Observability Implementation Consultant

Key Responsibilities

• Design and implement Datadog-based observability solutions across infrastructure, applications, and cloud environments
• Migrate from legacy monitoring platforms (e.g., LogicMonitor) to Datadog
• Deploy and configure Datadog agents across distributed environments (Linux, Windows, cloud)
• Create dashboards, monitors, alerts, and service maps aligned to business and technical KPIs
• Build log ingestion pipelines, APM tracing, and metrics correlation
• Configure Datadog Watchdog for anomaly detection and AI-driven alerting
• Enable serverless and database monitoring (AWS Lambda, Azure Functions, SQL/NoSQL systems)
• Develop Infrastructure-as-Code (Terraform) for repeatable observability deployment
• Implement security best practices including PII masking and access controls
• Collaborate with customer teams to define Service Level Objectives (SLOs), Service Level Indicators (SLIs), and alerting strategies
• Provide documentation, knowledge transfer, and operational handoff

Qualifications

• Strong hands-on Datadog experience (APM, logs, metrics, dashboards)
• Experience migrating from other monitoring platforms (e.g., LogicMonitor)
• Proficiency in observability concepts (traces, metrics, logs, alerting)
• Experience with cloud platforms (AWS, Azure, GCP)
• Infrastructure as Code (Terraform preferred)
• Git and CI/CD experience (Github, GitHub Actions)
• Experience with serverless and database observability
• Excellent communication and stakeholder engagement skills

Preferred

• Datadog certifications (Associate or Professional)
• Experience with AI-driven observability (Watchdog)
• Experience in regulated environments (healthcare, finance)
• Familiarity with CI/CD pipelines and DevOps practices