Senior AI/ DevOps Engineer

Adobe; San Jose (CA); On-site; USD 208,000 - 302,000; Full time

Job summary

Adobe seeks a Senior SRE for RTCDP Datastores & AI/ML Ops in California. You will own production reliability, manage on-call incidents, and drive post-incident reviews for large-scale datastores and services across Aerospike, FoundationDB, Postgres, and CosmosDB/DynamoDB.

You’ll partner with product and platform teams to launch reliable deployments, optimize SLOs, and advance MLOps practices while improving monitoring and automation across regions.

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.

Responsibilities

• Own production reliability and day-to-day reliability for RTCDP services against SLOs.
• Participate in on-call rotations and incident response, driving mitigation and recovery.
• Lead post-incident reviews and follow-up work.
• Strengthen operational readiness, playbooks, and on-call health.
• Operate and evolve core datastores (Aerospike, FoundationDB, Postgres, CosmosDB/DynamoDB).
• Drive reliability, scaling, and observability across platforms.

Skills

SRE experience

Distributed systems

Datastores

Kubernetes

Cloud (AWS/Azure/GCP)

Observability tools

Incident response

Interest in AI/ML systems

Tools

Prometheus

Grafana

OpenTelemetry

Job description

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

About Adobe

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. Adobe aims to make our Careers website and recruiting process accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [e-mail]. 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 applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email [e-mail].

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

Expected Pay Range

Our compensation reflects the cost of labor across severalU.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $159,200 - $301,600 annually. Paywithin this range varies by work locationand 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 $208,300 - $301,600. 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.

State‑Specific Notices

California: Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances.

Colorado: Application Window Notice 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.

Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.