STEM OPT Senior Cloud Platform Engineer Jobs
Senior Cloud Platform Engineer roles in cloud infrastructure, platform reliability, and DevOps qualify for STEM OPT authorization under computer science and engineering CIP codes. Your 24-month STEM OPT extension applies here, giving you 36 total months to work for any E-Verify-enrolled employer who files your I-983 training plan.
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Get Access To All JobsINTRODUCTION
Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We’re looking for an engineer to help develop and scale the AI infrastructure behind these experiences. This role is a strong fit for someone with solid software engineering fundamentals, experience with ML systems, and an interest in building reliable, large-scale platforms that support modern AI products.
You’ll work with experienced engineers to build production systems that power Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. Your work will contribute to important layers of the platform, including model integration, inference services, data pipelines, storage and caching systems, analytics, and evaluation tooling.
ROLE AND RESPONSIBILITIES
Contribute to the development of core platform components that support AI experiences in Adobe Express.
Build and improve backend services, microservices, and workflows that connect models, APIs, data systems, and product features.
Help develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
Support runtime systems for inference and orchestration with attention to reliability, observability, and performance.
Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost.
Collaborate with engineers, researchers, and product teams to deliver production-ready AI capabilities.
Participate in debugging, testing, monitoring, and operational improvements for AI platform services.
BASIC QUALIFICATIONS
3+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
Good understanding of distributed systems fundamentals, backend services, and scalable system design.
Experience building or supporting APIs, data pipelines, or event-driven systems.
Proficiency in Python, Typescript, C++, or Go.
Familiarity with cloud environments, service deployment, and production engineering practices.
Exposure to ML systems or LLM-based applications, including model inference, orchestration, or evaluation, is a plus.
Strong problem-solving skills and the ability to work well in a collaborative team environment.
Clear communication skills and willingness to learn from cross-functional partners.
PREFERRED QUALIFICATIONS
Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field.
Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks.
Exposure to generative AI systems such as LLMs, multimodal models, or diffusion models.
Familiarity with MLOps concepts such as experiment tracking, model deployment, or evaluation workflows.
Interest in agentic AI concepts such as tool use, task planning, or memory systems.
WHY ADOBE
At Adobe, we’re building the future of creativity through intelligent systems. The AI Foundations team combines platform engineering, applied AI, and product impact to bring powerful creative tools to millions of users. This is an opportunity to grow your technical depth while helping build the systems behind the next generation of AI-powered creative experiences.
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 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.
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 $151,800 -- $265,350 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 $183,300 - $265,350.
In Washington, the pay range for this position is $165,600 - $239,725.
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 Jun 04 2026 12:00 AM
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.
INTRODUCTION
Adobe Express helps people and teams create standout content with ease. The AI Foundations team builds the core AI platform that powers creativity across design, imaging, motion, and personalization. We’re looking for an engineer to help develop and scale the AI infrastructure behind these experiences. This role is a strong fit for someone with solid software engineering fundamentals, experience with ML systems, and an interest in building reliable, large-scale platforms that support modern AI products.
You’ll work with experienced engineers to build production systems that power Agentic AI, Create AI, Imaging AI, Motion AI, and Personalization AI. Your work will contribute to important layers of the platform, including model integration, inference services, data pipelines, storage and caching systems, analytics, and evaluation tooling.
ROLE AND RESPONSIBILITIES
Contribute to the development of core platform components that support AI experiences in Adobe Express.
Build and improve backend services, microservices, and workflows that connect models, APIs, data systems, and product features.
Help develop data and inference pipelines for training, evaluation, fine-tuning, and deployment of ML models.
Support runtime systems for inference and orchestration with attention to reliability, observability, and performance.
Work on storage, caching, and data-access patterns to improve efficiency, scalability, and cost.
Collaborate with engineers, researchers, and product teams to deliver production-ready AI capabilities.
Participate in debugging, testing, monitoring, and operational improvements for AI platform services.
BASIC QUALIFICATIONS
3+ years of experience in software engineering, backend infrastructure, data systems, ML infrastructure, or related areas.
Good understanding of distributed systems fundamentals, backend services, and scalable system design.
Experience building or supporting APIs, data pipelines, or event-driven systems.
Proficiency in Python, Typescript, C++, or Go.
Familiarity with cloud environments, service deployment, and production engineering practices.
Exposure to ML systems or LLM-based applications, including model inference, orchestration, or evaluation, is a plus.
Strong problem-solving skills and the ability to work well in a collaborative team environment.
Clear communication skills and willingness to learn from cross-functional partners.
PREFERRED QUALIFICATIONS
Bachelor’s degree or equivalent experience in Computer Science, Machine Learning, Data Science, or a related technical field.
Experience with technologies such as Kafka, Spark, Flink, or similar distributed data frameworks.
