1 день назад
Engineering Manager, Data Platform
191 800 - 263 670$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineering Manager, Data Platform (Go/Python): Leading the development and operation of high-throughput data ingestion, streaming, batch pipelines, and analytical data stores powering LaunchDarkly products with an accent on distributed systems, reliability, and observability. Focus on coaching backend engineers, guiding technical tradeoffs, improving production resilience, and turning large volumes of events into reliable customer-facing experiences.
Location: Remote - US
Pay: $191,800–$263,670 in Zone 1; $172,600–$237,270 in Zone 2; $163,000–$224,070 in Zone 3, plus a 10% bonus target.
Company
provides a software delivery platform for feature management, experimentation, observability, and safer software releases.
What you will do
- Lead and develop a team of backend engineers through coaching, feedback, career growth, and technical mentorship.
- Own the delivery, correctness, reliability, and resilience of production data ingestion endpoints, pipelines, and data stores.
- Partner with Product Management and engineering teams to scope, estimate, sequence, and prioritize roadmap work.
- Communicate Data Platform priorities and progress to engineering leadership, partner teams, and customers.
- Drive operational excellence across observability, cost management, incident response, reliability, and on-call health.
- Establish collaborative team norms and participate in hiring.
Requirements
- 8+ years of software engineering experience, including at least 2 years managing backend or infrastructure engineers.
- Experience owning high-throughput, reliability-critical systems such as event ingestion, streaming or batch pipelines, or large analytical data stores.
- Strong distributed-systems fundamentals and sound judgment in technical tradeoffs.
- Experience partnering with Product Management to turn business goals into engineering plans and reliable estimates.
- Experience coaching engineers, managing performance, planning career growth, and leading production incident response.
- Experience with Go or Python; familiarity with Kinesis or Kafka, ClickHouse, Airflow, Athena or Iceberg, Elasticsearch, and Terraform is a plus.
Culture & Benefits
- Collaborative, respectful, humble, open, and inclusive working environment.
- High-trust culture with an emphasis on transparency and teamwork.
- Restricted stock units and a 10% bonus target.
- Health, vision, dental, and mental health benefits.
- Distributed work across time zones.
Hiring process
- Formal interview process required before an offer.
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