The Platform Engineering team at Klaviyo needs to provide infrastructure primitives, platforms, tooling, and guidance to Klaviyo engineering, specifically focusing on core asynchronous processing and queueing systems to empower product teams and improve the availability, scalability, latency, and efficiency of these services.
Requirements
- 5+ years of responsibility operating & scaling complex distributed systems.
- Experience working in a cloud-native environment.
- Proven experience developing applications in Python
- Expertise and hands-on experience with asynchronous processing and queueing systems, including SQS, Kafka, and Apache Pulsar.
- Fundamental understanding of Linux and all layers of the networking stack; you should be confident administering and debugging production Linux systems.
- Ability to handle yourself and complex systems in outage situations and to drive failures to root cause analysis and prevention of future issues.
- 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.
Responsibilities
- Build a deep understanding of engineering needs across the organization, guiding the design and development of appropriate platform primitives in queueing that align with the platform's vision and practically empower product teams.
- Design, develop, and deliver software to dramatically improve the availability, scalability, latency, and efficiency of Klaviyo's asynchronous and queueing services.
- Design and develop systems and processes that enable highly available & scalable systems, with a focus on asynchronous processing.
- Leverage technology such as Python, AWS, and Kubernetes to advance Klaviyo's platform, with a deep focus on Apache Pulsar, SQS, and Kafka
- Champion best practices by actively collaborating with other teams in a culture that values technical design review.
- Mentor and pair with other Klaviyo engineers to build better software by focusing on performance, self-healing systems, configuration as code, and defensive programming.
- Participate in periodic on-call duties with a focus on solving issues when they are discovered, preventing recurrences and minimizing alert fatigue.
Other
- BA or BS Degree in Computer Science, related field, or equivalent experience.
- AI fluency at Klaviyo includes responsible use of AI (including privacy, security, bias awareness, and human-in-the-loop).
- Klaviyo is committed to a policy of equal opportunity and non-discrimination.
- We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
