Senior Platform Engineer (Cloud Platform)

About the role

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 platform where AI agents are first-class users alongside humans.

Responsibilities

• 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.
• Reduce toil and tech debt with pragmatic remediation plans that account for future requirements and operational cost.
• Translate product needs into platform features by partnering closely with product engineering teams.
• Mentor and multiply. Coach junior and mid-level engineers, support their growth, and onboard new teammates — including helping the team get more leverage out of AI-assisted development.
• Shape the roadmap by spotting high-leverage opportunities and scoping them to maximize impact.

Requirements

• 5+ 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).
• Familiarity with 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.
• Strong communicator — you can break down complex topics for varied audiences and default to collaborative problem solving.
• Comfort navigating ambiguity by validating assumptions early and using data to de-risk technical decisions.
• A pragmatic, business-aligned engineering mindset and a habit of continuous learning.

Qualifications

• Experience with AI and machine learning concepts and tools.
• Experience with AI-assisted development tools and platforms.
• Experience with AI-driven platform design and architecture.
• Experience with AI-driven observability and monitoring.
• Experience with AI-driven incident response and post-mortem analysis.
• Experience with AI-driven platform improvement and optimization.

Skills

• Cloud infrastructure expertise (AWS, GCP, Azure).
• DevOps and CI/CD practices.
• Containerization and orchestration (Kubernetes, Docker).
• Infrastructure as Code (Terraform, Ansible, etc.).
• Automated testing and continuous integration.
• Data analysis and visualization.
• Observability and monitoring.
• Incident response and post-mortem analysis.
• AI and machine learning.
• Communication and collaboration.
• Problem-solving and decision-making.

Benefits

• Equity
• Benefits and other forms of compensation
• Colorado range: $165,000 - $247,000 total target cash (inclusive of bonus or commission)
• New York City salary range: $183,000 - $276,000 total target cash (inclusive of bonus or commission)
• California salary range: $165,000 - $247,000 total target cash (inclusive of bonus or commission)
• Washington salary range: $165,000 - $247,000 total target cash (inclusive of bonus or commission)
• Unlimited PTO, 10 to 13 holidays annually (will vary)
• Medical, dental, and vision PPO and CDHP plans
• Company-sponsored 401(k) retirement plan

Pay

• Colorado range: $165,000 - $247,000 total target cash (inclusive of bonus or commission)
• New York City salary range: $183,000 - $276,000 total target cash (inclusive of bonus or commission)
• California salary range: $165,000 - $247,000 total target cash (inclusive of bonus or commission)
• Washington salary range: $165,000 - $247,000 total target cash (inclusive of bonus or commission)

Schedule

• Full-time

Application Instructions

By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the Amplitude Applicant Privacy Notice. Staying Safe - Protect Yourself From Recruitment Fraud We are aware of individuals and entities fraudulently representing themselves as Amplitude recruiters and/or hiring managers. Amplitude will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Amplitude recruiting team will come from an @amplitude.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.