Labelbox is hiring a

Senior Operations Engineer

San Francisco, United States
Full-Time
Remote
Labelbox is building software infrastructure for industrial data science teams to do data labeling for the training of neural networks. When we build software, we take for granted the existence of collaborative tools to write and debug code. The machine learning workflow has no standard tooling for labeling data, storing it, debugging models and then continually improving model accuracy. Enter Labelbox. Labelbox's vision is to become the default software for data scientists to manage data and train neural networks in the same way that GitHub or text editors are defaults for software engineers.

We are backed by some of the finest people in Silicon Valley who work at Andreessen Horowitz, Gradient Ventures (Google's AI fund), Kleiner Perkins and First Round Capital.

What you'll be doing

  • Executing and actioning on an infrastructure roadmap, collaborating with team members across engineering, product, and design
  • Maintaining and troubleshooting instances in development and production environments, both in the cloud and on-premises
  • Deploying and maintaining services in cloud and on-premises environments
  • Supporting developers and support engineers in solving blocking issues
  • Working with database technologies such as PostgreSQL, MySQL, or other RDBMS
  • Working with other open source technologies such as Redis, Elasticsearch, and RabbitMQ
  • Identifying and measuring key performance metrics for our infrastructure and defining service-level objectives (SLOs)
  • Participating in our on-call rotation

We're looking for someone with

  • 4+ years of relevant experience in an Operations, SRE or DevOps role
  • Experience with modern Linux systems and running services in production
  • Experience managing infrastructure in a major public cloud (AWS, GCP, Azure)Experience with Kubernetes or other container orchestration systems
  • Experience with Kubernetes or other container orchestration systems
  • Experience with and an understanding of complex distributed systems
  • Experience with database technologies such as PostgreSQL, MySQL, or other RDBMS
  • Experience with other open source technologies such as Redis, Elasticsearch, and RabbitMQ
  • Experience working under Agile / Scrum methodologies
  • Shell scripting or Python skills

Bonus

  • Experience with CI/CD tools and technologies such as Codefresh, Jenkins, TeamCity, etc
  • Log and metrics collection experience using tools such as ElasticStack, Datadog, and others
  • Experience with automation tools and technologies such as Terraform, Helm, etc
  • Coding skills in languages such as Java or Golang
  • Experience with SOC 2, FedRAMP, HIPAA, and other compliance-related programs
  • Experience managing multiple Kubernetes clusters / clusters spanning multiple cloud providers
  • Advanced knowledge of infrastructure management in GCP

We believe that AI has the power to transform every aspect of our lives -- from healthcare to agriculture. The exponential impact of artificial intelligence will mean mammograms can happen quickly and cheaply irrespective of the limited number of radiologists there are in the world and growers will know the instant that disease hits their farm without even being there.

At Labelbox, we’re building a platform to accelerate the development of this future. Rather than requiring companies to create their own expensive and incomplete homegrown tools, we’ve created a training data platform that acts as a central hub for humans to interface with AI. When humans have better ways to input and manage data, machines have better ways to learn.

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