← Jobs← All source recordsWhere this job mentions Go
heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system eas
Location & work details
Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.
- Original location
- New York, New York, USA
- Country
- New York, New York, USA (ATS location fields)
- Stack
- The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. (Source language/tool mention)
- Stack
- The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. (Source language/tool mention)
- Stack
- The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. (Source language/tool mention)
- Stack
- The Streaming Platform Client team sits at the heart of this ecosystem. We own the Rust client library (producers and consumers) with language bindings for Java, Go, and Python. We focus on building intuitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of internal users of our library. (Source language/tool mention)
- Stack
- - Bonus: Direct experience operating or using large-scale streaming systems like Kafka. (Source language/tool mention)
- Stack
- uitive APIs and abstractions that make a powerful distributed system easy to adopt and operate for the hundreds of int (GTM description)
- Normalization
- Explicit source location text; no city-only country inference.
Employer posting
Senior Software Engineer - Streaming PlatformSource details
Company identifier: Datadog
Source ID: greenhouse:datadog:7993551
Board: greenhouse:datadog
Evidence field: description
Match rule: alternative_in_list
Go matches in source: 1
Department as supplied: Dev Eng
Initial tile shown while the company identity or image needs review.