and anomaly detection platform.

Design scalable telemetry pipelines for logs, metrics, traces, and data validation.

Enable AI/ML‑driven anomaly detection, root cause analysis, and automated remediation.

Define governance standards, security controls, and cost‑effective platform architecture.

Align observability capabilities with business SLAs, SLOs, and reliability objectives.

Drive cross‑team collaboration and operational enablement across stakeholders.

Required Qualifications:

Bachelor’s degree in computer science, Engineering, or a related technical field.

10+ years of experience in solution architecture or technical leadership roles.

Deep expertise in observability platforms and tools such as Splunk, Grafana, and Datadog.

Proven experience designing AI‑enabled anomaly detection solutions and leading cross‑functional enterprise platform initiatives

Key Skills

Education

Any Graduate