Monitoring Engineer

with a strong focus on usability, signal quality, and operational ROI. The ideal candidate has built and operated observability platforms at scale, understands the trade-offs between open-source and SaaS approaches, and can translate noisy telemetry into actionable insight for both engineers and business stakeholders.Required Qualifications

EAD, Telemetry, Metrics, Return on Investment (ROI), Software Development, Software as a Service (SaaS), Open Source, Artificial Intelligence (AI), Reporting Dashboards, Usability Engineering, * Bachelor’s degree in Computer Science or a related field.

• Five or more years of experience in SRE, platform engineering, or observability roles.
• Deep hands-on experience with Prometheus, Grafana, and at least one major commercial observability platform such as Datadog, New Relic, or Splunk.
• Strong understanding of OpenTelemetry, distributed tracing, and structured logging.
• Proficiency in at least one general-purpose language such as Go, Python, or Java.
• Experience operating high-cardinality, high-throughput metrics and log pipelines.
• Strong understanding of SLOs, error budgets, and SRE principles.
• Experience integrating observability with CI/CD and incident management tooling.
• Solid grasp of Linux internals, networking, and container platforms.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with Thanos, Mimir, Cortex, Loki, or Tempo at scale.
• Contributions to OpenTelemetry or observability open-source projects.
• Familiarity with eBPF-based observability tooling.
• Experience driving observability cost optimization initiatives.
• Exposure to regulated environments with audit-grade logging requirements.