

The Judge Group
DevOps Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a DevOps Engineer in Chandler, AZ, with a contract duration of 1+ years and a pay rate of "TBD." Key skills include CI/CD, scripting (Bash, Python), containerization (Docker, Kubernetes), and security clearance (Secret) is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
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ποΈ - Date
November 12, 2025
π - Duration
More than 6 months
-
ποΈ - Location
On-site
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π - Contract
Unknown
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π - Security
Yes
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π - Location detailed
Chandler, AZ
-
π§ - Skills detailed
#GIT #Programming #Continuous Deployment #Computer Science #Storage #Scripting #SonarQube #Deployment #HDFS (Hadoop Distributed File System) #Security #Bash #GitLab #Ruby #Datasets #Distributed Computing #Maven #DevOps #Version Control #Data Storage #Kubernetes #C++ #Jenkins #Python #Docker #Hadoop #Automation #Spark (Apache Spark)
Role description
Title : Software/ DevOps Engineer
Location: Chandler, AZ onsite Open for relocation candidates
Duration of project : Contract | 1+ Years
Security Clearance: Yes Secret
Description
β’ Build Tools: Proficiency in build automation tools such as Make, Maven, Gradle, or Ant.
β’ Continuous Integration/Continuous Deployment (CI/CD): Experience with CI/CD tools like Jenkins or GitLab CI.
β’ Version Control Systems: Strong knowledge of version control systems, particularly Git, including branching strategies and workflows.
β’ Scripting Languages: Proficiency in scripting languages such as Bash, Python, or Ruby for automating build processes.
β’ Containerization: Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
β’ Static and Dynamic Analysis Tools: Understanding of tools for code quality and security analysis (e.g., SonarQube, Val grind).
β’ Programming Languages: Knowledge of programming languages relevant to the projects (e.g., C/C++, Python).
Preferred Qualifications
β’ Experience in managing large data sets.
β’ Parallel Computing: Familiarity with parallel programming models like MPI (Message Passing Interface), OpenMP, and CUDA for GPU-based computing.
β’ Performance Optimization: Skills in profiling and optimizing code for better performance on HPC systems (e.g., using tools like Gprof, Valgrind, or Intel VTune).
β’ Storage Architecture Knowledge: Understanding file systems such as Lustre, GPFS, or HDFS and strategies for efficient data storage and retrieval in HPC environments.
β’ Distributed Computing Tools: Familiarity with frameworks such as Hadoop, Spark, or Dask for handling distributed datasets.
Education and Experience
Β· A bachelorβs degree in Computer Science, Software Engineering, or a related field.
Β· Experience: Proven experience in software build management, DevOps, or continuous integration roles (typically 3+ years).
Title : Software/ DevOps Engineer
Location: Chandler, AZ onsite Open for relocation candidates
Duration of project : Contract | 1+ Years
Security Clearance: Yes Secret
Description
β’ Build Tools: Proficiency in build automation tools such as Make, Maven, Gradle, or Ant.
β’ Continuous Integration/Continuous Deployment (CI/CD): Experience with CI/CD tools like Jenkins or GitLab CI.
β’ Version Control Systems: Strong knowledge of version control systems, particularly Git, including branching strategies and workflows.
β’ Scripting Languages: Proficiency in scripting languages such as Bash, Python, or Ruby for automating build processes.
β’ Containerization: Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
β’ Static and Dynamic Analysis Tools: Understanding of tools for code quality and security analysis (e.g., SonarQube, Val grind).
β’ Programming Languages: Knowledge of programming languages relevant to the projects (e.g., C/C++, Python).
Preferred Qualifications
β’ Experience in managing large data sets.
β’ Parallel Computing: Familiarity with parallel programming models like MPI (Message Passing Interface), OpenMP, and CUDA for GPU-based computing.
β’ Performance Optimization: Skills in profiling and optimizing code for better performance on HPC systems (e.g., using tools like Gprof, Valgrind, or Intel VTune).
β’ Storage Architecture Knowledge: Understanding file systems such as Lustre, GPFS, or HDFS and strategies for efficient data storage and retrieval in HPC environments.
β’ Distributed Computing Tools: Familiarity with frameworks such as Hadoop, Spark, or Dask for handling distributed datasets.
Education and Experience
Β· A bachelorβs degree in Computer Science, Software Engineering, or a related field.
Β· Experience: Proven experience in software build management, DevOps, or continuous integration roles (typically 3+ years).





