Senior Site Reliability Engineer
Core
Design, build, and operate large-scale, distributed, fault-tolerant systems and ML inference infrastructure for Adobe Stock and AI-powered products.
Role type
Senior Site Reliability Engineer (ML & Cloud Infrastructure)
Builds
Cloud-native, containerized systems, ML inference pipelines, and automation tooling for Adobe's creative community and AI services.
Domain
Cloud Infrastructure, Machine Learning Operations, Creative Technology
Deliverable
production ML models | infrastructure
Required skills
Python, Kubernetes, AWS (EC2 Auto Scaling Groups), vulnerability/patch management, distributed systems debugging, IaC (Terraform, Chef, Ansible), CI/CD (Jenkins, Argo CD), ML inference pipeline operations
Preferred skills
GPU-backed compute tuning, agentic AI workflows (LangGraph), relational database operations, Azure/GCP experience
Technologies
AWS, Kubernetes, SageMaker, Bedrock, vLLM, LangGraph, Aurora PostgreSQL, Memcached, Fastly, Datadome, New Relic, Splunk, Grafana, Prometheus, Terraform, Jenkins, Argo CD
Responsibilities
Design and operate large-scale distributed systems; manage patch and golden-image lifecycle; build and operate ML inference infrastructure; set infrastructure standards for agentic AI; partner across software and ML teams; handle on-call rotation for web services, databases, and ML systems.
Seniority
Senior, hands-on IC
