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Distributed Computing Jobs (NOW HIRING)

TekWissen

Could Architect

Atlanta, GA · On-site

Company Description Length of contract: 4 Years Distributed Computing Grid * distributed computing concepts familiarity * elastic computing and resilience * virtualization and containers ...

InterImage

Cloud Software Engineer 3

Fort George G Meade, MD · 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 ...

vetegrity

Cloud Software Engineer

Annapolis Junction, MD · On-site

$61.25 - $79.75/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 ...

InterImage

Cloud Software Engineer 3

Annapolis Junction, MD

$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 ...

ThisWay

Distributed Systems Engineer

This role focuses on building foundational distributed systems and operational infrastructure that support AI and exascale computing environments. The work emphasizes systems programming, distributed ...

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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 Aug 14, 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.

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 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.

Is distributed computing a good career?

Distributed computing is a growing field that involves designing and managing systems that process data across multiple machines. It requires skills in programming, networking, and system architecture, and offers opportunities in technology companies, research, and cloud services. The career can be stable and well-paying for those with relevant expertise and certifications.
More about Distributed Computing jobs

What job categories do people searching Distributed Computing jobs look for?

The top searched job categories for Distributed Computing jobs are:

Distributed Computing jobs near you
Infographic showing various Distributed Computing job openings in the United States as of August 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $138,930 per year, or $66.8 per hour.

Software Engineer (Cloud) - FULLY CLEARED with POLYGRAPH REQUIRED

Constellation Technologies, Inc

Annapolis Junction, MD • On-site

$61.25 - $79.75/hr

Full-time

Re-posted 21 days ago

Job description

Job Summary:
Constellation Technologies, Inc is seeking a Software Engineer (Cloud) with a TS/SCI clearance and polygraph. This role involves designing and implementing cloud-based solutions, utilizing various programming languages and technologies to manage and analyze big data systems.
Responsibilities:
• Must be a US Citizen.
• Must have TS/SCI clearance w/ active polygraph.
• Twelve (12) years of direct/relevant experience.
• Bachelor’s degree in computer science or related discipline from an accredited college or university is required. Four (04) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a Bachelor’s degree.
• Four (04) years of experience in programs utilizing Big-Data cloud technologies and/or Distributed Computing.
• Master’s in Computer Science or related discipline from an accredited college or university may be substituted for two (02) years of experience.
• Cloudera Certified Hadoop Developer certification may be substituted for one (01) year of Cloud experience.
• Two (02) years of Cloud and/or Distributed Computing Information Retrieval (IR).
• One (01) year of experience with implementing code that interacts with implementation of Cloud Big Table.
• One (01) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
• One (01) year of experience with implementing complex MapReduce analytics.
• One (01) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
• One (01) year of experience in architecting Cloud Computing solutions.
• One (01) year of experience in debugging problems with Cloud based Distributed Computing Frameworks.
• One (01) year of experience in managing multi-node Cloud based installation.
• Experience with Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing.
• Experience with Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
• 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).
• Experience with Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.
• Experience with 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.
• Experience with 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.
• Experience with 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
• Experience in Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications
• Experience with CentOS, Linux/RedHat; Configuration management tools such as Subversion, ClearQuest, or Razor.
• Experience with FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT.
• Experience with Geolocation, emitter identification, and signal applications.
• Experience with Joint program collection platforms and dataflow architectures; signals characterization analysis.
Qualifications:
Required:
• Must be a US Citizen.
• Must have TS/SCI clearance w/ active polygraph.
• Twelve (12) years of direct/relevant experience.
• Bachelor’s degree in computer science or related discipline from an accredited college or university is required. Four (04) years of cloud software engineering experience on projects with similar Big-Data systems may be substituted for a Bachelor’s degree.
• Four (04) years of experience in programs utilizing Big-Data cloud technologies and/or Distributed Computing.
• Master’s in Computer Science or related discipline from an accredited college or university may be substituted for two (02) years of experience.
• Cloudera Certified Hadoop Developer certification may be substituted for one (01) year of Cloud experience.
• Two (02) years of Cloud and/or Distributed Computing Information Retrieval (IR).
• One (01) year of experience with implementing code that interacts with implementation of Cloud Big Table.
• One (01) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
• One (01) year of experience with implementing complex MapReduce analytics.
• One (01) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
• One (01) year of experience in architecting Cloud Computing solutions.
• One (01) year of experience in debugging problems with Cloud based Distributed Computing Frameworks.
• One (01) year of experience in managing multi-node Cloud based installation.
• Experience with Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing.
• Experience with Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
• 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).
• Experience with Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.
• Experience with 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.
• Experience with 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.
• Experience with Ingesting, Parsing and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro and related technologies.
• Experience in Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications.
• Experience with CentOS, Linux/RedHat; Configuration management tools such as Subversion, ClearQuest, or Razor.
• Experience with FORNSAT, CABLE, Terrestrial/Microwave, Overhead, and ELINT.
• Experience with Geolocation, emitter identification, and signal applications.
• Experience with Joint program collection platforms and dataflow architectures; signals characterization analysis.
Preferred:
• Provide in-depth knowledge of Information Retrieval, assist 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 ensured the work is completed in accordance with the constraints of the software development process being used on any particular projects.
• Make recommendations for improving documentation and software development process standards.
• 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.
• Debug problems with Cloud based Distributed Computing Frameworks.
• Manage multi-node Cloud based installation.
• Delegate programming and testing responsibilities to one or more teams and monitor their performance.
• Select the software development process in coordination with the customer and system engineering.
• Recommend new technologies and processes for complex cloud software projects.
• Ensure quality control of all developed and modified software.
• Architect solutions to complex Cloud Software Engineering Problems such as efficiently processing and retrieving large amounts of data.
• Make recommendations for improving documentation and software development process standards.
Company:
Constellation Technologies, Inc. Founded in 2008, the company is headquartered in Columbia, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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