GCP Devops Engineer

The Team: Our team is currently looking for individual with GCP knowledge aiming to work collaboratively (supporting, promoting and sharing best practices. The current architecture is based on a large on premise Hadoop cluster for data management and analytics. We have started a very ambitious programme to migrate data & analytics onto Google Cloud Platform. Role Overview: The purpose of this role is to join the current development team, get familiar with our environment, product and internal rules to finally organize a structured sequence of actions to upskill the entire team and get them ready to migrate the current work to the cloud. It’s a very senior team, working with a complex stack and the biggest challenge is to understand all technical restrictions that are present in our corporation and still guide the team towards a successful migration of our working product to the GCP. Key Accountabilities: It’s a hands-on job where the individual must be capable of • demonstrate how developers can resolve their current problems using GCP • Work independently, identifying key topics and organizing regular training sessions • find alternatives when the common approach is not applicable • write shippable code when required • work as a ‘traveler’ across different teams, advising where required Requirements: • Google Cloud Platform (Must be enough to handle challenges and build apps on GCP independently) • Bash/shell scripting • Python development / JupyterHub • Automation toolset Software engineering best practices including: continuous integration (using Jenkins) and continuous deployment • Git tools • Agile development (XP, Scrum, Kanban or others) • Excellent communication skills, English, verbal and written • Ability to be self-directed/motivated. • Keen to learn new skills and approaches. Inquisitive nature. • Excellent organization skills • Great communication skills in English PUBLIC Nice to have: • Familiarity with Hadoop, Spark, big data • Knowledge on Elastic Search • Atlassian toolset (JIRA, Confluence) • Hadoop platform • SQL • Pandas • Hive/SparkSQL • Ansible