Observability Solution Architect

Prophecy Technologies

$120K — $160K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years of experience in technology roles.
  • Expertise in observability, AI, and solution architecture.
  • Proficiency with observability tools like Splunk, Grafana, and Datadog.
  • Proven ability to lead teams in technology projects.
  • Experience as a Solution and Functional Architect (SAFA) preferred.

Responsibilities

  • Deliver a scalable, secure, and cost-effective architecture for observability and anomaly detection.
  • Enable rapid detection, diagnosis, and resolution of service issues.
  • Support automation of anomaly detection and root cause analysis.
  • Align observability initiatives with business service level agreements (SLAs) and objectives.
  • Design end-to-end architecture for the platform.
  • Lead the engineering of the telemetry pipeline.
  • Integrate AI/ML for anomaly detection and operational insights.

Benefits

  • Opportunities for career advancement in a cutting-edge field.
  • Influence on the development of innovative AI-powered technologies.
  • Collaborative work environment across teams and stakeholders.
  • Involvement in platform security and governance, ensuring best practices.
Full Job Description
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.

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