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Distributed Computing Jobs (NOW HIRING)

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 ...

ARSIEM

658 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 ...

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 ...

ARSIEM

655 Cloud Software Engineer 2

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 ...

ARSIEM

655 Cloud Software Engineer 2

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 ...

ARSIEM

655 Cloud Software Engineer 2

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 ...

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 ...

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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 Jun 13, 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 is the salary of a distributed system engineer?

The salary of a distributed system engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Professionals with expertise in cloud platforms, programming, and system architecture tend to earn higher salaries.

What engineers make $500,000?

Senior engineers in fields like software engineering, data engineering, and distributed systems can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries such as technology and finance. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

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, scientific simulations, or cloud services, by coordinating resources and managing communication between nodes. Professionals in this field often work with network protocols, programming languages, and tools like Hadoop or Spark to develop and maintain these systems.

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.

What jobs can DT get you?

Distributed computing skills can qualify you for roles such as systems administrator, cloud engineer, data engineer, or software developer focused on distributed systems. These jobs often require knowledge of networking, programming, and tools like Hadoop or Spark, and may involve managing large-scale data processing or cloud infrastructure.
More about Distributed Computing jobs
What cities are hiring for Distributed Computing jobs? Cities with the most Distributed Computing job openings:
What states have the most Distributed Computing jobs? States with the most job openings for Distributed Computing jobs include:
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 June 2026, with employment types broken down into 98% Full Time, 1% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $138,930 per year, or $66.8 per hour.
Cloud Software Engineer 3

Cloud Software Engineer 3

InterImage

Annapolis Junction, MD

$66 - $85.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted just now

Job description


Job Title: Cloud Software Engineer 3
About Us:
InterImage is a dynamic and innovative tech company dedicated to creating cutting-edge software solutions. We thrive on pushing boundaries, solving complex challenges, and fostering an environment of creativity and collaboration.
Position Overview:
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.
Notes:
This position requires experience in Cloudera
Requirements
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:
a. Two (2) years of Cloud and/or Distributed Computing Information Retrieval (IR).
b. One (1) year of experience with implementing code that interacts with implementation of Cloud Big Table.
c. One (1) year of experience with implementing code that interacts with implementation of Cloud Distributed File System.
d. One (1) year of experience with implementing complex MapReduce analytics.
e. One (1) year of experience with implementing code that interacts with Cloud Distributed Coordination Frameworks.
f. One (1) year of experience in architecting Cloud Computing solutions
g. One (1) year of experience in debugging problems with Cloud based Distributed Computing Frameworks
h. One (1) year of experience in managing multi-node Cloud based installation

3. Experience in Computer Network Operations:
a. Utility Computing, Network Management, Virtualization (VMWare or VirtualBox), Cloud Computing
b. Multi Node Management and Installation: Management and installation of Cloud and Distributed Computing on multiple nodes, Python, CFEngine, Bash, Ruby or related technologies.

4. 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)

5. Experience in Information Technology:
a. Object Oriented Design and Programming, Java, Eclipse or similar development environment, MAVEN, RESTful web services.
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.
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
d. Ingesting, Parsing and Analysis of Disparate Data-sources and formats: XML, JSON, CSV, Binary Formats, Sequence or Map Files, Avro and related technologies
e. Aspect Oriented Design and Development
f. Debugging and Profiling Cloud and Distributed Installations: Java Virtual Machine (JVM) memory management, Profiling Java Applications
g. UNIX/LINUX, CentOS

6. 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

7. Experience with Other: 1. CentOS, Linux/RedHat, 2. Configuration management tools such as Subversion, ClearQuest, or Razor.
InterImage Benefits Snapshot:

  • 401K - 7% contribution with 3% profit sharing; 1-year cliff vesting schedule.
  • Paid Time Off: 4 weeks.
  • Paid Holiday Leave: 11 days (88 Hours).
  • Life Insurance: $50,000; 100% of premium.
  • Short-term/Long-term Insurance: 100% premium.
  • Healthcare: 2 CareFirst Administrator plans offered, $0 Employee only option, Metlife for Vision, and The Standard for Dental.

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