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Distributed Computing Jobs (NOW HIRING)

Kepora

Cloud Software Engineer

Annapolis Junction, MD · 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 ...

Kepora

Cloud Software Engineer

Laurel, MD · On-site

$59.75 - $77.75/hr

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 ...

Kepora

Cloud Software Engineer

Annapolis, MD · 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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$35K

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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.
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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.

Cloud Software Engineer, Level 3

Avalore, LLC

Annapolis Junction, MD

$66 - $85.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 22 days ago

Job description

Avalore is seeking a Cloud Design Engineer, Level 3. 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.

  • 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
  • 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

Requirements

  • Twelve (12) years' experience software engineering experience in programs and contracts of similar scope, type, and complexity is required.
  • Bachelor's 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 BigData 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 bachelor's 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.
  • Clearance: Active TS/SCI with an appropriate current polygraph is required to be considered for this role; Ability to receive privileged access rights.

The following Cloud related experiences are required:

  • Two (2) years of Cloud and/or 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.
  • One (1) year of experience in architecting Cloud Computing solutions
  • One (1) year of experience in debugging problems with Cloud based Distributed Computing
  • Frameworks
  • One (1) year of experience in managing multi-node Cloud based installation
  • Five (5) years of experience in
    • Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing
    • Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.
  • Five (5) years of experience in 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)
  • Five (5) years of experience in
    • 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, MultiNode 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
  • Five (5) years of experience in
    • 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
  • Five (5) years of experience in
    • CentOS, Linux/RedHat,
    • Configuration management tools such as Subversion, ClearQuest, or Razor

Benefits

Eligibility requirements apply.

  • Employer-Paid Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA) with a generous matching program
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Short Term & Long Term Disability
  • Training & Development
  • Employee Assistance Program

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