g Experimentation, Metrics, Observability, Release Guardian, AgentControl, and Data Export. Working primarily in Go and Python, your team tackles ambitious distributed-systems challenges with technologies including Kinesis, A

Location & work details

Office location and remote eligibility are separate. A country flag describes the stated location, not who may apply.

Original location: Remote - US
Country: Remote - US (ATS location fields)
Work mode: Remote - US (ATS workplaceType/location)
Stack: Working primarily in Go and Python, your team tackles ambitious distributed-systems challenges with technologies including Kinesis, Airflow, Athena, and Iceberg on S3, ClickHouse, Elasticsearch, Terraform, AWS, and Datadog. From evolving real-time analytics and context data to strengthening streaming and batch pipelines, you’ll guide the platform that turns vast volumes of events into reliable, customer-facing product experiences while partnering across Core Engineering and product teams to make data faster, more resilient, and more useful for every LaunchDarkly customer. (Source language/tool mention)
Stack: Working primarily in Go and Python, your team tackles ambitious distributed-systems challenges with technologies including Kinesis, Airflow, Athena, and Iceberg on S3, ClickHouse, Elasticsearch, Terraform, AWS, and Datadog. From evolving real-time analytics and context data to strengthening streaming and batch pipelines, you’ll guide the platform that turns vast volumes of events into reliable, customer-facing product experiences while partnering across Core Engineering and product teams to make data faster, more resilient, and more useful for every LaunchDarkly customer. (Source language/tool mention)
Stack: Experience with Go or Python, and with technologies such as Kafka or Kinesis, ClickHouse, Airflow, Athena or Iceberg, Elasticsearch, and Terraform is a plus (Source language/tool mention)
Stack: Working primarily in Go and Python, your team tackles ambitious distributed-systems challenges with technologies including Kinesis, Airflow, Athena, and Iceberg on S3, ClickHouse, Elasticsearch, Terraform, AWS, and Datadog. From evolving real-time analytics and context data to strengthening streaming and batch pipelines, you’ll guide the platform that turns vast volumes of events into reliable, customer-facing product experiences while partnering across Core Engineering and product teams to make data faster, more resilient, and more useful for every LaunchDarkly customer. (Source language/tool mention)
Stack: Working primarily in Go and Python, your team tackles ambitious distributed-systems challenges with technologies including Kinesis, Airflow, Athena, and Iceberg on S3, ClickHouse, Elasticsearch, Terraform, AWS, and Datadog. From evolving real-time analytics and context data to strengthening streaming and batch pipelines, you’ll guide the platform that turns vast volumes of events into reliable, customer-facing product experiences while partnering across Core Engineering and product teams to make data faster, more resilient, and more useful for every LaunchDarkly customer. (Source language/tool mention)
Stack: , Airflow, Athena, and Iceberg on S3, ClickHouse, Elasticsearch, Terraform, AWS, and Datadog. From evolving real- (GTM description)
Stack: ding Kinesis, Airflow, Athena, and Iceberg on S3, ClickHouse, Elasticsearch, Terraform, AWS, and Datadog. From (GTM description)
Remote location: Remote - US (ATS remote location (not applicant eligibility))
Normalization: Explicit source location text; no city-only country inference.

Employer posting

Engineering Manager, Data Platform

Source details

Company identifier: LaunchDarkly
Source ID: greenhouse:launchdarkly:7992639003
Board: greenhouse:launchdarkly
Evidence field: description
Match rule: primary_language
Go matches in source: 4
Department as supplied: Core Engineering

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Go jobs, with the line that mentions Go.