# Staff Platform Engineer, AI Enablement

**Company:** [Zocdoc](https://hotfix.jobs/companies/zocdoc)
**Location:** Remote
**Role:** DevOps / SRE
**Salary:** $210k – $270k/yr
**Experience:** 7+ years
**Skills:** AWS, CI/CD, Platform Engineering, Developer Experience, Distributed Systems, Infrastructure As Code, Ai-Assisted Development, DevOps, Kubernetes, Terraform
**Posted:** 2026-06-15

> Staff Platform Engineer building and evolving Zocdoc's internal developer platform, CI/CD pipelines, and AI-assisted tooling to improve developer productivity, safety, and experience across engineering teams.

## Job Description

## Responsibilities
- Design and build platform services and solutions that are secure, scalable, and intentionally easy to use—including CI/CD pipelines, developer tooling, and shared infrastructure patterns
- Contribute to the technical direction of Zocdoc's internal developer platform, including paved roads, tooling, and shared workflows
- Collaborate across teams to understand real developer pain points, validate platform bets, and drive adoption of platform capabilities
- Own and deliver high-impact platform investments end to end—from problem framing through implementation and rollout
- Improve measurable developer outcomes such as build times, deployment safety, feedback loops, and operational simplicity
- Champion platform-as-product thinking by treating internal engineers as users and continuously refining the developer experience based on their feedback
- Advance platform capabilities in AI-assisted development, helping shape how engineers use AI in their daily workflows with the right guardrails for safety, quality, and testability
- Mentor engineers and technologies across the business and raise the bar for technical design and code quality
- Ensure platform patterns align with security, compliance, and reliability expectations without becoming a bottleneck

## Requirements
- 7+ years of experience building or evolving internal developer platforms, productivity tooling, or CI/CD systems used by multiple teams
- Experience designing and operating distributed systems in AWS or similar cloud environments
- Strong judgment around platform abstractions and APIs; knowing when to standardize and when to stay flexible
- Ability to take ambiguous problems, break them into deliverable pieces, and drive them to measurable outcomes
- Ability to communicate technical trade-offs clearly and build consensus with peers and stakeholders
- Treat adoption as a first-class engineering problem
- Motivation to enable other engineers to build reliable, scalable, and secure systems with confidence
- Value learning, curiosity, and operational excellence

## Nice-to-Haves
- Experience with agentic AI, self-service capabilities, and composable platform patterns
- Experience improving developer experience across frontend, backend, and mobile surfaces

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