Solution Architect / Team Lead - Observability

Job Overview

We are seeking an experienced Solution Architect / Team Lead to lead the design and implementation of a next-generation Observability and Anomaly Detection Platform leveraging AI-driven capabilities. This platform will support middle-office operations with advanced monitoring, telemetry engineering, anomaly detection, data validation, visualization, and intelligent remediation capabilities.

The ideal candidate will bring deep expertise in enterprise observability, AI/ML integration, and scalable platform architecture using tools such as Splunk, Grafana, Datadog, OpenTelemetry, and modern cloud-native technologies.

This is a strategic leadership role requiring strong architecture skills, technical depth, and the ability to collaborate across engineering, operations, security, and business teams.

Key Responsibilities

• Design and implement scalable, secure, and cost-effective observability architectures
• Lead the development of enterprise monitoring and anomaly detection platforms
• Build and optimize telemetry pipelines for logs, metrics, traces, and events
• Enable AI/ML-driven anomaly detection, root cause analysis, and automated remediation
• Integrate observability solutions with business SLAs, SLOs, and reliability objectives
• Define platform governance, monitoring standards, and operational best practices
• Collaborate with cross-functional teams including infrastructure, DevOps, security, and business stakeholders
• Drive platform operationalization, enablement, and adoption across teams
• Evaluate and implement observability tools such as Splunk, Grafana, Datadog, Prometheus, and OpenTelemetry
• Ensure platform scalability, security, compliance, and performance optimization
• Lead architecture reviews, technical design discussions, and implementation strategies
• Mentor engineering teams and provide technical leadership on observability initiatives
  
  

Required Skills & Experience

• 10 years of experience in Solution Architecture or Enterprise Platform Architecture
• Strong expertise in Observability and Monitoring platforms
• Hands-on experience with:
• Splunk
• Grafana
• Datadog
• OpenTelemetry
• Prometheus / ELK Stack
• Experience building telemetry and monitoring pipelines
• Strong understanding of AI/ML integration for anomaly detection and AIOps
• Experience with root cause analysis and intelligent remediation frameworks
• Expertise in cloud-native and distributed system architectures
• Strong knowledge of platform security, governance, and operational standards
• Experience defining SLAs, SLOs, and reliability engineering practices
• Strong stakeholder management and cross-team collaboration skills
• Excellent communication and leadership abilities

Preferred Qualifications

• Experience in AIOps or intelligent observability platforms
• Exposure to GenAI integration within enterprise monitoring systems
• Knowledge of Kubernetes, container monitoring, and cloud observability
• Experience in financial services or middle-office platforms
• Familiarity with DevOps, SRE, and automation frameworks
  
  

Key Skills

• Solution Architecture
• Observability Platforms
• Splunk
• Grafana
• Datadog
• OpenTelemetry
• AIOps
• AI/ML Integration
• Telemetry Engineering
• Root Cause Analysis
• Platform Security
• SLA/SLO Management
• Cloud Monitoring
• Enterprise Architecture
• DevOps & SRE