The Problem

Relational databases are awesome. They support foreign keys, transactions and SQL. They are powerful, well-understood, well-supported and battle hardened. But because they support the powerful SQL, it is easy for an unexperienced developer to write a query that brings the whole database down. They also do not scale beyond a single node.

What if there was a way to keep all the advantages of a relational database, but have the ability to horizontally scale them like a NoSQL system? What if there was a system that provided guardrails that protected databases from toxic queries? What if all this could be achieved with minimal changes to your application while letting it view your sharded MySQL cluster as a giant monolithic database?

The Solution

The year was 2010 and two early engineers at Youtube were contemplating these problems. They built the open source system Vitess to solve them. Over the years, as Youtube databases moved from proprietary hardware to Google’s internal cloud (Borg), it acquired all the features a distributed system needs to work well with ephemeral instances in cloud - excellent observability, robust service discovery, and a solid master failover story. In 2015, Vitess was discovered by companies outside Youtube and now companies such as Slack, Square (Cash), JD.com depend on Vitess for scaling and serving their relational data.

At PlanetScale, we help businesses solve their relational data scaling problems by deploying and operationalizing Vitess clusters on premise as well as in cloud. We provide PlanetScale Deployment Platform that automates the deployment and management of Vitess clusters. We also plan to build a cloud-agnostic (AWS, GCP, Azure) DbaaS solution based on Vitess.

About You

You are all about backend infrastructure.  Architecture is described in terms of scalability, performance, security, resource management.  CAP theorem is a fact of life for you. You think in data models, and can convincingly describe why and when you’d use normalized and denormalized schemas. You dream of building high availability distributed services that scale and scale and scale.

What You Will Be Doing

PlanetScale’s goal is to make it a breeze to deploy and operate Vitess/MySQL clusters on premise as well as in cloud.  Your job is to make sure our infrastructure and architecture scales to meet those and many more demands, especially as we support multiple clouds and evolve the platform where we can run our own database as a service based on Vitess.

  • Leveraging Golang and Python to build scalable, secure software.
  • Building on top of our architecture stack, including Kubernetes, AWS, GCP and Azure.
  • Building out and iterating on the PlanetScale Deployment Platform for easily deploying and operating Vitess/MySQL clusters.

What Will Help You Be Successful

  • Ability to manage time efficiently and focus on clear goals
  • Pragmatic approach towards tackling unforeseen challenges
  • Experience with Golang and Python
  • Experience developing and or operating distributed systems at scale
  • Experience with MySQL and SQL.
  • Infinite appetite for learning

Perks At PlanetScale

  • Work closely with a cross functional team of highly motivated and intelligent folks with a unique range of startup and enterprise experience
  • Vibrant company culture with frequent team building events
  • 20% time for working on projects at company not related to your expertise
  • Competitive salary with stock options
  • Benefits & 401k plan option
  • Fully paid parking pass or CalTrain pass
  • Unlimited in-house snacks & drinks
  • Unlimited vacation

About Us

Founded in 2018, PlanetScale helps businesses solve their relational data scaling problems by deploying and operationalizing Vitess clusters on premise as well as in cloud. The company is headquartered in Mountain View, CA, and is backed by SignalFire. PlanetScale has an experienced team from innovative companies like Paypal, Google, Youtube, Dropbox and SevOne. To learn more about PlanetScale, visit www.PlanetScale.com.

 

Apply for this Job

* Required
File   X
File   X
When autocomplete results are available use up and down arrows to review
+ Add Another Education