The opportunity
Amplitude is the leading AI analytics platform, helping over 4,700 customers—including Atlassian, Burger King, NBCUniversal, and Square—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever.
What you'll do
Set technical direction: shape platform and domain-level technical strategy that improves developer experience, reliability, security, and cost, and lead the high-complexity, cross-cutting initiatives that deliver it with measurable impact for the organization.
Drive clarity through ambiguity. Take on the most loosely-defined problems,: validate the critical assumptions early, and create alignment with stakeholders across teams so others can move quickly and confidently — driving cross-team decisions to a timely close and escalating when needed.
Build the AI-augmented platform. Design org-wide tooling, guardrails, and: policy-as-code that help every engineer get more out of AI-assisted development — infra primitives an LLM can safely reason about and PR against, automated review, and standards that hold as AI changes how code gets written.
Own Infrastructure-as-Code standards for Kubernetes, AWS, and GCP using: Terraform, Helm, Kustomize, and emerging tooling — setting the patterns other teams adopt and making the platform consumable enough that humans and agents can safely extend it.
Evolve our CI/CD backbone (Argo CD / Workflows / Rollouts, GitHub Actions): into shared, well-reasoned standards that make deploys faster, safer, and easier to reason about across the engineering org.
Instrument and operate. Drive observability with Datadog and Amplitude, set: and raise SLOs for the team, own the dashboards, and drive improvements to the shared services and dependencies that move them.
What they're looking for
- + years of experience in software engineering, DevOps, or Site Reliability: Engineering, with deep hands-on time in cloud infrastructure.
- Bachelors Degree in Computer Engineering or related field
- A track record of leading high-complexity, cross-team infrastructure: initiatives that delivered measurable improvements in reliability, developer productivity, performance, or cost.
- Deep production experience operating Kubernetes (EKS, GKE, AKS, or on-prem): and containerized applications at meaningful scale.
- Strong programming ability in at least one language (Golang or Python: preferred) and fluency with IaC tooling (Terraform).
- Solid command of AWS core services (EC2, EKS, IAM, VPC, ALB, S3): GCP and/or Azure experience a plus — and networking/security fundamentals.
- Deep familiarity with GitOps workflows and the CNCF ecosystem (Argo, Helm,: Backstage, Envoy, and friends), and a point of view on where they're heading.
- A history of setting technical standards and patterns that other teams: adopted — influencing outcomes well beyond your own keyboard, often without direct authority.
