Senior Platform Engineer — AI & Deployment Lead

Adobe; San Francisco (CA); On-site; USD 208,000 - 302,000; Full time

Job summary

Adobe is seeking a Senior Software Development Engineer in San Francisco to lead deployment platforms, AI-enabled tooling, and scalable inference services. You will own end-to-end service delivery, security, and reliability across a mixed stack including frontend, backend and data services.

You will contribute to AI-enabled workflows, MCP tooling, and agent runtimes while mentoring teams and guiding architectural decisions in a fast-paced, innovative environment.

Qualifications

• Deep full-stack fundamentals and production readiness across latency, scale and observability.
• Ships and owns services end-to-end across frontend, backend and data layers.
• Strong CI/CD ownership with containerization and IaC on AWS.

Responsibilities

• Own and evolve deployment platform for CI/CD, PR environments and releases.
• Build AI-accelerated development foundations and internal toolkits.
• Ship inference apps at scale from spec to production and standardize ML footprint.
• Modernize services by improving build and deployment processes.
• Improve security posture for agentic tools and autonomous agents.
• Extend Model Context Protocol (MCP) surface for font discovery.
• Contribute to search, browse, discovery and customer-facing experiences.
• Own on-call, incidents and reliability of pipelines and services.
• Write development docs, conduct technical reviews, and mentor engineers.

Skills

Full-stack development

JavaScript/TypeScript

React

Ruby on Rails

Python

Go

Terraform

Kubernetes

AWS

CI/CD

Tools

Jenkins

Docker

Kubernetes

Terraform

AWS tooling

Job description

Adobe is seeking a Senior Software Development Engineer in San Francisco to lead deployment platforms, AI-enabled tooling, and scalable inference services. You will own end-to-end service delivery, security, and reliability across a mixed stack including frontend, backend and data services.

You will contribute to AI-enabled workflows, MCP tooling, and agent runtimes while mentoring teams and guiding architectural decisions in a fast-paced, innovative environment.