Interon IT Solutions
Software Engineer-Configuration & Build Engineering
McLean, Virginia · Junior
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About the role
- Strong programming experience in Java and/or Python
- Expertise in software configuration management and version control systems (e.g., Git)
Responsibilities
- This role focuses on ensuring reliable, scalable, and efficient software delivery through modern build pipelines, environment management, and automation practices.
- We are seeking a highly skilled Software Engineer with strong expertise in configuration management, build engineering, and cloud-based development environments.
- Familiarity with CI/CD pipelines and automated build systems
- Manage and maintain code baselines, build pipelines, and environment configurations across development and test environments
- Design and optimize automated build, integration, and deployment processes
- Analyze and resolve build, configuration, and environment-related issues
- Recommend and implement improvements to configuration management systems and delivery workflows
- Support release management activities, ensuring stability and consistency across environments
- Partner with engineering, QA, and platform teams to align build and release processes with project needs
- Document processes, configurations, and system changes for transparency and continuity
Requirements
- The ideal candidate brings a blend of development experience (Java/Python) and DevOps/configuration management expertise, with the ability to troubleshoot complex systems and continuously improve engineering workflows.
- Required Technical Skills
- Hands-on experience with AWS (Amazon Web Services) and cloud-native environments
- Only Local candidates who are in DC/VA/MD who can take Assessment before Submission and also required for F2F interview
Nice to have
- Exposure to infrastructure-as-code tools (e.g., Terraform, CloudFormation)
- Familiarity with containerization and orchestration (e.g., Docker, Kubernetes)
- Experience working in data-driven or analytics-heavy environments
- Core Responsibilities
- Contribute to scalable and repeatable engineering practices
- Collaboration & Communication
- Communicate technical issues and solutions clearly to both technical and non-technical stakeholders
- Provide guidance and informal mentorship to junior team members
Skills
- Strong troubleshooting and debugging skills across distributed systems
Benefits
- Experience with AI/Machine Learning workflows or model deployment pipelines
This listing is sourced directly from Interon IT Solutions's careers page and normalized into a canonical job model.