Lead CI/CD Architect: Accelerate Deployment with AI

Klaviyo Campus; Boston (MA); On-site; USD 176,000 - 264,000; Full time

Job summary

Klaviyo is seeking a Lead for Developer Infrastructure to guide CI/CD pipelines and automation that empower engineers to ship code with confidence. You will define the technical roadmap, set standards, and drive scalable tooling across backend and frontend stacks.

You will lead cross-functional teams, conduct root-cause analysis to prevent incidents, and apply AI-driven strategies to accelerate the SDLC while maintaining security and reliability.

Qualifications

• 7+ years of software engineering with leadership experience.
• Experience debugging deep-stack issues and root-cause analysis findings.
• Ability to design systems across frontend and backend, with an eye for scale.
• Experience applying AI to SDLC and testing to accelerate delivery.
• Strong ownership of platform health, reliability, and security.

Responsibilities

• Define architectural vision and long-term CI/CD strategy across backend and frontend stacks.
• Architect fast, reliable deployments with secure, auditable pipelines.
• Set engineering standards for repositories, PRs, cycle time, and code quality.
• Lead scalable tooling initiatives to raise maturity and consistency across teams.
• Lead cross-functional collaboration to optimize velocity and incident response.

Skills

Root-cause analysis

CI/CD

Full-stack design

AI in SDLC

Hands-on leadership

DevOps tooling

Technical strategy

Tools

Python

Django

Go

React

TypeScript

JavaScript

Playwright

Cypress

Pytest

Jest

AWS

Kubernetes

Terraform

Helm

Buildkite

MySQL

Redis

Kafka

Claude

Job description

Klaviyo is seeking a Lead for Developer Infrastructure to guide CI/CD pipelines and automation that empower engineers to ship code with confidence. You will define the technical roadmap, set standards, and drive scalable tooling across backend and frontend stacks.

You will lead cross-functional teams, conduct root-cause analysis to prevent incidents, and apply AI-driven strategies to accelerate the SDLC while maintaining security and reliability.