Job Posting Title AI DevOps Engineer

Senior SRE RTCDP Datastores & AI/ML Ops
Adobes Real-Time Customer Data Platform (RTCDP) powers personalized experiences for some of the worlds largest brands. As a Senior SRE on this team youll 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.

What youll do
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 SEV3SEV1 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
Youll work across RTCDPs 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

Why this role is interesting

• Deep involvement in production systems at global scale

• Hands-on ownership spanning operations and datastore platforms

• Exposure to next-generation work: AI/ML systems and AI-assisted engineering

• Direct impact on customer reliability platform scalability and cost

• A clear path toward architect-level influence over time

What were looking for

• 610 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

About Adobe

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity productivity and personalized customer experiences. Adobes industry-leading offerings including Adobe Acrobat Studio Adobe Express Adobe Firefly Creative Cloud Adobe Experience Platform Adobe Experience Manager and GenStudio enable people and businesses to turn ideas into impact powered by AI and driven by human ingenuity.

Our 30000 employees worldwide are creating the future and raising the bar as we drive the next decade of growth. Were on a mission to hire the very best and believe in creating a company culture where all employees are empowered to make an impact. At Adobe we believe that great ideas can come from anywhere in the organization. The next big idea could be yours.

Lets Adobe together

At Adobe we believe in creating a company culture where all employees are empowered to make an impact. Learn more about Adobe life including our values and culture focus on people purpose and community Adobe for All comprehensive benefits programs the stories we tell the customers we serve and how you can help us advance our mission of empowering everyone to create.

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Expected Pay Range:

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. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP).

In addition certain roles may be eligible for long-term incentives in the form of a new hire equity award.

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California:

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Colorado:

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Massachusetts:

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