Senior SRE, Site Reliability Engineer at Klaviyo

Klaviyo

Dublin, IE·1w ago

SeniorFull-timePythonReactDjangoAWSKubernetesTerraformMySQLRedisGitGo

Salary Range

$95,472 - $129,168 /year

Estimated

This salary is estimated based on similar roles. The actual salary may vary.

About the Role

We are looking for a Site Reliability Engineer to join Klaviyo's team in Dublin. This role focuses on ensuring Klaviyo’s critical platforms are reliable, scalable, and sustainable while enabling rapid product development.

Key Responsibilities

→Build and operate foundational, security-critical services with a strong emphasis on availability, scalability, latency, and fault tolerance
→Apply software engineering principles to automate infrastructure, reduce operational toil, and improve system reliability at scale
→Design, implement, and evolve systems using SRE best practices
→Define and refine SLIs, SLOs, and error budgets to guide engineering decisions
→Improve observability, alerting, and incident response to reduce mean time to detection and recovery
→Participate in on-call rotations with a focus on sustainable operations and automatic remediations
→Perform quantitative analysis to understand system behavior, capacity constraints, and scaling limits
→Identify systemic risks and reliability bottlenecks and drive long-term, preventative solutions
→Collaborate closely with product, platform, and security engineers to influence architecture early and ship reliable systems
→Mentor and pair with other engineers, helping raise the bar for reliability, operational maturity, and engineering excellence

Requirements

✓Write and maintain production-quality code (e.g. Python, Go, or similar) to build internal platforms, automate operations, and improve system reliability
✓Experience building, deploying, and operating distributed, cloud-native systems
✓Experience operating containerized workloads and platforms (e.g. Kubernetes) in production
✓Comfortable participating in on-call rotations and diagnosing production issues
✓Experience with infrastructure as code and declarative configuration (e.g. Terraform, Kubernetes manifests, policy-as-code)
✓Experience with capacity planning, load testing, and performance analysis for distributed services and platforms
✓Familiarity with AI tools and workflows