Senior Software Engineer, Infrastructure Security

Klaviyo Klaviyo · Enterprise · Dublin, Ireland · Engineering

Senior Software Engineer, Infrastructure Security at Klaviyo. This role focuses on building internal platforms, systems, and services to enable engineers to develop securely and efficiently. The engineer will design, develop, and ship foundational security services, improve system availability, scalability, and performance, and mentor other engineers. While the role involves using AI-powered tools and exploring AI applications for productivity, its core function is in infrastructure security and general software engineering, not direct AI/ML model development.

What you'd actually do

  1. Ship foundational security services to enable Klaviyo engineering to move faster with confidence
  2. Design and develop systems and processes that enable highly available & scalable systems
  3. Design, build and deliver software to dramatically improve the availability, scalability, latency, and efficiency of Klaviyo’s services
  4. Achieve break-throughs in systems throughput by identifying and eliminating bottlenecks
  5. Leverage technology such as Python, Golang, AWS, Django, Kubernetes, Bash, Terraform, MySQL, Redis, Clickhouse, Iceberg, DataLake, Istio, Postgresql, and more to advance Klaviyo’s platform

Skills

Required

  • Linux operating systems
  • computer networking
  • Python
  • Ruby
  • Go
  • cloud infrastructure
  • high scale environment
  • highly available systems
  • complex problems end to end
  • modern web engineering
  • scalable, multi-tenant architectures
  • AI-powered tools
  • AI thoughtfully to improve engineering productivity
  • AI-enabled systems
  • operational excellence
  • performance
  • reliability
  • observability
  • on-call participation
  • clear communicator
  • collaborative teammate
  • leading technical discussions
  • writing design docs or RFCs
  • keeping stakeholders aligned

Nice to have

  • security tooling
  • Vault
  • AWS IAM
  • WAFs
  • diagnosing and improving systems performance
  • database queries
  • complex, multi-service workflows

What the JD emphasized

  • deep expertise in one or more areas of modern web engineering (e.g. backend services, data pipelines, internal platforms, or AI-enabled systems)
  • You regularly use AI-powered tools in your development workflow and are curious about applying AI thoughtfully to improve engineering productivity and system capabilities.