Senior OpenTelemetry (OTel) Instrumentation Engineer

Hello Professionals,
Hope this mail finds you well!
We have an immediate contract opportunity with one of our clients.
Please review the details below and if you have any suitable profile please share your updated resume at
Referrals are also appreciated!

Position: Senior OpenTelemetry (OTel) Instrumentation Engineer Location: Woodland Hills, CA - 100% onsite Experience Required:8+ Years Visa Eligibility : H1B, -EAD, E3, OPT-EAD, TN only No -EAD profiles Employment Type: Contract (C2C/W2)

Job Summary
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.

Key Responsibilities
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.

Required Qualifications Required Skills
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.

Preferred Qualifications
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
Divya Chandrala
Senior Talent Acquisition Specialist
Email :
Linked in URL: linkedin.com/in/divya-chandrala-98a745181
Web : ;br />Eversoft Technologies LLC
10150 Mallard Creek RD, Ste # 107 Charlotte NC 28262