Senior Software Engineer - Data Automation

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.

***Must be able to work onsite in the Boston office at least three days per week***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

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