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Cloud Computing Jobs in Frederick, MD (NOW HIRING)

Kepora

Cloud Software Engineer

Potomac, MD

$62 - $80.75/hr

Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object Oriented Design. Works individually or ...

Kepora

Cloud Software Engineer

Potomac, MD

$62 - $80.75/hr

Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object Oriented Design. Works individually or ...

360 IT Professionals Inc.

Java Developer

Germantown, MD · On-site

$51.50 - $66.75/hr

Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to effectively manage one's business and ease out all the operations by giving an easy platform. Apart from ...

360 IT Professionals

Java Developer

Germantown, MD

$51.50 - $66.75/hr

Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to effectively manage one's business and ease out all the operations by giving an easy platform. Apart from ...

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All JobsCloud Computing JobsCloud Computing Jobs in Frederick, MD

Cloud Computing information

See Frederick, MD salary details

$10

$61

$84

How much do cloud computing jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for cloud computing in Frederick, MD is $61.36, according to ZipRecruiter salary data. Most workers in this role earn between $53.80 and $73.61 per hour, depending on experience, location, and employer.

What is cloud computing?

Cloud computing is the process of using remote resources to complete tasks that you would normally do on a local computer or server. This includes data storage, analytics, database management, software hosting, and many other services. The primary advantage of cloud computing is its ability to scale as customers need it. Most cloud computing takes place in large data centers, each of which has tens of thousands of servers for people to access. With cloud computing, it is possible to add and remove servers to a system as needed to handle the workload, thus freeing the user from needing to buy and maintain each of them separately. You can do cloud computing through private machines that run nothing else, but many operations use shared machines to help distribute the load more effectively.

What is cloud computing?

Cloud computing is the delivery of computing services such as servers, storage, databases, networking, software, analytics, and intelligence over the internet ('the cloud'). Instead of owning and maintaining physical data centers or servers, organizations can access these resources on-demand from cloud providers like Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. This approach allows for greater flexibility, scalability, and cost efficiency, as users only pay for the resources they use. Cloud computing also enables easier collaboration, backup, and disaster recovery.

What are the key skills and qualifications needed to thrive as a cloud computing professional, and why are they important?

To thrive in Cloud Computing, you need a strong understanding of networking, virtualization, cloud architecture, and security, often backed by a relevant degree or cloud certifications. Familiarity with platforms like AWS, Azure, or Google Cloud, as well as tools such as Docker and Kubernetes, is typically required. Problem-solving, adaptability, and effective communication are crucial soft skills for managing cloud-based projects and collaborating with teams. These competencies ensure the efficient design, deployment, and maintenance of scalable and secure cloud solutions in a rapidly evolving technology landscape.

What are some typical challenges faced by professionals working in cloud computing roles?

Professionals in cloud computing often navigate challenges such as ensuring data security and compliance, managing costs associated with cloud resources, and keeping up with rapidly evolving technologies. Collaborating effectively with cross-functional teams, such as developers, security analysts, and business stakeholders, is also crucial to successfully deploying and maintaining cloud solutions. Additionally, adapting to different cloud platforms (like AWS, Azure, or Google Cloud) and their unique services can require continuous learning and flexibility.

What is the difference between Cloud Computing vs Cloud Engineer?

AspectCloud ComputingCloud Engineer
Primary FocusUtilizing cloud services and solutionsDesigning, building, and maintaining cloud infrastructure
Required SkillsKnowledge of cloud platforms, basic scripting, understanding of cloud servicesCloud platform expertise, scripting, infrastructure as code, networking
Work EnvironmentCloud service providers, enterprise IT teamsCloud development teams, IT departments, consulting firms
CertificationsAWS, Azure, Google Cloud certificationsAWS Certified Solutions Architect, Azure Solutions Architect, similar certifications

Cloud Computing refers to the use of cloud services and platforms to deliver computing resources, while a Cloud Engineer is a professional who designs, implements, and manages cloud infrastructure. The roles are interconnected, with Cloud Engineers applying their skills to enable effective cloud computing solutions for organizations.

Is cloud computing a good career?

Cloud computing is a growing field with high demand for professionals skilled in platforms like AWS, Azure, and Google Cloud. It offers opportunities in roles such as cloud engineer, architect, and administrator, often requiring certifications and knowledge of networking, security, and scripting. The field provides competitive salaries and continuous learning opportunities due to rapid technological advancements.

What are cloud computing jobs?

Cloud computing jobs involve managing, deploying, and maintaining cloud-based infrastructure and services, such as servers, storage, and networks. Roles include cloud engineers, architects, and administrators who often work with platforms like AWS, Azure, or Google Cloud and require skills in scripting, security, and virtualization.
More about Cloud Computing jobs

What are the most commonly searched types of Cloud Computing jobs in Frederick, MD?

