Senior Software Engineer, Platform Engineering

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.

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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.

• 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.

• 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.

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 U.S. 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 compensation package may include participation in the company’s annual cash bonus plan, variable compensation (OTE) for sales and customer success roles, equity, sign‑on payments, and a comprehensive range of health, welfare, and wellbeing benefits based on eligibility.

Your recruiter can provide more details about the specific salary/OTE range for your preferred location during the hiring process.

Base Pay Range For US Locations:

$148,000 — $222,000 USD

This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events. Travel is coordinated in advance.

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