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Phd Cloud Computing Jobs (NOW HIRING)

Peraton

Cloud/Computing Engineer

Herndon, VA · On-site

$57.25 - $76.50/hr

They are seeking an experienced Cloud/Computing Engineer to manage cloud-based systems and ... or PhD with 3 years relevant experience). • Proven work experience as a Data Center Cloud ...

Peraton

Cloud/Computing Engineer

Herndon, VA · On-site

$135K - $216K/yr

Responsibilities Peraton is seeking an experienced Cloud/Computing Engineer with a focus on the ... PhD with 3 years relevant experience). * Proven work experience as a Data Center Cloud Engineer or ...

Peraton

Cloud/Computing Engineer

Herndon, VA

$135K - $216K/yr

Responsibilities Peraton is seeking an experienced Cloud/Computing Engineer with a focus on the ... PhD with 3 years relevant experience). * Proven work experience as a Data Center Cloud Engineer or ...

Peraton

Cloud/Computing Engineer

Herndon, VA

$135K - $216K/yr

Responsibilities Peraton is seeking an experienced Cloud/Computing Engineer with a focus on the ... PhD with 3 years relevant experience). * Proven work experience as a Data Center Cloud Engineer or ...

Arcfield

Cloud Computing Engineer

Chantilly, VA · On-site

$57.50 - $77/hr

Provide technical expertise on cloud cluster computing techniques and technologies and expert ... MS 8-10, PhD 5-7 * Demonstrated minimum of ten (10) years of experience executing software ...

Peraton

Cloud Engineer

Linthicum, MD

$135K - $216K/yr

... with PhD. A degree in one of the following fields of study is highly desired: Information ... Knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a ...

Peraton

Cloud Engineer

Linthicum, MD · On-site

$135K - $216K/yr

... with PhD. A degree in one of the following fields of study is highly desired: Information ... Knowledge of cloud computing service models Software as a Service (SaaS), Infrastructure as a ...

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How much do phd cloud computing jobs pay per hour?

As of Jun 9, 2026, the average hourly pay for phd cloud computing in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a PhD in Cloud Computing, and why are they important?

To thrive as a PhD in Cloud Computing, you need advanced expertise in distributed systems, algorithms, and networking, supported by a doctoral degree in computer science or a related field. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as well as research tools and programming languages such as Python or Java, is typically required. Strong analytical thinking, problem-solving, and communication skills are essential for publishing research and collaborating with multidisciplinary teams. These skills enable you to drive innovation, solve complex problems, and contribute impactful research in the rapidly evolving field of cloud computing.

What are some common challenges faced by professionals in PhD-level cloud computing roles, and how can they be addressed?

Professionals in PhD-level cloud computing positions often encounter challenges such as designing scalable architectures for large-scale data, ensuring security and privacy in distributed systems, and keeping up with rapidly evolving technologies. Collaboration with cross-functional teams—such as data scientists, software engineers, and IT security experts—is essential to address these complexities. Staying actively involved in research communities, attending conferences, and continuous learning can help mitigate these challenges and foster innovation within cloud environments.

What is a PhD in Cloud Computing?

A PhD in Cloud Computing is an advanced research degree focused on the theory, design, development, and application of cloud-based systems and technologies. Students in this program conduct original research in areas such as distributed computing, security, data management, virtualization, and scalable architectures. The goal is to advance the field by producing new knowledge and solutions that address challenges in cloud computing. Graduates often pursue careers in academia, research institutions, or senior roles in technology companies, contributing to innovation in cloud services and infrastructure.

What is the difference between Phd Cloud Computing vs Cloud Engineer?

AspectPhd Cloud ComputingCloud Engineer
Required CredentialsPhD in Computer Science or related field, specialized in cloud computingBachelor's or Master's in Computer Science or related field, cloud certifications
Work EnvironmentResearch labs, academia, R&D departmentsIT companies, cloud service providers, enterprise IT teams
Industry UsageResearch, academia, advanced developmentDeployment, management, and optimization of cloud infrastructure

While a Phd in Cloud Computing focuses on research, theoretical development, and advanced innovation in cloud technologies, a Cloud Engineer is primarily responsible for implementing, managing, and maintaining cloud infrastructure in real-world environments. Both roles require strong technical skills, but their focus areas and work settings differ significantly.

