Telemetry Engineer

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We are seeking a highly skilled Senior OpenTelemetry (OTel) Instrumentation Engineer to design, implement, and scale enterprise-wide observability solutions across cloud-native and distributed environments. The ideal candidate will have deep expertise in OpenTelemetry (OTel), distributed tracing, metrics, logging, and telemetry pipeline engineering. You will play a key role in instrumenting SaaS platforms, cloud infrastructure, applications, and network environments while establishing enterprise observability standards and best practices.

• Design and implement end-to-end instrumentation for SaaS applications using OpenTelemetry (OTel) SDKs.
• Instrument applications developed in Java, Python, Go, Node.js, and .NET.
• Implement distributed tracing, metrics, and structured logging using OpenTelemetry standards.
• Define and enforce OpenTelemetry semantic conventions and attribute naming standards.
• Build secure multi-tenant observability solutions with tenant-level telemetry isolation.
• Deploy, configure, and manage OpenTelemetry Collector across AWS, Azure, and Google Cloud Platform.
• Configure OTLP receivers, processors, exporters, and telemetry pipelines.
• Instrument Kubernetes platforms (EKS, AKS, GKE) and containerized workloads.
• Implement observability for serverless platforms such as AWS Lambda and Google Cloud Run.
• Integrate and normalize cloud monitoring metrics from CloudWatch, Azure Monitor, and Google Cloud Monitoring.
• Collect and correlate network telemetry including NetFlow, sFlow, IPFIX, SNMP, and BGP.
• Implement W3C Trace Context propagation across applications, services, and network boundaries.
• Own Application Performance Monitoring (APM) instrumentation for distributed systems.
• Instrument asynchronous messaging platforms including Kafka, Amazon SQS, and Celery.
• Capture custom spans, database queries, exceptions, and error fingerprints.
• Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
• Build reusable OpenTelemetry instrumentation libraries and language-specific wrappers.
• Develop and enforce enterprise-wide observability standards and governance.
• Author instrumentation documentation, technical standards, and RFCs.
• Collaborate with platform, application, network, and AIOps teams to align telemetry strategies.
• Optimize telemetry pipelines using head sampling, tail sampling, and cardinality management.
• Monitor and improve telemetry pipeline scalability, reliability, and performance.
• Troubleshoot instrumentation issues and ensure high-quality observability data across enterprise platforms.
• Support enterprise Proof of Concepts (PoCs) and production observability initiatives.
• Stay current with OpenTelemetry standards, emerging observability technologies, and industry best practices.

• Strong expertise in OpenTelemetry (OTel) including SDKs, APIs, Collector, and OTLP.
• Hands-on experience implementing distributed tracing, metrics, logging, and observability solutions.
• Experience instrumenting applications using Java, Python, Go, Node.js, and .NET.
• Strong understanding of OpenTelemetry Semantic Conventions and W3C Trace Context propagation.
• Experience deploying and managing OpenTelemetry Collector in enterprise environments.
• Hands-on experience with AWS, Microsoft Azure, and Google Cloud Platform (Google Cloud Platform).
• Experience instrumenting Kubernetes environments including EKS, AKS, and GKE.
• Experience with serverless observability for AWS Lambda and Google Cloud Run.
• Knowledge of Application Performance Monitoring (APM) and distributed systems.
• Experience configuring OTLP receivers, processors, exporters, and telemetry pipelines.
• Experience integrating cloud monitoring services including CloudWatch, Azure Monitor, and Google Cloud Monitoring.
• Experience collecting and correlating network telemetry (NetFlow, sFlow, IPFIX, SNMP, BGP).
• Strong understanding of microservices architecture and cloud-native observability.
• Experience instrumenting asynchronous messaging platforms such as Apache Kafka, Amazon SQS, and Celery.
• Experience defining and monitoring Service Level Indicators (SLIs) and Service Level Objectives (SLOs).
• Knowledge of telemetry pipeline optimization, including head sampling, tail sampling, backpressure handling, and cardinality management.
• Strong experience with Linux environments and containerized applications.
• Excellent troubleshooting, analytical, and performance optimization skills.
• Strong communication and collaboration skills with cross-functional engineering teams.
• Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.

• Experience with enterprise observability platforms such as Grafana, Prometheus, Jaeger, Tempo, or Splunk.
• Experience implementing observability for microservices and cloud-native architectures.
• Knowledge of DevOps, CI/CD, and Infrastructure as Code (Terraform, Helm, Kubernetes).
• Experience supporting AIOps and machine learning-based observability initiatives.
• Familiarity with enterprise security and governance for telemetry data.
• OpenTelemetry certification or relevant cloud certifications are a plus.

Thanks & Regards OpenKyber Senior Talent Acquisition Specialist Email : Linked in URL: /in/divya-chandrala-98a745181 Web : ;br />OpenKyber 10150 Mallard Creek RD, Ste # 107 Charlotte NC 28262

For applications and inquiries,