Senior SRE - Cloud-Native ML Infra & AI Pipelines

Adobe; New York (NY); On-site; USD 178,000 - 258,000; Full time

Job summary

Adobe is seeking a Senior Site Reliability Engineer to design, build, and operate large-scale, distributed, fault-tolerant systems across cloud platforms. You will own patch workflows, security guardrails, and ML inference infrastructure, partnering with software and ML teams to bake reliability in from the start.

You’ll work in a remote-capable environment, with a focus on scalable, secure operations and incident response.

Qualifications

• BSc in Computer Science or equivalent experience in a practical setting.
• Proficiency in Python; familiarity with PHP, Node.js, or Ruby is a plus.
• Experience deploying/operating ML inference pipelines in production (SageMaker, OpenAI, Bedrock, etc.).
• Experience operating cloud-native compute over large scale infrastructures (AWS EC2 Auto Scaling Groups; Kubernetes).
• Experience with vulnerability/patch management and AMI/golden-image lifecycle automation.

Responsibilities

• Design, build, and operate large-scale, distributed, fault-tolerant systems and the automation tooling behind them.
• Own patch, vulnerability, and golden-image lifecycle management across the fleet; triage and automate remediation.
• Contribute to multi-quarter initiatives like compute rationalization and cloud re-platforming.
• Build and operate ML inference infrastructure including model serving and GPU workloads.
• Set infrastructure standards and security guardrails for agentic AI and tooling.
• Partner with software, ML, and platform teams to bake reliability in from the start.
• Share on-call responsibilities and resolve issues in web services, databases, and pipelines.

Skills

Python

SRE

Distributed systems

On-call rotation

CI/CD

Security guardrails

Linux

Education

BSc in Computer Science or equivalent

Tools

AWS

Azure

GCP

Kubernetes

Terraform

Terragrunt

Atlantis

Chef

Ansible

SSM

Docker

Job description

Adobe is seeking a Senior Site Reliability Engineer to design, build, and operate large-scale, distributed, fault-tolerant systems across cloud platforms. You will own patch workflows, security guardrails, and ML inference infrastructure, partnering with software and ML teams to bake reliability in from the start.

You’ll work in a remote-capable environment, with a focus on scalable, secure operations and incident response.