Senior Manager of Engineering, Production Infrastructure

Klaviyo•Boston, MA

About The Position

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 careers.klaviyo.com to see how we empower creators to own their own destiny. Klaviyo powers growth for thousands of businesses, and our R&D teams build on shared platform primitives. As the Senior Manager, Production Infrastructure, you’ll lead the teams behind our paved roads—compute runtimes, service networking/ingress, and observability—so product engineers can move fast on a stable, cost‑disciplined foundation. You’ll publish opinionated defaults (“golden paths”), install SLO discipline, and make reliability and developer experience measurable across the company. This is a hands‑on leadership role: you’ll stay close to architecture and operations, review designs and PRs, jump into incidents when needed, and prototype reference solutions that set the standard.

Requirements

7–10+ years in infra/SRE/platform with 3–5+ years leading teams (including managers or staff/lead ICs).
Demonstrated SRE practices (SLI/SLO design, incident mgmt, capacity planning) and experience with Kubernetes/container orchestration, service networking, IaC, and modern observability.
Technically credible and hands‑on: comfortable reading and discussing code (e.g., Go, Python, or Java), reviewing PRs, and writing small prototypes/tooling when it accelerates the team.
Fluent with Kubernetes internals (scheduling, autoscaling, resource management) and service networking (e.g., Envoy/Istio/Linkerd, API gateways).
Operate the full observability stack (metrics, logs, traces, profiling) and instrument SLIs/SLOs using OpenTelemetry‑friendly patterns.
Automate by default: Terraform (or Pulumi), Helm/Kustomize, GitOps, CI/CD; you prefer guardrails and policy‑as‑code over manual gates.
You write crisp docs/diagrams and define platform contracts that hold up under scale.
You drive measurable developer velocity and reliability improvements and communicate progress with clarity.
You build inclusive, high‑trust teams and partner tightly across Security/Product/Finance.
You’ve already experimented with AI in work or personal projects and are eager to deepen your fluency responsibly.

Nice To Haves

Platforms “as a product” (DX metrics, roadmaps), event‑driven architectures, and cost‑to‑serve optimization in high‑growth SaaS.
Experience contributing to platform code or tooling (e.g., base images, CLI/scaffolding, controllers/operators, admission/policy), multi‑cluster or multi‑region operations, and progressive delivery.

Responsibilities

Own and evolve platform primitives in scope (compute runtimes, service networking/ingress, observability) with clear APIs, SLOs, runbooks, and support tiers.
Lead by example technically: drive design reviews, review PRs, and author reference implementations, starter repos, and Terraform/Helm modules that demonstrate the golden path.
Deliver golden paths and self‑service scaffolding; reduce time‑to‑first‑service and lead time for changes.
Raise the bar on reliability: incident response (blameless), alert hygiene, capacity planning, and on‑call health.
Be production‑close: participate in critical incident response and postmortems; trace issues across Kubernetes, service mesh, and data paths; convert learnings into durable fixes, guardrails, and policy‑as‑code.
Standardize observability end‑to‑end: expand OpenTelemetry adoption, define log/trace schemas, and make SLOs and error budgets first‑class in dashboards and alerts.
Evolve our Kubernetes and networking layers: plan cluster upgrades, right‑size node/Pod configs, harden ingress/gateway policies, and advance mTLS/service identity and traffic shaping.
Advance CI/CD and GitOps: ensure fast, safe deploys with progressive delivery, automatic rollbacks, and pre‑prod environments that mirror prod; enforce guardrails via policy‑as‑code.
Stand up a concise scorecard (SLO coverage, incident frequency/severity, lead time, MTTR, developer platform NPS, cost‑to‑serve) and drive consistent trend improvements.
Partner with Security, Data Platform, and Product to clarify ownership boundaries and enable safe, fast delivery.
Improve cost‑to‑serve via quotas, right‑sizing, and showback in partnership with Finance.
Transform workflows by putting AI at the center, building smarter systems and ways of working from the ground up; pilot AI‑assisted runbooks and incident summarization to shorten resolution time.