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Distributed Computing Jobs (NOW HIRING)

655 Cloud Software Engineer 2

Annapolis Junction, MD ยท On-site

$66 - $85.75/hr

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

Cloud Software Engineer

Potomac, MD ยท On-site

$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 ...

Apply Early

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

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

Apply Early

Cloud Software Engineer 3

Annapolis, MD ยท On-site

$59.50 - $77.25/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 ...

655 Cloud Software Engineer 2

Annapolis Junction, MD ยท On-site

$66 - $85.75/hr

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

655 Cloud Software Engineer 2

Annapolis, MD ยท On-site

$59.50 - $77.25/hr

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

Cloud Software Engineer 2 - I

Fort George G Meade, MD ยท On-site

$66.50 - $86.50/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 ...

Cloud Software Engineer

Annapolis Junction, MD ยท On-site

$66 - $85.75/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 ...

Cloud Software Engineer

Annapolis, MD ยท On-site

$59.50 - $77.25/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 ...

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Distributed Computing information

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$35K

$138.9K

$200K

How much do distributed computing jobs pay per year?

As of Jul 4, 2026, the average yearly pay for distributed computing in the United States is $138,930.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $164,500.00 per year, depending on experience, location, and employer.

Is distributed systems a good career?

Distributed computing is a growing field that involves designing and managing systems across multiple machines to improve performance and scalability. It requires skills in programming, networking, and system architecture, often utilizing tools like Hadoop or Kubernetes. Careers in this area can offer high demand and competitive salaries, especially for those with expertise in cloud platforms and large-scale data processing.

What is an example of distributed computing in real life?

Distributed computing in a job context involves coordinating multiple computers or servers to perform large-scale tasks efficiently. An example is processing big data analytics across a cluster of servers, which requires knowledge of distributed systems, networking, and parallel processing tools like Hadoop or Spark.

What does distributed computing do?

Distributed computing involves dividing complex tasks across multiple computers or servers to process data more efficiently and quickly. It enables systems to handle large-scale problems, such as data analysis or scientific simulations, by coordinating resources and managing communication between nodes. Professionals in this field often work with network protocols, cloud platforms, and parallel processing tools.

What are the key skills and qualifications needed to thrive as a Distributed Computing Engineer, and why are they important?

To excel as a Distributed Computing Engineer, you need a strong background in computer science, proficiency in algorithms, and experience with networked systems, often supported by a relevant degree. Familiarity with distributed systems frameworks (like Hadoop, Spark, or Kubernetes), cloud platforms (such as AWS or Azure), and knowledge of programming languages like Java, Python, or Scala is essential. Strong problem-solving, teamwork, and communication skills are crucial for designing scalable solutions and collaborating across teams. These competencies are vital to efficiently build, maintain, and troubleshoot complex distributed systems that power modern applications.

What is the highest paying job in computing?

In computing, roles such as Chief Technology Officer (CTO), Solutions Architect, and Data Science Director tend to be among the highest paying, often earning six-figure salaries. These positions typically require extensive experience, advanced skills in areas like cloud computing, machine learning, or cybersecurity, and often involve leadership responsibilities.

What is distributed computing?

Distributed computing is a field of computer science that involves dividing complex computational tasks across multiple computers or servers, which work together to solve problems more efficiently. These systems can be located in the same physical location or spread across the globe, connected via networks. Distributed computing allows for greater scalability, fault tolerance, and resource sharing, making it essential for tasks like big data analysis, scientific simulations, and cloud computing. Professionals in this field design, implement, and maintain systems that coordinate processes, manage data consistency, and ensure reliable communication between distributed components.

What are some common challenges faced by professionals working in distributed computing roles?

Professionals in distributed computing often encounter challenges such as maintaining system reliability and consistency across multiple nodes, troubleshooting issues that arise due to network latency or partitioning, and ensuring data security in a decentralized environment. Collaboration with cross-functional teams is essential, as distributed systems typically span several departments, requiring clear communication and coordinated problem-solving efforts. Adapting to rapidly evolving technologies and staying updated on best practices is also key to succeeding in this dynamic field.

What is the difference between Distributed Computing vs Cloud Engineer?

AspectDistributed ComputingCloud Engineer
Required CredentialsBachelor's in Computer Science or related; certifications like Hadoop, SparkBachelor's in Computer Science or related; cloud certifications (AWS, Azure, GCP)
Work EnvironmentData centers, high-performance clusters, on-premises or hybrid setupsCloud platforms, virtual environments, cloud service providers
Industry UsageBig data processing, scientific computing, enterprise data managementCloud infrastructure deployment, application development, DevOps
Common Search/ComparisonDistributed ComputingCloud Engineer

Distributed Computing involves managing and processing data across multiple systems to improve performance and scalability, often in on-premises or hybrid environments. Cloud Engineers focus on designing, deploying, and maintaining cloud-based infrastructure and services. While both roles require knowledge of networking, systems, and certifications, Distributed Computing emphasizes data processing frameworks, whereas Cloud Engineers specialize in cloud platforms and services.

