Software Engineer II - Observability Engineering

What you'll do

• Configure and optimize monitoring, alerting, and event management, reducing alert noise and enabling self-service through automation and AI-enabled capabilities.
• Partner with application teams to instrument services and standardize telemetry, including metrics, logs, traces, and events.
• Build observability solutions and dashboards across cloud and on-premises environments to identify degradation and improve operational insights.

What they ask for

• Formal training or certification in software engineering concepts and 2+ years of applied experience.
• Experience in Platform Engineering, DevOps, Monitoring, or Observability-related roles, including developing and maintaining code in a modern programming language.
• Experience with one or more observability platforms: Dynatrace, Splunk, Grafana, and/or Datadog; and familiarity with telemetry concepts.
• Hands-on experience with enterprise-authorized AI-assisted development tools, including critically evaluating outputs and understanding responsible AI use.

Nice to have

• Knowledge of monitoring standards, telemetry governance, and observability frameworks.
• Experience with automation, Infrastructure as Code, AI-assisted analytics, anomaly detection, dashboards, or operational analytics.

Tools

Python, Java, JavaScript, Go, Dynatrace, Splunk, Grafana, Datadog

AI focus

Uses enterprise-authorized AI coding and development tools for code generation, refactoring, testing, troubleshooting, and documentation, validating outputs for security and quality; contributes to AI-enabled observability capabilities.