The opportunity
Amplitude's Cloud Platform team builds the systems that every Amplitude engineer relies on every day to ship code — and we're rebuilding them for the AI era. As a Senior Platform Engineer, you'll own medium-to-high-complexity platform projects end-to-end and help shape a…
What you'll do
Lead high-impact platform projects: design and ship capabilities that move the needle on developer experience, reliability, or security, and set the bar for quality, testing, and safe deployment practices.
Build the AI-augmented platform. Design tooling and workflows that help: engineers get more out of AI-assisted development — think infra primitives that are easy to reason about, automated review, and policy-as-code that keeps the guardrails strong as AI shifts how code gets written.
Own Infrastructure-as-Code for Kubernetes, AWS, and GCP using Terraform,: Helm, Kustomize, and emerging tooling — and make it consumable enough that an LLM can safely PR against it.
Evolve our CI/CD backbone (Argo CD / Workflows / Rollouts, GitHub Actions) to: make deploys faster, safer, and easier to reason about.
Instrument and operate. Drive observability with Datadog and Amplitude, own: dashboards and SLOs, and use the data to push reliability forward.
Participate in on-call, lead incident response when needed, and turn: postmortems into durable platform improvements.
What they're looking for
- + years of experience in software engineering, DevOps, or Site Reliability: Engineering, with serious hands-on time in cloud infrastructure.
- Education: B.S. in Computer Science or an equivalent technical field.
- Production experience operating Kubernetes (EKS, GKE, AKS, or on-prem) and: containerized applications at meaningful scale.
- Proficiency in at least one programming language (Golang or Python preferred) and IaC tooling (Terraform).
- Working knowledge of AWS core services (EC2, EKS, IAM, VPC, ALB, S3) and networking/security fundamentals.
- Familiarity with GitOps workflows and the CNCF ecosystem (Argo, Helm, Backstage, Envoy, and friends).
- A track record of delivering projects that measurably improved reliability,: performance, or developer productivity.
- Curiosity and conviction about AI as a force multiplier in infrastructure: work — whether that's using AI-assisted development tools to ship faster or building platforms and tooling that help your teammates get more leverage from AI in their day-to-day work.
