Senior OpenTelemetry Engineer

Roles and Responsibilities

• Design and implement OpenTelemetry instrumentation for applications, services, and cloud platforms.
• Develop and maintain OpenTelemetry Collector pipelines, including receivers, processors, exporters, and routing.
• Instrument distributed applications using OpenTelemetry SDKs (Java, Python, Node.js, Go).
• Configure tracing, metrics, and structured logging following OpenTelemetry semantic conventions.
• Implement observability for Kubernetes, containers, serverless platforms, and cloud services.
• Instrument asynchronous messaging systems such as Kafka and SQS with end-to-end trace propagation.
• Develop internal instrumentation libraries and reusable observability components.
• Define and implement SLIs, SLOs, and application performance monitoring (APM) standards.
• Optimize telemetry pipelines through sampling strategies, cardinality management, and performance tuning.
• Collaborate with Platform Engineering, SRE, DevOps, and development teams to establish observability best practices.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or a related field.
• 8+ years of software engineering or observability experience.
• Strong hands-on experience with OpenTelemetry and OpenTelemetry Collector.
• Experience with distributed tracing, metrics, logs, and APM solutions.
• Proficiency in one or more programming languages: Java, Python, Go, or Node.js.
• Experience with Kubernetes and cloud platforms including AWS, Azure, and GCP.
• Knowledge of serverless and containerized environments.
• Experience with cloud monitoring services such as CloudWatch, Azure Monitor, and Google Cloud Monitoring.
• Experience with messaging platforms such as Kafka or SQS.
• Strong understanding of telemetry pipelines, sampling, trace context propagation, and observability best practices.

Preferred Skills

• Experience with Prometheus, Grafana, Jaeger, or Tempo.
• Knowledge of network telemetry (NetFlow, sFlow, SNMP, IPFIX, BGP).
• Experience supporting AIOps or machine learning-driven observability platforms.
• Familiarity with DevOps, CI/CD, and Infrastructure as Code.

Posted By