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Grid Computing Jobs (NOW HIRING)

RIT Solutions, Inc.

Python Developer

Glendale, CA · On-site

$53.25 - $73.50/hr

Grid computing and handling large data volumes is a plus. * Looking for someone comfortable with test-driven development, functional testing, and continuous integration (CI/CD pipelines). * Strong ...

RIT Solutions

Python Developer

Glendale, CA · On-site

$53.25 - $73.50/hr

Grid computing and handling large data volumes is a plus. Looking for someone comfortable with test-driven development, functional testing, and continuous integration (CI/CD pipelines). Strong ...

Datasignify

Quantitative Developer

Manhattan, NY

Position Description · Designing and implement a framework for model-driven computations on a graph · Designing and building infrastructure APIs for grid computing, data storage, and access · Unit ...

Chase

Sr. Lead Software Engineer

Austin, TX · On-site

Deploy and manage applications using Kubernetes (K8s) and HPC/Grid Computing/Big Data technologies such as Slurm, LSF, Spark, Ray and Symphony in cloud environments. Required Qualifications ...

Chase

Sr. Lead Software Engineer

Plano, TX · On-site

Deploy and manage applications using Kubernetes (K8s) and HPC/Grid Computing/Big Data technologies such as Slurm, LSF, Spark, Ray and Symphony in cloud environments. Required Qualifications ...

Chase

Sr. Lead Software Engineer

Jersey City, NJ · On-site

Deploy and manage applications using Kubernetes (K8s) and HPC/Grid Computing/Big Data technologies such as Slurm, LSF, Spark, Ray and Symphony in cloud environments. Required Qualifications ...

Cynet Systems

Data Engineer

Manhattan, NY · On-site

$65 - $70/hr

Grid computing technologies. Technical background in integration development andor infrastructure. Familiar with system architecture to understand how data flows from upstream systems to downstream ...

Apex Systems

Senior Python Developer

Jersey City, NJ

$126K - $170K/yr

Experience with grid computing and high data volume. * Experience and desire to work in an Agile process (pair programming, daily stand-ups, etc.). * Demonstrable knowledge of the problem domain in ...

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How much do grid computing jobs pay per hour?

As of Jun 5, 2026, the average hourly pay for grid computing in the United States is $79.33, according to ZipRecruiter salary data. Most workers in this role earn between $75.72 and $82.93 per hour, depending on experience, location, and employer.

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

To thrive as a Grid Computing Specialist, you need a strong background in computer science, distributed systems, and network infrastructure, typically supported by a relevant degree. Familiarity with grid middleware (such as Globus Toolkit), high-performance computing clusters, and scripting languages like Python or Bash is important, and certifications in cloud or distributed computing can be advantageous. Excellent problem-solving skills, teamwork, and clear communication are crucial for collaborating across technical and research teams. These competencies ensure efficient resource management, system reliability, and successful execution of large-scale computational tasks.

What are some common challenges faced when working in a Grid Computing role, and how can they be addressed?

Professionals in Grid Computing often encounter challenges such as resource allocation, system interoperability, and managing large-scale distributed data. Addressing these issues requires strong problem-solving skills and familiarity with middleware platforms that facilitate communication between heterogeneous systems. Collaborating closely with network engineers, developers, and data scientists is essential to ensure seamless integration and optimal performance. Staying updated on emerging technologies and best practices can also help mitigate these challenges.

What is grid computing?

Grid computing is a distributed computing model that connects multiple computers, often geographically dispersed, to work together on complex tasks or large-scale processing. This system allows for the sharing of resources such as processing power, storage, and data across different organizations or locations. Grid computing is commonly used for scientific research, data analysis, and solving problems that require significant computational resources. By enabling resource pooling and task distribution, grid computing can significantly increase efficiency and reduce costs compared to traditional supercomputing methods.

What is the difference between Grid Computing vs Network Administrator?

AspectGrid ComputingNetwork Administrator
Required CredentialsTypically requires degrees in computer science, engineering, or related fields; certifications like CCNA, CompTIA Network+Same as Grid Computing: degrees in IT or related fields; certifications like CCNA, CompTIA Network+
Work EnvironmentDistributed computing environments, data centers, research institutionsCorporate offices, data centers, network operation centers
Industry UsageResearch, scientific computing, large-scale data processingBusiness networks, IT infrastructure management, enterprise networks

While both roles require networking knowledge and similar certifications, Grid Computing focuses on managing distributed computing resources for large-scale processing, whereas Network Administrators oversee and maintain organizational network infrastructure.

More about Grid Computing jobs
What job categories do people searching Grid Computing jobs look for? The top searched job categories for Grid Computing jobs are:
Grid Computing jobs near you
Infographic showing various Grid Computing job openings in the United States as of May 2026, with employment types broken down into 60% Full Time, 39% Part Time, and 1% Contract. Highlights an 76% Physical, 6% Hybrid, and 18% Remote job distribution, with an average salary of $165,000 per year, or $79.3 per hour.
Python Developer

Python Developer

RIT Solutions, Inc.

Glendale, CA • On-site

$53.25 - $73.50/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Must have :
  • 6+yr Python Development
  • Banking exp
  • LinkedIn page

  • Focus on UI and REST service integration - candidate must be able to design the interface between these components.
  • UI work will involve data-grid centric UI development using Angular (5.x or later).
  • Needs someone with 6-10 years of overall technology experience.
  • Must have 6-10 years of experience in object-oriented programming - open to languages like Java, C++, C#, etc., but Python is the main focus.
  • 3-5 years of Python development experience is a must.
  • Experience in designing and optimizing SQL database tables/queries (6-10 years required).
  • Agile development experience is important - candidate should be comfortable participating in the full software development lifecycle.
  • Version control experience with Git and package management tools like npm is a plus.
  • Financial services background preferred - experience with financial instruments and Price Verification processes is desirable.
  • Grid computing and handling large data volumes is a plus.
  • Looking for someone comfortable with test-driven development, functional testing, and continuous integration (CI/CD pipelines).
  • Strong communication skills are required - written and verbal.
  • Needs someone who thrives in an Agile environment and enjoys collaborating across teams.
  • Bonus if they have experience with object-oriented databases.
  • Would love someone with hands-on experience in banking or financial software development.
Action Items:
  • Source candidates with strong Python and object-oriented programming backgrounds.
  • Prioritize those with UI, REST, and SQL experience.
  • Look for profiles with financial industry exposure and Agile development experience.
Ensure candidates are comfortable with test-driven development and modern software practices

Apply