CPT Cloud Engineer Jobs
Cloud Engineer jobs on CPT let you build hands-on experience with AWS, Azure, or GCP infrastructure while your DSO-authorized training runs in parallel with your coursework. CPT must be an integral part of your degree program, so roles involving cloud architecture, DevOps pipelines, or site reliability work align most directly with computer science and engineering curricula.
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Get Access To All JobsCloud Developer Intern
This role has been designed as ‘Onsite’ with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
The Cloud Developer builds from the ground up to meet the needs of mission-critical applications and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems. Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions. Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements. The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.
Responsibilities:
- Collaborate with cross-functional teams to design, develop, and implement cloud solutions tailored to meet business needs.
- Works with domain experts to identify and formalize machine learning problems for wireless and wired network diagnostics, root causing, problem remediation, and optimization
- Design, implement, and validate machine learning algorithms on big data
- Guide and oversee deployment of implemented machine learning solutions and monitor their operation
- Use Agentic AI to solve networking problems
- Identifies, debugs and creates solutions for issues with code and integration into application architecture
- Develops and executes comprehensive test plans for features adhering to performance, scale, usability, and security requirements.
- Deploy cloud-based systems and applications code using continuous integration/deployment pipelines
- Contributes towards innovation and integration of new technologies into projects
- Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or networking
Education & Experience required:
- Working towards a Bachelor's and/or Master's degree with a focus in Computer science, Data Science, Mathematics, Physics, Statistics or other related fields (Master’s degree candidates strongly preferred)
- Familiarity with and understanding of design for software systems
- Proficient Python coder (PySpark, Scikit-learn), experience with software engineering best practices
- A basic understanding of Object-Oriented Programming (OOP)
- Strong background in statistical and machine learning techniques such as anomaly detection, clustering and ranking of events, time series analysis, event stream mining, hypothesis testing, causal inference, and deep learning
- Great at communicating concepts and results; strong data visualization skills
- Relevant industry experience in data science and machine learning
- Experience with online learning algorithms, reinforcement learning, semi-supervised learning, or mixed time-series/event streams
- Familiarity with GenAI and large language models (LLMs). Agentic AI is a plus
Accessibility
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
Administration
Job Level:
N/A
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Hourly Salary USD 55.00 - 63.25 in California
The listed salary range reflects base salary. Variable incentives may also be offered.
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
Cloud Developer Intern
This role has been designed as ‘Onsite’ with an expectation that you will primarily work from an HPE office.
Who We Are:
Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE.
Job Description:
The Cloud Developer builds from the ground up to meet the needs of mission-critical applications and is always looking for innovative approaches to deliver end-to-end technical solutions to solve customer problems. Brings technical thinking to break down complex data and to engineer new ideas and methods for solving, prototyping, designing, and implementing cloud-based solutions. Collaborates with project managers and development partners to ensure effective and efficient delivery, deployment, operation, monitoring, and support of Cloud engagements. The Cloud Developer provides business value expertise to drive the development of innovative service offerings that enrich HPE's Cloud Services portfolio across multiple systems, platforms, and applications.
Responsibilities:
- Collaborate with cross-functional teams to design, develop, and implement cloud solutions tailored to meet business needs.
- Works with domain experts to identify and formalize machine learning problems for wireless and wired network diagnostics, root causing, problem remediation, and optimization
- Design, implement, and validate machine learning algorithms on big data
- Guide and oversee deployment of implemented machine learning solutions and monitor their operation
- Use Agentic AI to solve networking problems
- Identifies, debugs and creates solutions for issues with code and integration into application architecture
- Develops and executes comprehensive test plans for features adhering to performance, scale, usability, and security requirements.
- Deploy cloud-based systems and applications code using continuous integration/deployment pipelines
- Contributes towards innovation and integration of new technologies into projects
- Analyzes science, engineering, business, and other data processing problems to develop and implement solutions to complex application problems, system administration issues, or networking
Education & Experience required:
- Working towards a Bachelor's and/or Master's degree with a focus in Computer science, Data Science, Mathematics, Physics, Statistics or other related fields (Master’s degree candidates strongly preferred)
- Familiarity with and understanding of design for software systems
- Proficient Python coder (PySpark, Scikit-learn), experience with software engineering best practices
- A basic understanding of Object-Oriented Programming (OOP)
- Strong background in statistical and machine learning techniques such as anomaly detection, clustering and ranking of events, time series analysis, event stream mining, hypothesis testing, causal inference, and deep learning
- Great at communicating concepts and results; strong data visualization skills
- Relevant industry experience in data science and machine learning
- Experience with online learning algorithms, reinforcement learning, semi-supervised learning, or mixed time-series/event streams
- Familiarity with GenAI and large language models (LLMs). Agentic AI is a plus
Accessibility
HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here.
Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability.
What We Can Offer You:
Health & Wellbeing
We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing.
Personal & Professional Development
We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division.
Unconditional Inclusion
We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good.
Let's Stay Connected:
Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE.
Job:
Administration
Job Level:
N/A
The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level.
– United States of America: Hourly Salary USD 55.00 - 63.25 in California
The listed salary range reflects base salary. Variable incentives may also be offered.
Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html
HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity.
Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities.
HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories.
Recruitment Fraud Alert
We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications.
All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.
See all CPT Cloud Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new CPT Cloud Engineer Jobs.
Get Access To All JobsCloud Engineer CPT: Frequently Asked Questions
Does a Cloud Engineer role qualify for CPT authorization?
Yes, if the work is an integral part of your enrolled curriculum. Cloud engineering duties like designing distributed systems, managing containerized workloads, or building CI/CD pipelines map directly to computer science and information technology degree programs. Your DSO will need the job description to confirm the connection to your specific coursework before issuing CPT authorization on your I-20.
Can I do CPT part-time as a Cloud Engineer while attending classes?
Yes. Part-time CPT is 20 hours or fewer per week and doesn't affect your OPT eligibility regardless of how long you work. Full-time CPT, which is more than 20 hours per week, counts against OPT: 12 or more months of full-time CPT eliminates your OPT entirely. Cloud roles that allow remote or flexible scheduling often work well as part-time CPT arrangements during the academic term.
What documentation does my employer need for CPT hiring?
Your employer needs your CPT-authorized I-20, which lists the employer name, work site address, and exact start and end dates. The I-20 and your valid F-1 visa or entry stamp are the documents you present for I-9 verification. Some cloud employers also request a letter from your DSO confirming the role's academic relevance, especially if their HR team is new to CPT.
How do I find Cloud Engineer employers who are familiar with CPT?
Search on Migrate Mate, which surfaces employers with documented work authorization filing history for cloud and infrastructure roles. Employers with active DOL Labor Condition Application records have already navigated F-1 work authorization before and are less likely to delay your start date over unfamiliarity with CPT procedures.
Does my Cloud Engineer CPT job need to be in-person, or can it be remote?
Remote CPT is permitted, but the employer's primary work site address must appear on your CPT-authorized I-20. If the role is fully remote, your DSO typically lists the employer's headquarters or the address where your direct supervisor is based. Confirm the exact address with your employer before submitting your CPT authorization request so your I-20 reflects the correct work location.