Engineering Manager, Data Platform

🔥 18 hours ago

🇺🇸 United States – Remote

💵 $163k - $263.7k / year

⏰ Full Time

🟠 Senior

🔴 Lead

👮‍♀️ Software Engineering Manager

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LaunchDarkly

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2014

💼 Consulting

🏥 Healthcare

📦 Logistics

💰 $200M Series D on 2021-08

Consulting • Healthcare • Logistics

LaunchDarkly is a software company offering a platform for feature management and experimentation. Its solutions allow developers to control software releases through feature flags, enabling safeguarded and progressive rollouts. The platform integrates with various developer tools and supports multiple programming languages to streamline deployment and improve the developer experience. LaunchDarkly's solutions cater to industries including financial services, healthcare, high tech, retail, and government, among others, providing a robust infrastructure that aids in delivering customized and targeted user experiences.

📋 Description

• Lead and develop a team of backend engineers, providing coaching, feedback, and career growth opportunities • Own the delivery, correctness, and resilience of Data Platform's production systems, including Tier 0 ingestion endpoints and the pipelines and data stores behind them • Partner with Product Management and consuming engineering teams to scope, estimate, and sequence roadmap work, making tradeoffs in real time • Act as the primary communicator and point of contact for Data Platform with engineering leadership, partner teams, and customers • Drive operational excellence across reliability, observability, cost, incident response, and on-call health • Build team working norms that promote collaboration, reduce silos and bus factor, and keep engineers engaged • Participate in hiring to grow the team and raise the engineering bar • Lead the Data Platform team building and operating systems that ingest, process, and serve real-time and batch data powering LaunchDarkly products

🎯 Requirements

• 8+ years of experience in software engineering, with at least 2 years managing a team of backend or infrastructure engineers • Experience owning high-throughput, reliability-critical production systems such as event ingestion, streaming or batch pipelines, or large analytical data stores • Strong distributed-systems fundamentals and the judgment to guide technical tradeoffs with senior engineers • Proven ability to partner with Product Management to translate business goals into engineering plans with reliable estimates • Track record of coaching and developing engineers, including performance management, career growth planning, and technical mentorship • Strong communication skills in a distributed, cross-time-zone environment • Familiarity with observability practices (metrics, tracing, alerting, structured logging) and comfort leading production incident response • Experience with Go or Python, and with technologies such as Kafka or Kinesis, ClickHouse, Airflow, Athena or Iceberg, Elasticsearch, and Terraform is a plus

🏖️ Benefits

• 10% Bonus Target • Restricted Stock Units (RSUs) • Health insurance • Vision insurance • Dental insurance • Mental health benefits