Staff Software Engineer - AI/ML Systems and Reliability

Adobe is looking for a Staff Software Engineer - AI/ML Systems, MLOps & Reliability to help build and scale the platform powering Adobe Experience Platform's Personalization ML solutions and Generative AI capabilities.


This role sits at the intersection of software engineering, MLOps, infrastructure, and reliability engineering . You will help design and operate the foundational platform that enables scalable model training, reliable inference, automated ML workflows, and production-grade AI systems for enterprise-scale personalization use cases.


Partnering closely with engineering, product, and data science teams, you will build systems that support intelligent audience creation, journey optimization, and personalization at scale. You will join a collaborative and highly technical team of engineers and scientists with deep expertise in distributed systems and machine learning.


The ideal candidate enjoys both building platform capabilities for ML systems and operating highly reliable cloud-native infrastructure . This is a hands-on role where you will contribute across MLOps platform development, distributed systems engineering, DevOps automation, and production reliability.


What You'll Do


AI/ML Platform & MLOps

• Architect and build infrastructure for AI/ML systems, including Personalization and Generative AI platforms.

• Design and build MLOps capabilities such as model deployment pipelines, feature stores, model registries, and inference infrastructure.

• Partner with ML engineers and data scientists to productionize ML models and workflows.

• Build scalable platform services and APIs supporting multiple teams and products.

Reliability Engineering & DevOps

• Improve reliability, scalability, observability, and operational efficiency of distributed AI systems.

• Build monitoring, alerting, logging, and tracing solutions for production services.

• Develop CI/CD pipelines, deployment automation, and infrastructure-as-code tooling.

• Troubleshoot production issues and drive operational excellence for cloud-native services.

• Design highly available systems that scale horizontally.

Software Engineering & Leadership

• Lead technical design and architecture discussions across teams.

• Participate in design, development, testing, code reviews, deployment, and production support.

• Evaluate and adopt emerging technologies in AI and ML infrastructure and distributed systems.

What You Need to Succeed


Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience).

• 8+ years of software engineering experience building distributed systems.

• Curiosity and Bias to action.

• Strong programming skills in Python or Java.

• Experience with microservices, REST APIs, and cloud-native architectures.

• Experience with AWS or Azure, Kubernetes, and Docker.

• Experience with CI/CD, infrastructure automation, and production operations.

• Strong understanding of reliability, scalability, and observability for distributed systems.

• Strong troubleshooting, communication, and collaboration skills.

Preferred Qualifications

• Experience with MLOps platforms or ML infrastructure.

• Hands-on experience with Generative AI applications.

• Familiarity with Ray, Kafka, Spark, Airflow, or similar distributed systems technologies.

• Experience with relational and NoSQL databases such as MySQL, PostgreSQL, Redis, Elasticsearch, or Snowflake

• Experience supporting high-throughput, low-latency production systems.

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 View email address on click.appcast.io or call View phone number on click.appcast.io.


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.

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 $159,200 -- $301,600 annually. Pay within this range varies by work location and 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.