Our Database Engineering Team is transforming the way we manage commercial storage and database solutions for all of Bloomberg. We’re building a DBaaS (Database as a Service) platform to empower our engineers to build, deploy and monitor various database platforms. We build and maintain large-scale, highly transactional databases using Open Source technology. On our team, you’ll have the opportunity to support large and highly scalable database deployments. This is a relatively new self-service platform so you’ll have numerous technical challenges to keep you busy while designing and automating complex engineering processes as part of DBaaS platform. You should be a pro in Python because we are going to rely on you to help us build custom database monitoring tools.

We'll trust you to:

• Design and automate complex processes and build custom database monitoring & alerting in Python
• Automate orchestration and configuration management using tools such as CHEF and SALT
• Handle performance tuning, break/fix, backup and recovery, capacity planning, database fail-over setup and management
• Develop best practices and repeatable procedures for deploying and scaling databases
• Provide production support for highly transactional databases servicing OLTP and DSS applications
• Ensure our production systems are stable and secure

You need to have:

• Excellent scripting skills and working knowledge of Python is a must
• Deep knowledge of orchestration and configuration management systems
• Experience in designing and automating complex processes
• Experience working with Open Source database systems such as MySQL and PostgreSQL
• Database software patch and version upgrades of business critical production environments
• Familiarity with backup and recovery strategies

We'd love to see:

• Experience integrating databases with orchestration and change management systems
• Experience working with PostgreSQL and Chef, Salt etc.