Senior Software Engineer, Platform Engineering

The mission of the Platform Engineering team is to provide infrastructure primitives, platforms, tooling, and guidance to Klaviyo engineering. This role will specifically focus on our core platform services and developer experience.

As a Senior Software Engineer, you'll work on crafting a paved path for product teams to manage their services and applications. You will own the design and development of foundational platform services that enable Klaviyo's engineering teams to move faster with confidence. This role will be required to be in office 5x a week.

How you will make a difference:

• Ship foundational services to enable Klaviyo engineering to move faster with confidence.
• Build a deep understanding of engineering needs across the organization, guiding the design and development of appropriate platform primitives (Infra, Databases, Queuing, etc), 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 core platforms, helping teams to better serve customers and meet their SLOs
• Design and develop systems and processes that enable highly available and scalable applications.
• Leverage technology such as Python, Go, AWS, and Kubernetes to advance Klaviyo's platform.
• Mentor and pair with other Klaviyo engineers to build better software by focusing on performance, self-healing systems, configuration as code, and defensive programming.

Who You Are:

• BA or BS Degree in Computer Science, related field, or equivalent experience.
• 5+ years of responsibility operating and scaling complex distributed systems.
• Experience working in a cloud-native environment.
• Proven experience developing applications in Python and Go.
• Experience in operating Kubernetes at scale.
• Experience with Terraform.
• Fundamental understanding of Linux and all layers of the networking stack.
• Experience in a subset of platform-related areas such as Kubernetes, infrastructure as code, API gateways & traffic management, observability, or asynchronous processing tooling.
• 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.