Adobe

Adobe

Job Posting Title AI/ DevOps Engineer

San Jose

Sponsorship not specified$174k-$331kDetected 4 days ago
ExpressDistributed SystemsPostgreSQLAWSGCPAzureKubernetesPrometheusGrafanaDevOpsSite Reliability EngineeringPlatform EngineeringMachine LearningData EngineeringMLOpsIncident ResponseLeadershipCollaborationProblem Solving

About the role

  • As a Senior SRE on this team, you'll be central to keeping RTCDP reliable, scalable, and operationally excellent at global scale.
  • This is a hands-on, high-ownership role at the intersection of production operations (Day 2 ownership) and core datastore engineering, with a growing surface area in operationalizing AI/ML services and workflows.
  • Adobe is proud to be an Equal Employment Opportunity employer.

Responsibilities

  • Own production reliability
  • Own day-to-day reliability for RTCDP services - availability, performance, and durability against SLOs
  • Lead post-incident reviews and follow-up work
  • Partner with product and platform teams on production-ready launches and regional expansions
  • Drive reliability, scaling, and operational excellence across these platforms
  • Own upgrades, capacity management, backup/restore, and DR testing
  • Build automation for provisioning, scaling, and lifecycle management
  • Drive automation and observability
  • Build automation-first solutions that reduce toil and improve system safety
  • Support the rollout of SLO-driven reliability practices

Requirements

  • 6-10 years in SRE, infrastructure, or platform engineering
  • Proven track record operating large-scale distributed systems in production
  • 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)
  • See how we think about AI in the hiring experience.

Skills

  • Mentor junior engineers and raise team practices
  • Partner closely with engineering, infrastructure, and security
  • Deep involvement in production systems at global scale
  • Hands-on ownership spanning operations and datastore platforms
  • If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

Compensation

  • Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets.
  • The U.S. pay range for this position is $173,500 -- $331,050 annually.
  • Pay within this range varies by work location and may also depend on job-related knowledge, skills, and experience.
  • Your recruiter can share more about the specific salary range for the job location during the hiring process.
  • In California, the pay range for this position is $228,600 - $331,050
  • At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans.

Benefits

  • Strengthen operational readiness, playbooks, and on-call health
  • In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award.

Company info

  • A complementary part of the role, not the primary focus.

This listing is sourced directly from Adobe's careers page and normalized into a canonical job model.