More about Distributed Computing jobs
What cities are hiring for Distributed Computing jobs? Cities with the most Distributed Computing job openings:
Infographic showing various Distributed Computing job openings in the United States as of June 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution, with an average salary of $138,930 per year, or $66.8 per hour.
Cloud Software Engineer 2 with Security Clearance

Cloud Software Engineer 2 with Security Clearance

ARSIEM Corporation

Annapolis Junction, MD โ€ข On-site

$61.25 - $79.75/hr

Other

Posted 7 days ago


Job description

About ARSIEM Corporation At ARSIEM Corporation we are committed to fostering a proven and trusted partnership with our government clients.ย  Weย provide support to multiple agencies across the United States Government.ย  ARSIEMย has an experienced workforce of qualified professionals committed to providing the best possible support. As demand increases, ARSIEM continues to provide reliable and cutting-edge technical solutions at the best value to our clients.ย ย That means a career packed with opportunities to grow and the ability to have an impact on every client you work with.ย  ARSIEM is currently looking for a Cloud Software Engineer 2 to develop complex and diverse Big-Data Cloud systems. The position will support one of our government clients in Annapolis Junction, MD. Responsibilities * Develops, maintains, and enhances complex and diverse Big-Data Cloud systems based upon documented requirements.ย  * Directly contributes to all stages of back-end processing, analyzing, and indexing.ย  * Provides expertise in Cloud Computing, Hadoop Eco-System including implementing Java applications, Distributed Computing, Information Retrieval (IR), and Object Oriented Design.ย  * Works individually or as part of a team.ย  * Reviews and tests software components for adherence to the design requirements and documents test results.ย  * Resolves software problem reports.ย  * Utilizes software development and software design methodologies appropriate to the development environment.ย  * 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. Minimum Qualifications * Experience with at least a subset of the following: Devops, Elastic Search, NiFi, Python, Java/Spring Boot, Angular * Eight (8) years experience software engineering experience in programs and contracts of similar scope, type, and complexity is required; two (2) years of which must be in programs utilizing Big-Data Cloud technologies and/or Distributed Computing. * Bachelors degree in Computer Science or related discipline from an accredited college or university is required. * Four (4) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a bachelors degree.ย  * Master in Computer Science or related discipline from an accredited college or university may be substituted for two (2) years of experience.ย  * Cloudera Certified Hadoop Developer certification may be substituted for one (1) year of Cloud experience. * The following Cloud related experiences are required: * Two (2) years of Cloud and Distributed Computing Information Retrieval (IR). * One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table. * One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System. * One (1) year of experience with implementing complex MapReduce analytics. * One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks. * Experience with Computer Network Operations: Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computingย  * Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies. * Experience with 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) * Experience with Information Technology: * Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services. * 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. * 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 * Ingesting, Parsing and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro and related technologies * Aspect Oriented Design and Development * Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, * Profiling Java Applications * UNIX/LINUX, CentOS * Experience with SIGINT: * Experience with at least one SIGINT collection discipline areas (FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT) * Geolocation, emitter identification, and signal applications. * Joint program collection platforms and dataflow architectures; signals characterization analysis * Experience with Other: * CentOS and Linux/RedHat * Configuration management tools such as Subversion, ClearQuest, or Razor Preferred Qualifications * Provide in-depth knowledge of Information Retrieval; assisting the software development team in designing, developing and testing Cloud Information Retrieval * Implement complex workflows that manage Cloud MapReduce analytics * Implement code that interacts with Cloud Distributed Coordination Frameworks * 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 * Make recommendations for improving documentation and software development process standards $135,000 - $152,000 a year The ARSIEM pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) job responsibilities, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other laws. Benefits: For an overview of our benefits, please visit our benefits tab. https://www.arsiem.com/careers/ Original Posting Date: 2026-05-05 Clearance Requirement: This position requires an active TS/SCI with a polygraph. You must be a US Citizen for consideration. Candidate Referral: Do you know someone who would be GREAT at this role? If you do, ARSIEM has a way for you to earn a bonus through our referral program for persons presenting NEW (not in our resume database) candidates who are successfully placed on one of our projects. The bonus for this position is $10,000,ย  and the referrer is eligible to receive the sum for any applicant we place within 12 months of referral. The bonus is paid after the referred employee reaches 6 months of employment. ARSIEM is proud to be an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other federally protected class. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. apply for this job ARSIEM Home Page
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