Design and scale observability platforms handling high-volume metrics, logs, and traces across distributed environments
Build high-performance backend services for telemetry ingestion, processing, and routing
Develop and extend OpenTelemetry collectors, processors, exporters, and instrumentation libraries
Build and optimize metrics pipelines using large-scale time-series storage systems
Design and operate real-time and batch telemetry pipelines using streaming and distributed data technologies
Improve platform reliability, performance, and cost efficiency through tuning, capacity planning, and system optimization
Develop monitoring, alerting, and service reliability frameworks to ensure platform health and performance
Collaborate with platform engineering, infrastructure, and site reliability teams to deliver production-grade observability solutions

Requirements

Bachelor’s degree in Computer Science, Computer Engineering, or related field or equivalent experience
5+ years of experience building backend or distributed systems in production environments
Strong programming skills in Python, Go, or Java, with experience developing production-quality software
Hands-on experience with modern observability architectures, including metrics, logs, and traces
Solid experience with PromQL and time-series data systems
Experience building or operating distributed data pipelines using technologies such as Kafka, Spark, or Flink
Experience working with Kubernetes and cloud-native infrastructure
Strong understanding of distributed systems, concurrency, and fault-tolerant system design.
Strong debugging, performance tuning, and production operations skills

Benefits

equity
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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonGoJavaOpenTelemetryPromQLKafkaSparkFlinkKubernetesdistributed systems

Soft Skills

collaborationdebuggingperformance tuningsystem optimizationcapacity planning

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Computer Engineering