Observability Solution Architect

Role Overview:

This role is for a Solution Architect and Team Lead focused on building a new Observability and Anomaly Detection Platform leveraging AI. The project aims to create a platform for the middle office that will support anomaly detection, data validation, visualization, and AI integration. The position requires strong expertise in observability, AI, and solution architecture.

Key Responsibilities:

• Deliver a scalable, secure, and cost-effective observability and anomaly detection architecture.
• Enable teams to quickly detect, diagnose, and prevent service issues.
• Support automated anomaly detection, root cause analysis, and remediation.
• Align observability with business SLAs, SLOs, and reliability objectives.
• Perform End-to-End Architecture Design.
• Lead Telemetry Pipeline Engineering.
• Integrate Anomaly Detection and AI/ML.
• Establish Governance and Standards.
• Ensure Platform Security.
• Manage Stakeholder and Cross-Team Alignment.
• Drive Operationalization and Enablement.

Required Skills:

• Expertise in observability, AI, and solution architecture.
• Experience with potential technology stack for observability platforms, including tools like Splunk, Grafana, and Datadog.
• Ability to lead a team in building an anomaly detection platform leveraging AI.

Qualifications:

• 10+ years of experience.

Preferred Skills:

• Experience as a Solution and Functional Architect (SAFA).
• Knowledge of GenAI for Sales.