Platform Engineer: Build Scalable, Observed AI Platforms

Replay; New York (NY); On-site; USD 180,000 - 260,000; Full time

Job summary

Replay is building a shared platform to empower product, data, and AI teams to ship reliable, secure, and cost-aware systems without heavy manual work. The role focuses on establishing a robust platform baseline, delivering reusable infrastructure tooling, and creating self-service patterns for diverse workloads.

You will collaborate with teams across engineering and security, drive end-to-end reliability, and help reduce toil while improving visibility and governance of workloads in a

Qualifications

• Experience operating production cloud infrastructure and delivery systems.
• Strong knowledge of reliability and observability best practices.
• Ability to own end-to-end platform components.

Responsibilities

• Establish Replay's platform baseline: workloads, reliability, ownership, toil, recovery, cost, and controls.
• Build reusable infrastructure-as-code modules, runtime templates, deployment workflows, environment contracts, and tooling.
• Create supported paths for customer-facing services, asynchronous and batch jobs, data pipelines, and model-backed workloads.
• Improve deploy safety, workload visibility, backup and recovery, incident response, replay, rollback, and durable remediation.
• Work with engineering teams to define service and pipeline objectives, ownership, escalation, and recovery paths.
• Build self-service for common infrastructure, environment, access, deploy, debugging, and recovery work without becoming a central approval queue.
• Make cloud and vendor cost understandable by service and workload and improve efficiency within explicit reliability and security bounds.
• Partner with Security on cloud identity, secrets, isolation, audit logging, vulnerability response, incident readiness, and automated control evidence.
• Support employees and contractors through bounded access, safe environments, release controls, documentation, and timely removal of authority.
• Use AI tools deeply for platform engineering and operations while verifying generated code, plans, queries, state changes, and incident conclusions.

Skills

Cloud infrastructure

Reliability engineering

Platform engineering

SRE practices

Ownership

Tools

AWS

Terraform

Docker

Kubernetes

Job description

Replay is building a shared platform to empower product, data, and AI teams to ship reliable, secure, and cost-aware systems without heavy manual work. The role focuses on establishing a robust platform baseline, delivering reusable infrastructure tooling, and creating self-service patterns for diverse workloads.

You will collaborate with teams across engineering and security, drive end-to-end reliability, and help reduce toil while improving visibility and governance of workloads in a