Software Engineer II, Data Automation

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers to see how we empower creators to own their own destiny. 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 test 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 systems that help us operate our mission critical analytics infrastructure. You will work with a cross functional team to help design systems, create infrastructure, write high quality code, and operate large scale systems in a production environment. Team Tech Stack AWS Python Terraform Kubernetes Clickhouse DynamoDB MySQL Kafka Spark Flink Iceberg Airflow Required Skills 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. Preferred Skills 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 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 Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Our salary range reflects the cost of labor across various U.S. geographic markets. The range displayed below reflects the minimum and maximum target salaries for the position across all our US locations. The base salary offered for this position is determined by several factors, including the applicant’s job-related skills, relevant experience, education or training, and work location. In addition to base salary, our total com ... (truncated, view full listing at source)