What cities are hiring for Phd Cloud Computing jobs? Cities with the most Phd Cloud Computing job openings:
Infographic showing various Phd Cloud Computing job openings in the United States as of June 2026, with employment types broken down into 94% Full Time, 2% Part Time, and 4% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.
Cloud/Computing Engineer

Cloud/Computing Engineer

Peraton

Herndon, VA • On-site

$57.25 - $76.50/hr

Full-time

Posted 16 hours ago

Peraton rating

8.3

Company rating: 8.3 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

37th of 203 rated it services

Job description

Job Summary:
Peraton is a next-generation national security company that drives missions of consequence spanning the globe. They are seeking an experienced Cloud/Computing Engineer to manage cloud-based systems and processes, create cloud applications, and implement cloud infrastructure solutions for their national intelligence program.
Responsibilities:
• Design, build and manage cloud infrastructure environments.
• Offer guidance in infrastructure movement techniques including bulk application transfers into the cloud.
• Identify top architecture solutions to successfully meet and maintain the clients' strategic needs.
• Install, troubleshoot, patch and configure cloud servers for optimal performance.
• Provide technical leadership, expertise, and design of cloud cluster computing techniques and technologies and expert advice to the program, and to optimize and implement cloud-based architectures and a roadmap to migrate from on premises solutions.
• Optimize memory management identifying the best ways to develop distributed cluster-enabled and graph processing algorithms.
• Lead data integration and migration efforts, including mapping schemas, performing Resource Framework Definition (RDF) translations, and defining domain specific functionality, where applicable
• Develop large data technologies, algorithms, and applications for clients. Research, evaluate, and deploy advanced cloud computing systems and large data analytics for clients in research and production areas.
• Work with massive data sets, complex algorithms, and team members from a variety of specialties to resolve clients' hardest problems.
• Support a range of clients from front line analysts to researchers and senior leadership. Work as a key contributor on a collaborative, fast-growing, and highly skilled software development team.
• Experience with information extraction and analysis techniques, practices, and algorithms.
• Knowledge of a variety of advanced computer science and mathematical concepts, practices, and procedures associated with the analysis of large datasets, from indexing schemes to statistical tests
• Knowledge of Cloud computing, Hadoop or MapReduce, Netezza, Vertica, BigTable, Pig, Terradata, or Amazon Web Services-Ability to obtain a security clearance.
• Apply expert knowledge in computer science, particularly in the Semantic Web and cloud computing environments.
• Develop, implement and maintain processes, procedures, test cases, test results, issue resolutions, and performance analysis, and user guidelines/ instructions documentation.
• Travel: Travel may be required within the National Capital Region (NCR) on an as needed basis for customer or corporate requirements.
Qualifications:
Required:
• Active Top Secret/ Sensitive Compartmented Information (TS/SCI) clearance with ability to pass a Poly clearances.
• Minimum of 8 years relevant experience with a Bachelor's degree (Master's degree and 6 years of relevant experience or PhD with 3 years relevant experience).
• Proven work experience as a Data Center Cloud Engineer or similar role utilizing cloud technologies.
• AWS Certified Cloud Architect.
• Excellent problem-solving skills with attention to detail.
• Strong communication and collaboration abilities.
Preferred:
• Active TS/SCI with Poly clearances.
• Degree(s) in Computer Science, Engineering, or related field.
• Knowledge of web services API, REST and RPC.
• Containerization experience using Docker and Kubernetes.
• Experience with Python, Java, and Ruby programming languages.
Company:
Peraton Fearlessly solving the toughest national security challenges. Founded in 1992, the company is headquartered in Woodbridge, USA, with a team of 10001+ employees. The company is currently Late Stage.

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About Peraton

Sourced by ZipRecruiter

At Peraton, we re at the forefront of delivering the next big thing every day. We re the partner of choice to help solve some of the world s most daunting challenges, delivering bold, new solutions to keep people around the world safer and more secure.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Herndon, VA, US

Year founded

2017

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