Job Posting Title AI/ DevOps Engineer

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.

What you’ll 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 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

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 we’re looking for

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

Adobe empowers everyone to create through innovative platforms and tools that unleash creativity, productivity and personalized customer experiences.

Adobe’s 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 30,000+ employees worldwide are creating the future and raising the bar as we drive the next decade of growth.

We’re 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.

Let’s 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.

Adobe is proud to be an Equal Employment Opportunity employer.

We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other protected characteristic.

Learn more.

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If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email accommodations@adobe.com or call +1 408-536-3015.

AI Use Guidelines for Interviews: Our interviews are designed to reflect your own skills and thinking.

The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation.

If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process.

At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same.

As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews.

See how we think about AI in the hiring experience.

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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If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations.

If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs.

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