Job Posting Title AI/ DevOps Engineer
About the role
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.
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
- 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)
- 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)
- 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
- 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
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
- Strong problem-solving instincts and a bias for action
What We’re Looking For
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.
In California, the pay range for this position is $228,600 - $331,050
Benefits
At Adobe, we believe that great ideas can come from anywhere in the organization. The next big idea could be yours. Let’s Adobe together
Pay
Expected Pay Range: 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.
In California, the pay range for this position is $228,600 - $331,050
Schedule
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Pay
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Schedule
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