Lead Observability Architect

Lead Observability Architect

Job Description: Lead Observability Architect

Experience: 10+ years

We are looking for a Lead Observability Architect with 10+ years of experience in Observability, DevOps, SRE, or Platform Engineering to design and implement enterprise-grade observability solutions for clients. The ideal candidate should have strong expertise in the Grafana ecosystem, OpenTelemetry, monitoring, logging, distributed tracing, and cloud-native technologies, along with excellent client-facing and technical leadership skills.

Required Skills:

Hands-on experience designing and implementing enterprise observability platforms using Grafana Stack (Grafana, Loki, Tempo, Mimir, Alloy), ELK Stack, Prometheus/OpenTelemetry, or Splunk.

Strong expertise in logs, metrics, distributed tracing, application instrumentation, dashboards, alerting, and advanced visualizations.

Proven experience in observability architecture, solution design, platform implementation, and performance optimization.

Strong knowledge of Kubernetes, Docker, and cloud platforms such as AWS, Azure, or GCP.

Experience analyzing performance, availability, capacity, and reliability issues, including root cause analysis and incident resolution.

Knowledge of Linux, Git, Python, Terraform/OpenTofu, and shell scripting.

Experience integrating AI capabilities into observability platforms is an advantage.

Ability to lead technical discussions with clients, define observability best practices, mentor engineering teams, and drive implementation initiatives.

Excellent verbal and written communication skills in English.

Responsibilities:

Lead the architecture, design, and implementation of scalable observability solutions tailored to client requirements.

Define observability strategies and standards across logs, metrics, traces, monitoring, and alerting.

Lead the adoption of Grafana ecosystem technologies and OpenTelemetry for application instrumentation and distributed tracing.

Design advanced dashboards, alerts, and visualizations to improve system visibility and reliability.

Identify opportunities to integrate AI-driven capabilities for anomaly detection, performance analysis, and incident management.

Collaborate with development, DevOps, SRE, and platform engineering teams to improve system performance and availability.

Act as the technical lead and client-facing architect, providing technical guidance, solution recommendations, and architecture reviews.

Establish best practices, document technical standards, and mentor teams in observability implementation and operations.

Relevant certifications in OpenTelemetry, Prometheus, Grafana, or Splunk are an added advantage.