The Judge Group

DevOps Engineer

⭐ - 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.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
November 12, 2025
πŸ•’ - Duration
More than 6 months
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Yes
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πŸ“ - Location detailed
Chandler, AZ
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🧠 - 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 bachelor’s 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).