Overview
On Site
Depends on Experience
Contract - W2
Skills
Proficiency in build automation tools such as Make
Maven
Gradle
or Ant.
Version Control Systems
Scripting Languages
Static and Dynamic Analysis Tools
sdlc
Build Process Optimization
Parallel Computing
Storage Architecture Knowledge
Build Automation
CUDA
Continuous Integration
Continuous Integration and Development
Development Testing
DevOps
Docker
GitLab
Git
GPU
File Systems
C++
C
Kubernetes
Software Configuration
Security Clearance
Programming Languages
Process Optimization
Version Control
Job Details
Software Build Manager / Software Configuration Analyst 3
As a Software Build Manager working for the Glide Phase Interceptor (GPI) Program, you will play a pivotal role in performing software development for our program. This position will serve on-site at Launch Systems in Chandler, AZ.
Responsibilities:
Manage multiple software releases for the GPI program through build automation/pipelines in a Software Factory. Deploy releases onto High Performance Computing (HPC) clusters and assist with data processing, archiving/logging, and analysis.
Basic Qualifications
1. Technical Skills
Build Tools: Proficiency in build automation tools such as Make, Maven, Gradle, or Ant.
Continuous Integration/Continuous Deployment (CI/CD): Experience with CI/CD tools like Jenkins or GitLab CI.
Version Control Systems: Strong knowledge of version control systems, particularly Git, including branching strategies and workflows.
Scripting Languages: Proficiency in scripting languages such as Bash, Python, or Ruby for automating build processes.
Containerization: Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
Static and Dynamic Analysis Tools: Understanding of tools for code quality and security analysis (e.g., SonarQube, Valgrind).
2. Development Skills
Programming Languages: Knowledge of programming languages relevant to the projects (e.g., C/C++, Python).
Software Development Life Cycle (SDLC): Understanding of the software development lifecycle, particularly in agile and DevOps environments.
3. Process Management
Build Process Optimization: Ability to analyze and optimize build processes for efficiency and performance.
Dependency Management: Knowledge of managing dependencies and resolving conflicts in software projects.
Release Management: Experience in managing the release process, including versioning, tagging, and deployment strategies.
4. Collaboration Skills
Cross-Functional Collaboration: Ability to work collaboratively with developers, QA engineers, and operations teams to ensure smooth build and deployment processes.
Documentation: Strong documentation skills to create and maintain build process documentation, guidelines, and best practices.
5. Problem-Solving Skills
Troubleshooting: Strong analytical and troubleshooting skills to diagnose and resolve build and integration issues.
Attention to Detail: A keen eye for detail to identify potential issues in build configurations and scripts.
6. Soft Skills
Communication: Excellent verbal and written communication skills to convey technical concepts to both technical and non-technical stakeholders.
Time Management: Strong organizational skills and the ability to prioritize tasks effectively in a fast-paced environment.
7. Education and Experience
Educational Background: A bachelor s degree in Computer Science, Software Engineering, or a related field.
Experience: Proven experience in software build management, DevOps, or continuous integration roles (typically 3+ years).
Preferred Qualifications
Experience in managing large data sets.
Parallel Computing: Familiarity with parallel programming models like MPI (Message Passing Interface), OpenMP, and CUDA for GPU-based computing.
Performance Optimization: Skills in profiling and optimizing code for better performance on HPC systems (e.g., using tools like Gprof, Valgrind, or Intel VTune).
Storage Architecture Knowledge: Understanding file systems such as Lustre, GPFS, or HDFS and strategies for efficient data storage and retrieval in HPC environments.
Distributed Computing Tools: Familiarity with frameworks such as Hadoop, Spark, or Dask for handling distributed datasets.
Responsibilities:
Manage multiple software releases for the GPI program through build automation/pipelines in a Software Factory. Deploy releases onto High Performance Computing (HPC) clusters and assist with data processing, archiving/logging, and analysis.
Basic Qualifications
1. Technical Skills
Build Tools: Proficiency in build automation tools such as Make, Maven, Gradle, or Ant.
Continuous Integration/Continuous Deployment (CI/CD): Experience with CI/CD tools like Jenkins or GitLab CI.
Version Control Systems: Strong knowledge of version control systems, particularly Git, including branching strategies and workflows.
Scripting Languages: Proficiency in scripting languages such as Bash, Python, or Ruby for automating build processes.
Containerization: Familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes.
Static and Dynamic Analysis Tools: Understanding of tools for code quality and security analysis (e.g., SonarQube, Valgrind).
2. Development Skills
Programming Languages: Knowledge of programming languages relevant to the projects (e.g., C/C++, Python).
Software Development Life Cycle (SDLC): Understanding of the software development lifecycle, particularly in agile and DevOps environments.
3. Process Management
Build Process Optimization: Ability to analyze and optimize build processes for efficiency and performance.
Dependency Management: Knowledge of managing dependencies and resolving conflicts in software projects.
Release Management: Experience in managing the release process, including versioning, tagging, and deployment strategies.
4. Collaboration Skills
Cross-Functional Collaboration: Ability to work collaboratively with developers, QA engineers, and operations teams to ensure smooth build and deployment processes.
Documentation: Strong documentation skills to create and maintain build process documentation, guidelines, and best practices.
5. Problem-Solving Skills
Troubleshooting: Strong analytical and troubleshooting skills to diagnose and resolve build and integration issues.
Attention to Detail: A keen eye for detail to identify potential issues in build configurations and scripts.
6. Soft Skills
Communication: Excellent verbal and written communication skills to convey technical concepts to both technical and non-technical stakeholders.
Time Management: Strong organizational skills and the ability to prioritize tasks effectively in a fast-paced environment.
7. Education and Experience
Educational Background: A bachelor s degree in Computer Science, Software Engineering, or a related field.
Experience: Proven experience in software build management, DevOps, or continuous integration roles (typically 3+ years).
Preferred Qualifications
Experience in managing large data sets.
Parallel Computing: Familiarity with parallel programming models like MPI (Message Passing Interface), OpenMP, and CUDA for GPU-based computing.
Performance Optimization: Skills in profiling and optimizing code for better performance on HPC systems (e.g., using tools like Gprof, Valgrind, or Intel VTune).
Storage Architecture Knowledge: Understanding file systems such as Lustre, GPFS, or HDFS and strategies for efficient data storage and retrieval in HPC environments.
Distributed Computing Tools: Familiarity with frameworks such as Hadoop, Spark, or Dask for handling distributed datasets.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.