Senior Software Engineer - Infrastructure Security
Klaviyo
| Company | Klaviyo |
| Category | Engineering |
| Location | Boston |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 22 Jun 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (greenhouse) |
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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