We want people who are passionate about building the infrastructure and platforms that will improve the resiliency, scaling, and development speed for cloud services.

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.

What You’ll Be Doing

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

What We’ll Expect From You

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

What We’d Love You To Have

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

What Will Not Be Expected From You

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

Why You’ll Like Working For DigitalOcean

We innovate with purpose. You’ll be a part of a cutting-edge technology company with an upward trajectory, who are proud to simplify cloud and AI so builders can spend more time creating software that changes the world. As a member of the team, you will be a Shark who thinks big, bold, and scrappy, like an owner with a bias for action and a powerful sense of responsibility for customers, products, employees, and decisions.
We prioritize career development. At DO, you’ll do the best work of your career. You will work with some of the smartest and most interesting people in the industry. We are a high-performance organization that will always challenge you to think big. Our organizational development team will provide you with resources to ensure you keep growing. We provide employees with reimbursement for relevant conferences, training, and education. All employees have access to LinkedIn Learning's 10,000+ courses to support their continued growth and development.
We care about your well-being. Regardless of your location, we will provide you with a competitive array of benefits to support your overall well-being, from one-time work from home stipend to wellness allowance to flexible time off policy, to name a few. While the philosophy around our benefits is the same worldwide, specific benefits may vary based on local regulations and preferences.
We reward our employees. The salary range for this position is between $114,160.00 - $157,000.00 based on market data, relevant years of experience, and skills. You may qualify for a bonus in addition to base salary; bonus amounts are determined based on company and individual performance. We also provide equity compensation to eligible employees, including equity grants upon hire and the option to participate in our Employee Stock Purchase Program.
We value diversity and inclusion. We are an equal-opportunity employer, and recognize that diversity of thought and background builds stronger teams and products to serve our customers. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service.
This is a remote role