Senior Software Engineer, Metadata Platform — Equity

Box

Redwood City (CA)

Hybrid

USD 140,000 - 210,000

Full time

2 days ago
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Job summary

Box is seeking a Senior Software Engineer for the Metadata Platform in Redwood City, CA. You will design and build components powering the metadata layer, leveraging Kubernetes and cloud-native services to deliver scalable, observable systems that support the Box Content Cloud.

In this role, you will mentor engineers, help shape the platform roadmap, and drive reliability and performance improvements across services while collaborating with cross-functional teams in a fast-paced, AI-driven

Qualifications

  • 4+ years of professional software development experience.
  • Extensive experience deploying and operating microservices in a cloud environment.
  • Proven track record building services in Java, Go, Scala or Python.
  • Experience with message queues and streaming systems like Kafka or PubSub.

Responsibilities

  • Lead design and implementation efforts for new components of our platform, from the ground up.
  • Design and implement scalable services with a focus on reliability, observability, operability and efficiency.
  • Work with cutting-edge technologies like Kubernetes, Docker, BigTable, and Istio.
  • Be heavily involved in setting the platform vision and defining feature roadmaps.
  • Mentor other engineers and contribute to team growth and development.
  • Strengthen engineering processes, principles, and culture within the team and across Box.

Skills

4+ years of experience
Cloud microservices
Java/Go/Scala/Python
Kafka/PubSub

Tools

Kubernetes
Docker
BigTable
Istio

Job description

Box is seeking a Senior Software Engineer for the Metadata Platform in Redwood City, CA. You will design and build components powering the metadata layer, leveraging Kubernetes and cloud-native services to deliver scalable, observable systems that support the Box Content Cloud.

In this role, you will mentor engineers, help shape the platform roadmap, and drive reliability and performance improvements across services while collaborating with cross-functional teams in a fast-paced, AI-driven

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