Klaviyo is looking for a Senior Full Stack Engineer to support key initiatives that enhance their product offerings and drive company growth by delivering end-to-end solutions using both front-end and back-end technologies, improving existing products, and developing new capabilities.
Requirements
- Experienced engineer with deep expertise in Python and Django—or a fast, adaptable learner who thrives in any stack with the right tools.
- Experience building end-to-end software solutions or deep experience with both front-end and back-end technologies
- Familiarity with code reviews and leading or participating in robust testing practices
- Skilled in working with cloud technologies, particularly AWS
- Experienced in event-driven architecture using tools like Kafka, SQS, or PubSub
- Track record of building and maintaining reliable, large-scale production systems
- You’ve already experimented with AI in work or personal projects, and you’re excited to dive in and learn fast.
Responsibilities
- Drive critical platform improvement projects that enhance performance and scalability
- Optimize real-time pipelines for accurate usage tracking at scale (e.g., campaign volumes)
- Deliver billing transparency improvements—both platform and customer-facing—through incremental value, fast learning, and unlocks that drive clarity, trust, and reduced friction
- Own and evolve key components of an event-driven architecture powering high-reliability systems
- Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up.
- Contribute to team discussions and help shape important technology decisions.
- Ship well-designed, thoroughly tested solutions that prioritize reliability and performance.
Other
- 5+ years of experience in a software engineering role
- Experience working in agile, fast-paced environments
- Skilled at mentoring teammates and fostering growth across the engineering org
- Comfortable making fast, high-impact decisions and communicating clearly with both the team and stakeholders in dynamic environments
- You’re hungry to responsibly explore new AI tools and workflows, finding ways to make your work smarter and more efficient