The most popular types of Cloud Computing jobs in Frederick, MD are:

What are popular job titles related to Cloud Computing jobs in Frederick, MD?

For Cloud Computing jobs in Frederick, MD, the most frequently searched job titles are:

What job categories do people searching Cloud Computing jobs in Frederick, MD look for?

The top searched job categories for Cloud Computing jobs in Frederick, MD are:

What cities near Frederick, MD are hiring for Cloud Computing jobs?

Cities near Frederick, MD with the most Cloud Computing job openings:

Cloud Computing jobs near you
Infographic showing various Cloud Computing job openings in Frederick, MD as of August 2026, with employment types broken down into 85% Full Time, 10% Part Time, and 5% Contract. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution, with an average salary of $127,629 per year, or $61.4 per hour.

Cloud Software Engineer

Kepora

Potomac, MD

$62 - $80.75/hr

Full-time

Re-posted 10 days ago

Job description

???? Clearance & Citizenship Requirements

This position requires U.S. Citizenship and an activeTS/SCI security clearance with Full Scope Polygraph.Candidates who do not currently hold these credentials will not be considered.

Description:
The Cloud Software Engineer develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented requirements. Directly contributes to all stages of back-end processing, analyzing, and indexing. Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object Oriented Design. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.
CONUS TRAVEL: N
OCONUS TRAVEL: N
Regular Hours Per Year: 1880
Extra Hours Per Year: 0
Night Work: N
Local Travel Using a POV: N
Pager Duty: N
Pager Duty Comments:
Work on Holidays: N
Work on Weekends: N
Shift Work: N
WarZone: N
COOP: N
Unpublished Skills: N
Mandatory Skills:
1. Twelve (12) years experience software engineering experience in programs and contracts of similar scope, type, and complexity is required. Bachelors degree in Computer Science or related discipline from an accredited college or university is required; four (4) years of which must be in programs utilizing Big-Data cloud technologies and/or Distributed Computing. Four (4) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelors degree. Master in Computer Science or related discipline from an accredited college or university may be substituted for two (2) years of experience. Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience.
2. The following Cloud related experiences are required:
3. a. Two (2) years of Cloud and/or Distributed Computing Information Retrieval (IR).
4. b. One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table.
5. c. One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
6. d. One (1) year of experience with implementing complex MapReduce analytics.
7. e. One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
8. f. One (1) year of experience in architecting Cloud Computing solutions
9. g. One (1) year of experience in debugging problems with Cloud based Distributed Computing Frameworks
10. h. One (1) year of experience in managing multi-node Cloud based installation
11. Experience in Computer Network Operations:
12. a. Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing
13. b. Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
14. Experience in Information Assurance: Securing Cloud Based and Distributed applications through industry standard techniques such as Firewalls, PKI Certificate and Server Authentication with experience in Corporate authentication service(s)
15. Experience in Information Technology:
16. a. Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.
17. b. Cloud and Distributed Computing Technologies: at least one or a combination of several of the following areas - YARN, J2EE, MapReduce, Zookeeper, HDFS, HBase, JMS, Concurrent Programming, Multi-Node implementation/installation and other applicable technologies.
18. c. Cloud and Distributed Computing Information Retrieval: at least one or a combination of several of the following areas - HDFS, HBASE, Apache Lucene, Apache Solr, MongoDB
19. d. Ingesting, Parsing and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro and related technologies
20. e. Aspect Oriented Design and Development
21. f. Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications
22. g. UNIX/LINUX, CentOS
23. Experience in SIGINT: 1. Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT) 2. Geolocation, emitter identification, and signal applications. 3. Joint program collection platforms and dataflow architectures; signals characterization analysis
24. Experience with Other: 1. CentOS, Linux/RedHat, 2. Configuration management tools such as Subversion, ClearQuest, or Razor.
Optional Skills:
1. Provide in-depth knowledge of Information Retrieval; assisting the software development team in designing, developing and testing Cloud Information Retrieval (U) Implement complex workflows that manage Cloud MapReduce analytics (U) Implement code that interacts with Cloud Distributed Coordination Frameworks (U) Oversee one or more software development tasks and ensures the work is completed in accordance with the constraints of the software development process being used on any particular project (U) Make recommendations for improving documentation and software development process standards (U) Serve as a subject matter expert for Cloud Computing and corresponding technologies including Hadoop assisting the software development team in designing, developing and testing Cloud Computing Systems (U) Debug problems with Cloud based Distributed Computing Frameworks (U) Manage multi-node Cloud based installation (U) Delegate programming and testing responsibilities to one or more teams and monitor their performance (U) Select the software development process in coordination with the customer and system engineering (U) Recommend new technologies and processes for complex cloud software projects (U) Ensure quality control of all developed and modified software (U) Architect solutions to complex Cloud Software Engineering Problems such as efficiently processing and retrieving large amounts of data (U) Make recommendations for improving documentation and software development process standards