KarieraManagera
OFERTA PRACY

Engineering Manager II, Metadata Platform

Box

Stany Zjednoczone · Redwood City
Hybrydowo
Umowa o pracęOpublikowano 10 listopada 2026
Źródło: crawljobs.com
Box is seeking an Engineering Manager II to lead, grow, and mentor a team of engineers responsible for developing and scaling the foundational capabilities of the Box Metadata Platform. The role combines technical leadership and people management to ensure platform capabilities are delivered securely, reliably, and compliantly worldwide.

Responsibilities

Partner with product management and technical leadership to define platform vision and roadmaps; Lead, coach, and develop a team of engineers focused on building scalable distributed systems; Lead design and implementation efforts for new services and components of the platform, from the ground up; Drive design and implementation of scalable services with a focus on reliability, observability, operability and efficiency; Work with cutting-edge technologies such as Kubernetes, Docker, BigTable, Elasticsearch, Spark, Istio; Strengthen engineering processes, principles, and culture within the team and across Box by championing a culture of learning, continuous improvement, and blameless retrospection

Requirements

6+ years of experience in software engineering; 2 or more years in a management role; proven experience managing and scaling high-performing engineering teams in complex, large-scale production environments; excellent communicator able to articulate technical vision and foster alignment across diverse stakeholders; collaborative leader who empowers engineers, promotes ownership, and drives accountability; experience owning and operating highly available business critical systems; Bachelor's degree or higher in Computer Engineering or a related field; based in or willing to work from the Redwood City office at least 3 days per week

Nice to have

Familiarity with Elasticsearch/Solr/Lucene or other information retrieval systems; Familiarity with the RAG pattern and vector/semantic search systems; Experience with public clouds such as Google Cloud Platform, Amazon Web Services or Azure; Experience deploying and operating high volume and velocity microservices on Kubernetes

Benefits

Equity; benefits and perks