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. Responsibilities The Data Automation team builds tooling that helps our Data Platform engineers provision and use infrastructure to power core Klaviyo functionality and generate data-driven insights. As an engineer on this team, you will be responsible for designing, building, and maintaining our mission critical analytics infrastructure. You will work with a cross functional team to write technical design documents, create system infrastructure, write high quality code, and operate large scale systems in production. You will also review other engineer’s designs and code, and provide technical mentorship to other engineers on the team and in the broader engineering organization. Team Tech Stack AWS Terraform Python Kubernetes Clickhouse DynamoDB MySQL Kafka Spark Flink Iceberg Airflow Required Skills BA or BS Degree in Computer Science, related field, or equivalent experience 7+ years of experience in a software engineering discipline Highly skilled in using at least one modern programming language Experience provisioning infrastructure using Terraform or a similar infrastructure as code tool Experience designing, building, and operating distributed systems in a cloud computing environment Experience using Linux operating systems Experience with OLTP and OLAP databases Experience with high volume data processing and storage systems Able to communicate well, both verbally and in writing 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 We use Covey as part of our hiring and / or promotional process. For jobs or candidates in NYC, certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound on April 3, 2025. Please see the independent bias audit report covering our use of Covey here
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
501-1,000 employees