ZipRecruiter

Log In

1

Weekend Cloud Computing Jobs in Reston, VA (NOW HIRING)

Kepora

Cloud Software Engineer

Potomac, MD · On-site

$62 - $80.75/hr

Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications ... N Work on Weekends: N Shift Work: N WarZone: N COOP: N Unpublished Skills: N Mandatory Skills: 1. ...

Apply Early

Kepora

Cloud Software Engineer

Potomac, MD

$62 - $80.75/hr

Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications ... N Work on Weekends: N Shift Work: N WarZone: N COOP: N Unpublished Skills: N Mandatory Skills: 1. ...

Apply Early

TekSynap

Lead Infrastructure Engineer Cloud Services

Reston, VA · On-site

$58 - $77.50/hr

May be requested to work evenings and weekends to meet program and contract needs. * Amount of ... Experience with one of the large cloud-computing infrastructure solutions similar to AWS or Elastic ...

Apply Early

next page

Showing results 1-20

All JobsWeekend Cloud Computing JobsWeekend Cloud Computing Jobs in Reston, VA

Weekend Cloud Computing information

See Reston, VA salary details

$24

$65

$90

How much do weekend cloud computing jobs pay per hour?

As of Jul 4, 2026, the average hourly pay for weekend cloud computing in Reston, VA is $65.42, according to ZipRecruiter salary data. Most workers in this role earn between $55.77 and $74.52 per hour, depending on experience, location, and employer.

Is cloud computing worth IT in 2026?

Cloud computing remains a valuable skill for IT professionals, including those in weekend cloud computing roles, as organizations increasingly rely on cloud services for scalability and cost efficiency. Proficiency in cloud platforms like AWS, Azure, or Google Cloud, along with certifications, can enhance job prospects and career growth in the evolving IT landscape of 2026.

Are cloud jobs still in demand?

Cloud computing jobs, including roles like cloud engineers and architects, remain in high demand due to ongoing digital transformation and increased reliance on cloud services. Skills in platforms such as AWS, Azure, or Google Cloud, along with certifications, can enhance job prospects in this field.

How to get a cloud job with no experience?

To get a cloud computing job with no experience, focus on building foundational skills in cloud platforms like AWS, Azure, or Google Cloud through free online courses and tutorials. Earning entry-level certifications such as AWS Certified Cloud Practitioner can demonstrate your knowledge, and gaining hands-on experience with labs or personal projects can improve your chances of securing an entry-level position.

What are the key skills and qualifications needed to thrive in the Weekend Cloud Computing position, and why are they important?

To excel in a Weekend Cloud Computing role, you need strong skills in cloud infrastructure management (such as AWS, Azure, or Google Cloud), scripting, and troubleshooting, typically supported by a degree in computer science or relevant certifications like AWS Certified Solutions Architect. Familiarity with monitoring tools, version control systems, virtualization, and cloud security best practices is crucial. Excellent problem-solving abilities, attention to detail, and proactive communication skills help you stand out during off-hours or remote collaboration. These competencies ensure smooth cloud operations, rapid response to incidents, and minimal downtime during weekend shifts.

What is a Weekend Cloud Computing job?

A Weekend Cloud Computing job typically involves managing, monitoring, and maintaining cloud-based systems and services during weekends. Employers hire professionals for these roles to ensure uptime, troubleshoot issues, and support critical infrastructure outside regular business hours. Responsibilities may include cloud deployments, performance optimization, and security monitoring. These positions are ideal for IT professionals looking for flexible schedules or additional income while utilizing their cloud expertise.

What are the typical duties and expectations for a Weekend Cloud Computing position?

In a Weekend Cloud Computing position, you’re primarily responsible for monitoring cloud environments, responding to incidents, and performing routine maintenance or updates when demand is lower. You may also be asked to troubleshoot urgent issues, assist with deployments, or collaborate with internal teams via remote communication tools. You’ll likely work independently, but occasional coordination with weekday staff is essential to ensure operational continuity. Expect to document your activities thoroughly and escalate complex issues as needed. This role is well-suited for those who thrive in a self-directed environment and are comfortable handling after-hours challenges.

Will AI replace cloud computing jobs?

AI is expected to automate certain tasks within cloud computing roles, such as data management and infrastructure monitoring, but it is unlikely to fully replace cloud computing jobs. Professionals with skills in cloud platforms, scripting, and AI integration will continue to be in demand to manage, optimize, and develop cloud solutions. Adaptability and ongoing learning remain important for cloud computing professionals in an evolving technological landscape.
What are the most commonly searched types of Cloud Computing jobs in Reston, VA? The most popular types of Cloud Computing jobs in Reston, VA are:
What are popular job titles related to Weekend Cloud Computing jobs in Reston, VA? For Weekend Cloud Computing jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Weekend Cloud Computing jobs in Reston, VA look for? The top searched job categories for Weekend Cloud Computing jobs in Reston, VA are:
Weekend Cloud Computing jobs near you
Infographic showing various Weekend Cloud Computing job openings in Reston, VA as of June 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $136,081 per year, or $65.4 per hour.
Cloud Software Engineer

Cloud Software Engineer

Kepora

Potomac, MD • On-site

$62 - $80.75/hr

Full-time

Posted 7 days ago

Be an early applicant

Job description

🔒 Clearance & Citizenship Requirements

This position requires U.S. Citizenship and an active TS/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