Senior Software Engineer, Platform Engineering

About the role

At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo 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. This role focuses on owning the design and development of foundational platform services that enable Klaviyo's engineering teams to move faster with confidence. The hire will build a deep understanding of engineering needs across the organization to guide the design of appropriate platform primitives. They will craft paved paths for product teams to manage their services and applications effectively. Success will be measured by dramatic improvements in availability, scalability, latency, and efficiency of core platforms. The role requires collaboration with infrastructure, databases, queuing, and developer experience domains. You will leverage technology such as Python, Go, AWS, and Kubernetes to advance Klaviyo's platform.

Key facts

What you'll do

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.

Own the implementation of platform services and developer experience tools that abstract complexity and streamline workflows.

Collaborate closely with product and infrastructure teams to ensure platform roadmaps solve real-world problems at scale.

Champion best practices for security, reliability, and operational excellence across all platform components.

Drive the adoption of infrastructure as code, API gateways, traffic management, observability, and asynchronous processing tooling.

Experiment with AI in work or personal projects, and get excited to dive in and learn fast by responsibly exploring new AI tools and workflows to make work smarter and more efficient.

Continuously refine platform services based on feedback loops, incident postmortems, and evolving engineering standards.

Requirements

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.

Practical notes

The role requires the successful candidate to be in the office 5x a week. There are no specified travel requirements, visa sponsorships, or application deadlines mentioned in the source material. Compensation details such as salary ranges, bonuses, or equity are not provided in the source. This job description is derived solely from the provided source content and does not introduce any external assumptions or invented details. All requirements, responsibilities, and expectations are directly sourced from the supplied text. The description maintains a focus on platform engineering, cloud-native practices, and cross-team collaboration. The role is positioned as a senior level position requiring significant operational experience. The successful candidate will influence platform strategy and enable broader engineering productivity.