DevOps Engineer

DevOps Engineer — Data Lake Team

As part of the Data Lake team, you will work on Big Data projects that process large volumes of data either in batch or real time, on premise and in the cloud.

Previous experience in an infrastructure or DevOps team, with operational tasks besides development and implementation, is highly desirable.

Key responsibilities:

• Work with development teams on the core infrastructure needs, standards and deployment scenarios
• Sustain the existent core infrastructure and help in integrating new technologies, while ensuring system stability
• Collaborate with fellow ranking administrators on setting up the infrastructure and CI/CD pipelines
• Work with data scientists and other data analytics teams
• Ensure proper documentation and traceability by improving deployment policies and procedures

Requirements:

• Experience with Amazon Web Services or other cloud providers
• Experience with IaC tools like Cloudformation or Terraform
• Knowledge of container technologies (Docker)
• Experience with Linux OS
• A working understanding of coding and scripting (Bash, Python)
• Experience with automation/configuration management systems (Ansible, Salt, Chef, Puppet)
• Knowledge of best practices and IT operations in an always-up, always available service
• Ability to understand abstract requirements, define implementation steps and deliver results keeping the client’s needs in focus
• High curiosity and self-driven nature, attention to details
• Good team player and communication skills
• Fast learner and willing to improve himself/herself daily
• Self-motivated, resourceful person, able to work independently and interdependently and to manage priorities
• Fluent in English

Big Pluses:

• Experience with container orchestration solutions (Kubernetes)
• Knowledge of logging and monitoring systems: Prometheus, Loki, Grafana, ELK Stack
• Working experience with RDBMS (MySQL, PostgreSQL)
• Experience working with NoSQL databases
• Familiarity with industry standard Big Data technologies from the Apache Hadoop environment
• An interest in data science related infrastructure

We offer:

• Possibility to work in a global product company with talented people
• Competitive salary according to the qualifications
• 21-day paid vacation, 5 days paid sick leave
• Relocation package
• Free English courses
• Regular corporate events and team buildings
• Lunch compensation
• Gym compensation.