> Markdown version of [/jobs/ext/4547622-software-engineer-configuration-build-engineering](https://www.wearedevelopers.com/jobs/ext/4547622-software-engineer-configuration-build-engineering). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Software Engineer-Configuration & Build Engineering - **Company:** Interon IT Solutions LLC - **Location:** Rockville, MD, United States - **Salary:** $104,000.0 - $124,800.0 - **Contract:** Temporary contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Cloud Computing, Configuration Management, Software Quality, Computer Programming, Software Debugging, DevOps, Distributed Systems, Python (Programming Language), Release Management, Software Configuration Management, Delivery Pipeline, Git, Cloudformation, Containerization, Kubernetes, Infrastructure Automation Frameworks, Data Analytics, Build Tools, Build Process, Machine Learning Operations, Terraform, Software Version Control, Docker - **Published:** November 3, 2026 - **Apply:** https://www.thejobnetwork.com/job/0fb7cea5-8c66-4262-b533-c88deae4ca62/software-engineerconfiguration-build-engineering ## About the Role 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 * Strong programming experience in Java and/or Python * Hands-on experience with AWS (Amazon Web Services) and cloud-native environments * Expertise in software configuration management and version control systems (e.g., Git) * Experience managing code baselines across development, testing, and release environments * Familiarity with CI/CD pipelines and automated build systems * Strong troubleshooting and debugging skills across distributed systems, * Experience with AI/Machine Learning workflows or model deployment pipelines * 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 ## Description We are seeking a highly skilled Software Engineer with strong expertise in configuration management, build engineering, and cloud-based development environments. This role focuses on ensuring reliable, scalable, and efficient software delivery through modern build pipelines, environment management, and automation practices., * 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 * Contribute to scalable and repeatable engineering practices Collaboration & Communication * Partner with engineering, QA, and platform teams to align build and release processes with project needs * Communicate technical issues and solutions clearly to both technical and non-technical stakeholders * Document processes, configurations, and system changes for transparency and continuity * Provide guidance and informal mentorship to junior team members Process, Quality & Compliance * Participate in continuous improvement initiatives for engineering and delivery processes * Ensure adherence to security, compliance, and governance standards * Maintain high standards for code quality, documentation, and operational excellence * Support audit and compliance requirements through accurate configuration and process documentation What Success Looks Like * Reliable, repeatable, and efficient build and deployment pipelines * Reduced environment inconsistencies and deployment failures * Improved engineering productivity through automation and tooling * Strong collaboration across teams with clear communication and documentation