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Senior Software Engineer - Infrastructure Security

Klaviyo
CompanyKlaviyo
CategoryEngineering
LocationBoston
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted22 Jun 2026
Last verified30 Jul 2026
SourceEmployer career page (greenhouse)
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Description
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. Want to learn more about life at Klaviyo? Visit klaviyo.com/careers  to see how we empower creators to own their own destiny. Team Overview The Infrastructure Security team makes it simple and easy for engineers to make secure choices while developing world-class software at high speed. Security is built in by default—seamless and effortless—making engineers’ lives better and Klaviyo more secure. Our work sits at the intersection of security, infrastructure, and software engineering. We build cloud-native platforms and services that are reliable, secure, and performant at global scale, forming the foundation that Klaviyo engineers rely on every day. This role is for engineers who enjoy building modern distributed systems, care about security and reliability, and want to have real impact across a large engineering organization. How you’ll make an impact As a Senior Software Engineer on the Infrastructure Security team, you will build and operate the systems that help Klaviyo engineers ship secure software with confidence. You will: Design, build, and maintain cloud-native security services used across Klaviyo Own meaningful components and services end to end, from implementation through production operation Improve the availability, scalability, latency, and efficiency of infrastructure security systems Collaborate with senior engineers on system design and architecture, contributing ideas and technical solutions Identify performance, reliability, and security issues in distributed systems and drive improvements Work extensively with technologies such as Python, Golang, AWS, Kubernetes, Terraform, and modern data stores Participate actively in design reviews, code reviews, and whiteboarding sessions Contribute to operational excellence through monitoring, alerting, and incident response Participate in an on-call rotation with a focus on learning, prevention, and reducing operational toil Build tooling, automation, and documentation that improve developer experience and security posture Partner with product-facing and platform engineers to ship impactful, secure solutions   Who you are You have 6+ years of solid experience building and operating cloud-native, distributed systems in production You are comfortable writing production-quality code in a language such as Python or Go You have hands-on experience with AWS (or a similar cloud provider) and understand managed services, networking, and IAM concepts You have experience working with containers and orchestration platforms such as Kubernetes You have experience writing infrastructure as code using languages such as Terraform You are comfortable owning services and features independently, while knowing when to ask for feedback or support You understand the fundamentals of scalable, multi-tenant architectures and secure system design You care about reliability, performance, observability, and security—not just shipping features You are comfortable participating in on-call and responding to production issues You are an excellent communicator and collaborator. You lead technical discussions at the project and product-area level, write clear technical design documents and RFCs, and keep stakeholders aligned on progress, risks, and trade-offs. 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
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