The Senior DevOps Engineer will be responsible for monitoring, administering and implementing the Data Tribe’s cloud systems and infrastructure as well as a limited number of on-premise systems. Candidates should have expert knowledge of Windows and Linux systems administration, MS SQL administration, HDP Hadoop cluster administration and multi-cloud (Azure/AWS) administration. The candidate should also have a passion for automation and CI/CD methodologies and be comfortable working in an Agile environment.
Implement operational strategy and architecture based on applied research
Identify opportunities for automation and design and implement solutions accordingly
Support development teams in the use of products and services
Share knowledge through documentation and consulting
Maintain cloud and on-premise platforms, including server administration (Azure, PDW, AWS, MS SQL administration, HDP Hadoop cluster administration), disaster recovering, security, etc.
Demonstrate knowledge, reliability, and creativity with modern software development infrastructure
Successfully design, deliver, maintain, and monitor highly dependable systems
Possess strong motivation to build, improve, and maintain a large business intelligence environment, spanning multiple technology stacks.
Automate new and existing processes and procedures.
Implement and improve CI/CD solutions.
Function in an Agile environment.
Self-starter who can work with limited supervision in a fast-paced environment.
Excellent communication skills for presenting solutions and sharing knowledge
Expert understanding of underlying infrastructure concepts (cluster management, cloud administration, Linux and Windows systems management, network communications)
Continuous Integration systems (Jenkins)
Development and scripting experience (T-SQL, Powershell, Bash, Python, .NET)
Cloud technologies (Azure, AWS)
Logging, Monitoring, and Alerting tools (Sumo Logic, SCOM)
Strong MS SQL Server administration skills
Source control management systems (Git)
Infrastructure automation tools (Packer, Vagrant, Consul, Terraform, Docker)
Experience with other technologies (Tableau, SSRS, SSAS, SSIS)