Senior OpenTelemetry Engineer

Veriipro; Los Angeles (CA); On-site; USD 120,000 - 150,000; Full time

Job summary

Veriipro is seeking a skilled observability engineer in Los Angeles, California to design and implement OpenTelemetry instrumentation for applications and cloud platforms. The ideal candidate should have 8+ years of experience in software engineering and strong hands-on expertise with OpenTelemetry.

We invite you to collaborate with cross-functional teams to enhance observability best practices, develop internal instrumentation libraries, and optimize telemetry pipelines using advanced strategies.

Qualifications

• 8+ years of software engineering or observability experience.
• Strong hands-on experience with OpenTelemetry and OpenTelemetry Collector.
• Proficiency in one or more programming languages: Java, Python, Go, or Node.js.

Responsibilities

• Design and implement OpenTelemetry instrumentation for applications and cloud platforms.
• Develop and maintain OpenTelemetry Collector pipelines including receivers and processors.
• Collaborate with teams to establish observability best practices.

Skills

OpenTelemetry instrumentation

Software engineering

Distributed tracing

Cloud platforms

Kubernetes

Programming (Java, Python, Go, Node.js)

Education

Bachelor's degree in Computer Science or related field

Tools

OpenTelemetry Collector

Prometheus

Grafana

Jaeger

Job description

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.