The Analytics Engineering Services team operates the product data stack at Box. This stack spans backend data pipelines from logtailers and product databases to object stores via Kafka pipelines. This in turn then gets consumed by variety of clusters, both on-premise and in the cloud, to provide capabilities like analytics, recommendations and search.
We are looking to augment the team with a senior engineer to help us continue scaling the analytics infrastructure with growing business demands. We are a small, passionate team that thinks big and is not afraid of huge, gnarly problems. If these challenges excite you, come join us.
Exponential growth in Box's business and the explosion in data volume brings new set of challenges for us. We need someone passionate and having domain expertise to manage, monitor and continuously improve an environment that can scale to millions of events per day, with quality, consistency and latency trade-offs optimized. We hope to learn from you the best practices for building and operating large scale distributed data infrastructures.
Box is growing fast. Real fast. Every business in the world is looking to modernize the way that they work. As the leader in cloud content management, Box is the only company that can help enterprises transform how people work together. We are undergoing a massive change in how we run our services and need to build an analytics platform to help guide our way. That'swhereyoucomein.
You're going to have the unique opportunity to design, architectand operate analytics backend on private and public clouds with the highest level of security, compliance and resilience, As you drive and scale our infrastructure, you will get to work with cutting-edge technologies including Hadoop, Spark, Kafka, ElasticSearch on AWS and GCP clouds. You will have visibility across all of Engineering and have impact directly on the entire business.
You have DevOps experience implementing large scale infrastructure using AWS or GCP
You have proven experience in managing, operating and scaling at least one distributed data stack. Eg: Hadoop or Elasticsearch.
You love building distributed client/server systems in Python.
You are proficient with Infrastructure as Code, e.g Terraform/Ansible/Puppet.
You act like an owner and strive to do work you're proud of, both technically and in your team interactions
You are able to inspire other people to work with you, and you enjoy mentoring and coaching junior engineers