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Senior level and niche OpenTelemetry focus moderate competition despite metro location and recognizable startup brand.
Role requires backend, observability, and SDK integration experience, making skills moderately industry-transferable.
Explicit 10+ years plus mandatory OpenTelemetry, backend, and ingestion tech requirements make screening strict.
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Own the end-to-end integration surface by designing and building OpenTelemetry-native SDKs, auto-instrumentation, ingestion pipelines, and connectors that feed telemetry and model data into the AI observability platform.
Lead Fiddler's OpenTelemetry (OTel) and OTLP strategy, contributing to instrumentation libraries, collectors, exporters, sampling, and engage with the OpenTelemetry/OpenInference ecosystem to strengthen integrations.
Architect and build scalable distributed ingestion and processing microservices to normalize, persist, and expose AI/ML observability signals at enterprise scale with a focus on data integrity, ordering, and reliability.
Bachelor's or Master's degree in Computer Science or related field.
10+ years of industry experience in software development.
Hands-on experience with OpenTelemetry/OTLP including instrumentation, collectors, semantic conventions, and tracing ecosystem.
Proficiency in Python and experience with high-throughput ingestion systems using Kafka, Postgres, and Redis.
Experienced in building developer-facing SDKs or client libraries with strong API design skills to integrate complex third-party systems.
Strong background in distributed systems architecture, troubleshooting production issues, and building scalable data infrastructure for enterprise use cases.
Proven technical leadership with ability to break down complex problems, deliver projects, mentor engineers, and collaborate effectively with cross-functional and distributed teams.