Databricks
Databricks is the lakehouse company$1. .$1
Apache Spark • Apache Spark Training • Cloud Computing • Big Data • Data Science
1001 - 5000
Sr. Engineering Manager - Service Platform
May 23
🏢 In-office - Bay Area
Databricks
Databricks is the lakehouse company$1. .$1
Apache Spark • Apache Spark Training • Cloud Computing • Big Data • Data Science
1001 - 5000
Description
• As a Sr. Engineering Manager on the Service Platform team, you will build infra components and systems that allow product facing engineering teams to build large-scale, distributed, and fault-tolerant systems. This encompasses high availability, low latency ingress infra for all incoming traffic (routing, load balancing, authorization), service to service communication and general purpose framework components for building reliable services at Databricks. • You will report directly to the Director of Engineering.
Requirements
• 5+ years experience working on large- scale distributed systems, frameworks, or platform infrastructure • Experience leading multi-project teams, mentoring staff-level software engineers and managers, and building new teams from the ground up to deliver value to Databricks customers • Can ensure the team builds high quality and reliable infrastructure services; experience being responsible for testing, quality, and service level agreements of a product; previous experience building teams in a complex technical domain, such as on distributed data systems or database internals • Experience attracting, hiring, and coaching engineers who meet the Databricks hiring standards; can up level existing team by hiring top-notch senior talent, growing leaders and helping struggling members; can gain the trust of the team and guide their careers • Experience building and running cloud platforms or learning new concepts in the SaaS space (e.g. technical background) • Comfort working cross functionality with product management and directly with customers; ability to understand product and customer personas • BS in Computer Science or related field (Masters or higher)
Benefits
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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