We are looking for an experienced database engineer with an operations background in building sustainable solutions for data storage and streaming platforms. Our team’s mission statement is to “provide tools and expertise to solve common operational problems, accelerating and simplifying product development.” As part of the team, you’ll be working with a variety of data-related technologies, including MySQL, Clickhouse, Kafka, and Redis, in an effort to transform these technologies into platform services. NOTE: this is not a ‘data scientist’ role, rather this role is to help design and build datastore-related platforms for internal stakeholder groups within DigitalOcean. See more below for role expectations.
This is an opportunity to build the services and systems that will accelerate the development of DigitalOcean’s cloud features. Services will provide highly available, operationally elegant solutions that serve as a foundation for a growing product base and serving a global audience. This is a high-impact role and you’ll be working with a large variety of product engineering teams across the company.
Administration, operations, and performance tuning of Vitess-managed MySQL datastores ,with a focus on large-scale, sharded environments
Architecting new Vitess-based MySQL database infrastructure on bare metal
Delivering managed data platform solutions as a service that facilitate adoption and offer operational elegance
Working closely with product engineering and infrastructure teams to drive adoption of services throughout the company
Instrument and monitor services developed to ensure operational performance
Create tooling and automation to reduce operational burdens
Establishing best practices for development, deployment, and operations
Driving adoption of services throughout the company
Interact with developers and teams to resolve site and database issues
Experience supporting MySQL (ideally with Vitess or other sharding solutions) in a production environment, with in-depth knowledge of backups, high availability, sharding, and performance tuning
Distinguished track record developing and automating platform solutions that serve the needs of other engineering teams
Experience with other data technologies such as Kafka and Redis
Fluency in SQL, Python, Bash, or other scripting languages
Experience with Linux performance troubleshooting
Experience with configuration management tooling such as Chef & Ansible
An understanding of using ProxySQL and Kubernetes
Familiarity with continuous integration tools such as Concourse, GitHub Actions
Some familiarity with Go readability
Passion for production engineering done in a resilient fashion
You have a passion for not repeating yourself (DRY) by way of automation
Demonstrated expertise in being a ‘data scientist’ - this role has much more production engineering focus
Crunching mundane support tickets day over day - be the Automator
Following a lengthy and strict product roadmap - engineers wear product hats as needed and help define what platform gets built
*This is a remote role
#LI-Remote
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