Job Posting Title AI/ DevOps Engineer

Adobe • San Jose, CA

1d

About The Position

Senior SRE — RTCDP Datastores & AI/ML Ops Adobe’s Real-Time Customer Data Platform (RTCDP) powers personalized experiences for some of the world’s largest brands. 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.

Requirements

• 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
• Strong problem-solving instincts and a bias for action

Responsibilities

• Own production reliability: Own day-to-day reliability for RTCDP services — availability, performance, and durability against SLOs
• Participate in on-call rotations and incident response, driving mitigation and recovery through SEV3–SEV1 events
• Lead post-incident reviews and follow-up work
• Strengthen operational readiness, playbooks, and on-call health
• Partner with product and platform teams on production-ready launches and regional expansions
• Operate and evolve core datastores: You’ll work across RTCDP’s distributed datastore ecosystem: Aerospike, FoundationDB, Postgres, and CosmosDB/DynamoDB. 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
• Identify and ship cost optimizations (rightsizing, storage/compute efficiency)
• Drive automation and observability: Build automation-first solutions that reduce toil and improve system safety
• Improve monitoring, alerting, and observability — anchored to real customer impact
• Establish standardized operational patterns across services and regions
• Support the rollout of SLO-driven reliability practices
• Contribute to AI/ML Ops (emerging area): A complementary part of the role, not the primary focus. Support infrastructure and operational needs for AI/ML-powered services in RTCDP
• Shape operational practices for model serving and data pipelines — reliability, scaling, monitoring
• Help land core MLOps patterns where relevant: model deployment workflows, inference observability (latency, errors), data quality and pipeline reliability signals
• Partner with ML and data teams to get AI-driven features production-ready
• Leverage AI-assisted tools (e.g., Copilot, Claude Code, Codex, internal tooling) to accelerate debugging, incident response, and operational workflows
• Technical leadership and collaboration: Operate as a strong IC and technical lead on cross-cutting projects
• Mentor junior engineers and raise team practices
• Partner closely with engineering, infrastructure, and security
• Live the core SRE/DevOps principles: ownership, automation, error budgets, continuous improvement

Benefits

• comprehensive benefits programs

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed