Senior Software Engineer - Asynchronous Processing

Senior Software Engineer - Asynchronous Processing

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 asynchronous processing and queueing systems.

As a Senior Platform Engineer on the Asynchronous Processing team, you’ll work on crafting a paved path for teams to manage their asynchronous workloads for a variety of different use cases.

• 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.

• BA or BS Degree in Computer Science, related field, or equivalent experience.
• 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.

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Massachusetts Applicants:
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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 US 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…