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Senior Software Engineer I - Agent Observability
Full-stack engineer (Software Engineer I) on Honeycomb's LLM Observability team, building AI observability end to end: ingesting agent/LLM signals like cost, token usage, and errors, and surfacing them in in-product visualizations. Backend work in Go and/or Python, frontend in TypeScript and React.
Senior Software Engineer II - Agent Observability
Builds and owns Honeycomb's AI/LLM observability product end to end — from ingestion pipelines and agent data models to in-product visualizations of cost, tokens, errors, and anomalies — on a small cross-functional team. Full-stack work: Go and/or Python on the backend, TypeScript and React on the frontend.
Strategic Account Executive
What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh,…
Enterprise Account Executive - West
What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh,…
Payroll Manager
What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh,…
Marketing Ops Analyst
What We’re Building Honeycomb is a service for the near and present future, defining observability and raising expectations of what developer tools can do! We’re working with well known companies like HelloFresh,…
Data Engineer
Data Engineer at Paisabazaar in Gurugram (work from office, 2-4 years experience) building and optimizing big data pipelines and stores for the lending/credit marketplace. Core stack includes Hadoop, Hive, PySpark, Python/Java, Kafka, Airflow, SQL/NoSQL databases, and AWS/Azure cloud services.
Big Data Engineer - Technical Leader - €50.000 All'Anno
eGlue's IT consulting division (DWIT) seeks a Big Data Engineer / Technical Leader to run Big Data projects for a finance client from Milan (hybrid, 3 days on-site): leading a dev team, managing integration layers and shaping architecture standards. Stack: Cloudera/Databricks/AWS, Kafka, Flink, Spark, Java/Python/Scala, NoSQL.
