Senior SRE: AI/ML Ops & Datastore Reliability

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

Job summary

Adobe seeks a Senior SRE for RTCDP Datastores & AI/ML Ops in California. You will own production reliability, manage on-call incidents, and drive post-incident reviews for large-scale datastores and services across Aerospike, FoundationDB, Postgres, and CosmosDB/DynamoDB.

You’ll partner with product and platform teams to launch reliable deployments, optimize SLOs, and advance MLOps practices while improving monitoring and automation across regions.

Qualifications

• 6–10 years in SRE, infrastructure, or platform engineering.
• Proven track record operating large-scale distributed systems in production.
• Strong foundation in datastores, reliability engineering, and automation.
• Hands-on experience with Kubernetes and containerized environments, a major cloud (AWS, Azure, or GCP), and modern observability tooling (Prometheus, Grafana, OpenTelemetry, or equivalents).
• Real experience in incident response and driving operational improvements out of it.
• Working knowledge of — or genuine interest in — AI/ML systems or MLOps (expertise not required).
• Comfortable with scale, ambiguity, and high ownership.

Responsibilities

• Own production reliability and day-to-day reliability for RTCDP services against SLOs.
• Participate in on-call rotations and incident response, driving mitigation and recovery.
• Lead post-incident reviews and follow-up work.
• Strengthen operational readiness, playbooks, and on-call health.
• Operate and evolve core datastores (Aerospike, FoundationDB, Postgres, CosmosDB/DynamoDB).
• Drive reliability, scaling, and observability across platforms.

Skills

SRE experience

Distributed systems

Datastores

Kubernetes

Cloud (AWS/Azure/GCP)

Observability tools

Incident response

Interest in AI/ML systems

Tools

Prometheus

Grafana

OpenTelemetry

Job description

Adobe seeks a Senior SRE for RTCDP Datastores & AI/ML Ops in California. You will own production reliability, manage on-call incidents, and drive post-incident reviews for large-scale datastores and services across Aerospike, FoundationDB, Postgres, and CosmosDB/DynamoDB.

You’ll partner with product and platform teams to launch reliable deployments, optimize SLOs, and advance MLOps practices while improving monitoring and automation across regions.