Software Engineer II, Data Automation

Klaviyo•Boston, MA

1d•$116,000 - $174,000•Remote

About The Position

Klaviyo is growing fast and we have openings for all skill levels across all of our teams. Learn more about our engineering culture at https://klaviyo.tech. We love tackling tough engineering problems and look for Engineers who specialize in certain areas but are passionate about building, owning & scaling features end to end from scratch and breaking through any obstacle or technical challenge in their way. We push each other to move out of our comfort zone, learn new technologies and work hard to ensure each day is better than the last. Klaviyo operates a real-time data platform built for massive scale on Amazon Web Services (AWS). Engineers come to Klaviyo with experience in a variety of languages and from a number of disciplines.

Requirements

Degree or equivalent experience in a software engineering discipline
Proficient in using at least one modern programming language
Able to communicate well
Able to work with others on a team
Able to learn continuously and adapt to a high growth environment
Able to stick with and solve difficult problems
You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast.
You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient.

Nice To Haves

Experience designing, building, and operating distributed systems in a cloud computing environment
Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool
Experience performance tuning and scaling systems
Experience with OLTP and OLAP databases
Experience with high volume data processing and storage systems
Experience using Linux operating systems

Responsibilities

Designing, building, and maintaining systems that help us operate our mission critical analytics infrastructure.
Working with a cross functional team to help design systems, create infrastructure, write high quality code, and operate large scale systems in a production environment.