Big Data/AI DevOps Engineer

  • Deep.BI
  • Warsaw
  • 10 000 - 15 000 PLN net / month
  • Any contract
  • 21.02.2019


Experience level: Senior

  • 5 years experience in administering large scale clusters based on Linux
  • Desire to build a great product used globally
  • Curiosity and a desire to continue learning new processes and technologies
  • Ability to work independently and as part of a team
  • Good interpersonal and communication skills
  • Intellectual curiosity, along with excellent problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutions


Necessary on this position:
  • Kafka
  • Hadoop
  • Druid
  • Flink or Spark

Project you can join

In this role you will deal with building and operating a variety of distributed data delivery and processing systems such as Kafka, Flink, Spark, Hadoop and more. Your key focus in on creating scalable artificial intelligence data pipelines. You will be facing great challenges around large scale, complex upgrades, automation and deployment of services in a micro-service and multi-tenant environments. You will also be dealing with solving complex system issues and constantly improving the performance of the services.

  • Building artificial intelligence learning and predictions data pipelines
  • Development and maintenance of Deep.BI platform infrastructure
  • Handling hundreds of terabytes of data Managing 100+ servers
  • Cloning our current hybrid cloud infrastructure to different datacenter located on different continents
  • Provide architectural solutions for complex data issues resulting from large-scale and rapid growth needs
  • Building and maintaining high-performance, fault-tolerant, scalable distributed software systems
  • Continuous improvement of operation processes and procedures, focusing on engineering approach and automation tools development
  • Maintain and scale the data science cluster with GPU

Work time division

System maintenance
System implementation
Creating documentation
Designing systems

How we manage our projects?

  • Methodology: Scrum
  • Who makes architectural decisions? Architect/CTO
  • Who makes technology stack decisions? Architect/CTO
  • Project management software: JIRA


  • Laptop
  • PC
  • Additional monitor
  • Headphones
  • Personal container
  • phone
  • Freedom to pick your tools
  • Operating system

Work environment

  • Tech supervisor
  • Open space
  • Separate rooms
  • Dress code
  • Flexible working hours
  • Remote possible: 25%
  • Paid vacation: 21 or 26 days


  • Healthcare package
  • Healthcare package for families
  • Leisure package
  • Leisure package for families
  • Financial bonus
  • Equity
  • Cold beverages
  • Hot beverages
  • Fruits
  • Snacks
  • Lunches
  • Conferences
  • Trainings
  • Books
  • Car parking
  • Bicycle parking
  • Shower
  • Chill room
  • Playroom for children
  • Integration events

People who may interview you


Contact this employer

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