Exposure to generative AI systems such as LLMs, multimodal models, or diffusion models.
Familiarity with MLOps concepts such as experiment tracking, model deployment, or evaluation workflows.
Interest in agentic AI concepts such as tool use, task planning, or memory systems.
WHY ADOBE
At Adobe, we’re building the future of creativity through intelligent systems. The AI Foundations team combines platform engineering, applied AI, and product impact to bring powerful creative tools to millions of users. This is an opportunity to grow your technical depth while helping build the systems behind the next generation of AI-powered creative experiences.
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 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.
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 $151,800 -- $265,350 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 $183,300 - $265,350.
In Washington, the pay range for this position is $165,600 - $239,725.
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 Jun 04 2026 12:00 AM
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.
See all STEM OPT Senior Cloud Platform Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new STEM OPT Senior Cloud Platform Engineer Jobs.
Get Access To All JobsTips for Finding STEM OPT Authorization as a Senior Cloud Platform Engineer
Verify your CIP code before applying
Check that your degree's CIP code appears on the STEM Designated Degree Program List USCIS uses. Computer science (11.07xx), computer engineering (14.09xx), and electrical engineering (14.10xx) codes all support Senior Cloud Platform Engineer roles. A mismatch blocks your extension before you start.
Confirm E-Verify enrollment before accepting offers
Ask hiring managers directly whether the company is enrolled in E-Verify before your final-round interview. Employers not enrolled cannot legally employ you on a STEM OPT extension, regardless of how willing they are to support the I-983 training plan.
Align your I-983 to cloud platform competencies
Your training plan must map specific learning objectives to your role's duties. For cloud platform engineering, tie goals to measurable outcomes like infrastructure-as-code deployments, multi-cloud architecture decisions, or SRE practice benchmarks your employer can evaluate at your 12-month review.
Target employers with active H-1B filing history
Companies that have filed H-1B visa petitions for platform engineering roles have already navigated immigration processes for similar positions. Use Migrate Mate to filter for employers with verified DOL Labor Condition Application history in cloud and infrastructure job categories.
Request prevailing wage documentation before negotiating
Use the OFLC Wage Search to look up the prevailing wage for your target SOC code and metro area before your offer conversation. STEM OPT doesn't legally require prevailing wage compliance, but knowing the DOL benchmark strengthens your negotiating position and signals H-1B readiness to employers.
Understand cap-gap coverage if your OPT expires during H-1B review
If your employer files an H-1B petition before your STEM OPT EAD expires and you're selected in the lottery, cap-gap automatically extends your work authorization through September 30. Your DSO updates your I-20 to reflect this; you don't need a new EAD to keep working.
Frequently Asked Questions
Does a Senior Cloud Platform Engineer role qualify for STEM OPT?
Yes, as long as your degree falls under a STEM-designated CIP code. Computer science, computer engineering, electrical engineering, and information technology degrees all commonly support cloud platform roles. The O*NET occupation profile for cloud and platform engineers aligns with the technical degree requirements USCIS uses to evaluate STEM OPT eligibility. Confirm your specific CIP code appears on the STEM Designated Degree Program List before filing your extension.
What does the I-983 training plan need to include for this role?
Your I-983 must connect your day-to-day engineering responsibilities to specific learning goals tied to your STEM degree. For a Senior Cloud Platform Engineer, that means documenting objectives around infrastructure automation, platform scalability, cloud architecture design, or reliability engineering. Your employer evaluates your progress at the 12-month midpoint and again at completion. Vague job descriptions don't satisfy the requirement. Both you and a company official with hiring authority must sign the plan.
How do I confirm my employer is enrolled in E-Verify?
Ask the recruiter or HR contact directly, and request the company's E-Verify employer ID as confirmation. E-Verify enrollment is a legal prerequisite for any employer hiring a STEM OPT student. If the company can't provide this during the offer stage, that's a signal to resolve before you accept. Your DSO will also check employer E-Verify status when endorsing your I-983.
Where can I find Senior Cloud Platform Engineer jobs from E-Verify employers?
Migrate Mate filters job listings specifically for employers with verified E-Verify enrollment and DOL Labor Condition Application filing history in technical roles. That removes the manual step of vetting each company yourself. You can search by role type, location, and employer profile to identify cloud platform positions at companies already set up to hire STEM OPT students.
What happens to my STEM OPT authorization if my H-1B is filed but not yet approved?
If your employer files a cap-subject H-1B petition before your STEM OPT EAD expires and USCIS selects you in the lottery, cap-gap protection extends your work authorization automatically through September 30 of that year. You can continue working at the same employer in the same role without a new EAD. Your DSO updates your I-20 to reflect cap-gap status, and USCIS confirms it in the receipt notice.