At Sisense San Francisco, engineers work the whole cloud stack - from shipping UI to optimizing the billions of rows flowing through our data pipelines.
We're constantly making the SQL faster and the analytics more powerful. You'll be working on the full stack: from the Go and Java microservices, to the automation managing giant database clusters, to the Rails and React frontends.
How You'll Ramp:
- First day: you'll ship new code to production.
- First week: you'll build at least one customer-facing feature.
- First month: you'll write code at every level of the stack, from microservice backends to web servers to UI code.
- First 6 months: you'll rebuild a major piece of the stack to support our ever-increasing scale.
What You've Accomplished So Far:
- You write clean code. You have loads of evidence of all the code you write and ship.
- You have experience with distributed systems and microservices. You know how to scale systems as well as identify and resolve performance bottlenecks.
- You believe strongly that shipping is a feature. You're comfortable with tradeoffs. You understand instinctively that today >> tomorrow.
- You have at least a hobbyist-level relationship with data. You find that moment when a datapoint makes you say "hmmm..." to be delightful.
- You're excited to pitch in wherever the team needs help, from writing blog posts to supporting customers.
Recent Engineering Projects:
- Speeding up metrics calculations by over 10,000X by implementing them as parallel bitwise operations on bitsets.
- Improving chart render speed by over 100X by reimplementing on top of Canvas instead of SVG.
- Auto-ETLing entire customer databases into our data cache while targeting < 1hr freshness on all customer data.
- Implementing cross-database query translation and cross-database joins.
Our Interview Process:
- We want to know what it's like to work together; there are never any riddles or inverting trees on whiteboards.
- First you'll see the product and how customers use it. Later we'll code together online, or review your solution to an offline code challenge. And when you come on site to meet the team, you'll spend a couple hours pair programming in the codebase.
Our most important feature is our phenomenal development speed. We deploy to production an average of 2 times per day. Much of this is cultural, and much of it is investing in anything that will reduce drag on the team, like fully automated testing, one-click test-and-deploys, as well as comprehensive monitoring and alerting.
If you learn quickly and have that get-stuff-done attitude, we'd love to talk to you!