Sr. Consultants for ML Ops

  • Develop, test, and deploy code that will configure and manage our client’s enterprise container service environments (Docker and Kubernetes)
  • Deliver training, coaching, and support for engineering teams to write code that will manage infrastructure and application configurations
  • Provide product vision, standards, and best practices for using configuration management software across the organization
  • Participate in team code reviews and design reviews
  • Develop and deploy services to improve the availability, ease of use/management, and visibility of our systems
  • Architecting, building, and scaling out our services and infrastructure
  • Learning and adopting technologies that may aide in solving our challenges
  • Own our systems like our Hadoop and Presto clusters, front/back-end services, build configurations, infrastructure components, deployment of services into our infrastructure, and everything in between
  • Review and debug production code, develop documentation and capacity plans, and debug live production problems=
  • Contributing back to open-source projects if we need to add or patch functionality
  • Support the overall Software Engineering team to resolve any issues they encounter
  • Professional Linux/Unix Systems Admin experience as well as a firm grasp of networking fundamentals
  • Professional experience with Java and Python
  • Experience developing Service Oriented Architecture (SOA) in a High Availability environment
  • Experience with configuration management tools including Ansible, Chef, Puppet and idempotency


  • 2-5 years’ work experience in an infrastructure engineering role
  • 1+ years of experience with container software (Docker and Kubernetes)
  • Strong understanding of container lifecycle
  • Understanding of infrastructure as code concepts
  • Exposure to one or more programming languages (JavaScript, Java, .NET, Python, etc.)
  • Understanding of network architecture
  • Experience with the usage of GitHub (or Git version control systems)
  • Experience working in an agile development environment is a plus
  • Experience working with Amazon Web Services and/or Microsoft Azure is a plus
  • Self-starter with an ability to take a task, analyze what needs to be done, and deliver results in a timely manner (we don’t do “analysis paralysis”)
  • Detail oriented, team player with an ability to work with minimal direction
  • Detail oriented, team player with an ability to work with minimal direction
  • Excellent communication skills in a customer-facing work environment
  • Preferred - Bachelor’s degree in computer science or a related field

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