We store multibillion files and multiple petabytes of data. We observe more than 11K API requests per second on average. To make that possible and to provide the best possible experience, we'rely on great engineers. For us, people who own their work, from start to finish, are integral. Our engineers are part of the process from design to code, to test, to deployment and back again for further iterations. You can, and will, touch every level of the infrastructure depending on the day and what project you are working on. The ideal candidate should be able to take a complex problem and execute end to end. Mentor and set higher standards for the rest of the team and for the new hires.
WHAT you'll DO:
Build, scale, and administer a large fleet of MySQL servers spread over multiple data centers with a focus on performance, scale, and high availability.
Monitor and troubleshoot critical performance bottlenecks for MySQL databases before it causes downtime.
Review and assess the impact of database schema design, topology changes prior to their implementation
Ensure that databases are secured, maintained, backed up, and highly available.
Review stress testing results and provide recommendations to development teams
Automate anomaly detection to surface databases with failures, IOPS, deadlocks, and other failure reasons.
Automate management tasks, streamline processes, and perform standard administrative functions
you'll stand out if you have the following:
Experience in other distributed systems like Redis, Memcached, Postgres, MongoDB.
Experience in managing a large fleet of database servers.
Knowledge of HA and scalability issues with PostgreSQL
Knowledge about cloud providers (Google Cloud and/or Azure)
YOUR QUALIFICATIONS:
4+ Years of relevant industry work experience
Understanding of MySQL s (8.0+) underlying storage engines like InnoDB
Knowledge of Performance and scalability issues with MySQL and how to overcome them.
Strong experience with MySQL HA using Orchestrator / ProxySQL / Consul / Pacemaker
Good understanding of monitoring requirements
Experience in administering Linux-based systems
Experience with configuration management like Puppet/Ansible.
Knowledge of limitations in MySQL and their workarounds in contrast to other popular relational databases
Strong automation experience with at least 1 language Python/Ruby/Perl/Go and SQL scripting
Analytical skills necessary to perform troubleshooting of errors and performance issues on a large array of MySQL cluster spread over multiple data centers.
Self-taught and enthused to grow your skill set with new technologies as the industry continues to evolve.
BENEFITS:
Competitive salaries
Company equity depending on role and level
Medical insurance and healthcare benefits for you and your family