Observability Architect

Job Description

We are seeking an experienced Observability Architect to design, implement, and mature enterprise-wide observability capabilities across hybrid on-premises and cloud environments. The ideal candidate has deep expertise with log aggregation, metrics, tracing, and application performance monitoring technologies, and can drive automation, standardization, and best‑practice adoption s role will be a key influencer in shaping the organization’s observability strategy, ensuring end‑to‑end system visibility, performance, and reliability.

• Observability Architecture & Strategy
  • Develop and maintain the enterprise observability reference architecture, covering logs, metrics, traces, events, dashboards, and alerts.
  • Lead the design and implementation of observability solutions that support hybrid multi‑cloud and on‑premise environments.
  • Establish standards, governance, and reusable frameworks for telemetry generation, ingestion, correlation, storage, and visualization.
  • Drive continuous improvement of monitoring maturity, integrating data‑driven insights and AI‑based analytics where applicable.
• Log Aggregation & Monitoring Solutions
  • Architect and administer large‑scale log aggregation platforms such as Splunk, supporting both on‑prem and cloud deployments.
  • Define and automate ingestion pipelines, parsing logic, index strategies, role‑based access, and performance tuning.
  • Implement configuration management and infrastructure‑as‑code (IaC) practices for repeatable deployment and scaling of observability tools.
• Application & Network Performance Monitoring
  • Deploy, configure, and optimize APM solutions such as App Dynamics, Dynatrace, or equivalent platforms.
  • Integrate application tracing, synthetic monitoring, real‑user monitoring (RUM), and business transaction analytics.
  • Support and enhance Network Performance Monitoring (NPM) capabilities to ensure end‑to‑end visibility across distributed systems.
• Cloud‑Native & Modern Monitoring
  • Leverage cloud‑native monitoring tools across AWS, Azure, or GCP (e.g., Cloud Watch, Azure Monitor, GCP Operations Suite).
  • Guide teams in instrumenting microservices, serverless functions, containers, and Kubernetes clusters using Open Telemetry and modern telemetry standards.
  • Partner with infrastructure, application, and SRE teams to ensure high availability, resilience, and performance.
• Automation & AI‑Driven Engineering
  • Build automated workflows for alert tuning, anomaly detection, dashboards, and telemetry enrichment.
  • Explore and integrate AI/ML‑based observability features such as predictive analytics, signal correlation, and automated root‑cause analysis.
  • Advocate for automation‑first practices and reduction of operational toil.

• 5+ years of hands‑on experience with enterprise‑scale log aggregation platforms, including architecture, deployment, and administration of tools like Splunk across on‑prem and cloud environments.
• 5+ years of experience using automated configuration management and IaC tools (e.g., Ansible, Terraform, Git Ops frameworks).
• 2+ years of experience with APM tools such as App Dynamics or Dynatrace, including end‑to‑end application visibility and performance diagnostics.
• Experience with Network Performance Monitoring tools and methodologies.
• Strong understanding of cloud infrastructure and cloud‑native monitoring technologies (AWS, Azure, GCP).
• Familiarity with Open Telemetry, distributed tracing, and service mesh observability.
• Expertise in designing dashboards, KPIs, and alerting strategies that align to business SLIs/SLOs.
• Experience collaborating with Dev Ops, SRE, cloud engineering, and application teams in large enterprises.

• Experience implementing AI/ML‑driven observability capabilities (e.g., anomaly detection, auto‑baselining, correlation engines).
• Knowledge of container ecosystems and orchestration platforms (Kubernetes, AKS/EKS/GKE).
• Experience working with event‑driven architectures and microservices environments.
• Strong scripting or programming skills (Python, Power Shell, Bash, etc.).
• Relevant certifications (e.g., Splunk Architect, Dynatrace Professional, Cloud certifications).

• Excellent communication and stakeholder management skills.
• Ability to lead technical strategy and influence architectural decisions.
• Strong analytical, troubleshooting, and problem‑solving abilities.
• Adaptability and curiosity about new technologies and evolving observability trends.