Software Engineer – Entry Level

General Dynamics Mission Systems, Inc•Port Orchard, WA

1d•$77,843 - $86,358•Onsite

About The Position

As an Infrastructure Software Engineer / Administrator supporting Surface Ship Systems Programs, you will be an integral member of an agile engineering team committed to delivering robust, secure, and scalable infrastructure solutions for U.S. Navy surface ships. In this role, you will design and configure software solutions to address complex integration challenges, conduct manual testing and debugging in production-like lab environments, and develop clear technical documentation in support of a rigorous systems engineering process. You will participate in daily team collaboration to ensure commitments to the U.S. Navy mission are met with consistency and quality.

Requirements

Bachelor's degree in Software Engineering, or Engineering, Science, or Math.
Department of Defense Secret security clearance is preferred at time of hire.
Applicants selected will be subject to a U.S. Government security investigation and must meet eligibility requirements for access to classified information.
Due to the nature of work performed within our facilities, U.S. citizenship is required.
Foundational understanding of software integration concepts, including the ability to diagnose and resolve issues across multi-component systems
Working knowledge of Linux and/or Windows server environments, including configuration and basic administration
Experience with or strong aptitude for scripting languages (Bash, PowerShell) and automation frameworks (Ansible)
Familiarity with containerization technologies (Docker, Kubernetes, Zarf, or similar)
Experience with or exposure to CI/CD pipelines, particularly GitLab
Ability to clearly document technical processes, test results, and system configurations
Strong attention to detail in both testing and professional communications
Ability to work effectively in an Agile team environment using tools such as Jira and Confluence
Foundational understanding of cybersecurity principles and vulnerability management practices
Emerging awareness of AI/ML tools and their applicability in engineering and DevSecOps contexts

Nice To Haves

Familiarity with Linux Server and/or Microsoft Windows Desktop and Server technologies
Experience with scripting and automation tools such as PowerShell, Bash, and Ansible
Experience designing, configuring, and securing virtual machines using VMware or Proxmox
HTML is beneficial for contributing to web-based documentation and reporting interfaces.
Clear understanding of systems engineering concepts, principles, theories, and technical standards
Information Technology (IT) skills or experience, including systems administration, scanning/vulnerability management, and supporting end-users
CompTIA Security+ Certification (or ability to obtain)
Creative thinker with ability to grasp and apply new information quickly and handle increasing responsibilities with growing complexity
Strong problem solving and troubleshooting skills
Team player who thrives in collaborative environments and revels in team success
Strong presentation and communication skills, both oral and written
Commitment to ongoing professional development for yourself and others
Identifies opportunities to apply AI for continuous improvement and innovation

Responsibilities

Package, deploy, and maintain containerized applications using tools such as Zarf and related container orchestration frameworks.
Deliver updates to systems through scripted and automated pipelines in support of continuous integration and delivery workflows.
Develop and maintain automation scripts using Bash, PowerShell, and GitLab CI/CD pipelines to streamline integration, deployment, and system administration tasks.
Engage in frequent, professional written communication with internal teams and external stakeholders via email and collaborative platforms.
Maintain and contribute to project documentation, task tracking, and reporting using Jira and Confluence.
Author and maintain clear, accurate technical documentation, integration reports, and in-application metrics dashboards.
Working familiarity with one or more of the following languages/frameworks is advantageous for debugging and integration support purposes: Java, Vue.js, .NET MAUI, and/or Go. HTML familiarity is also helpful given documentation and reporting requirements.
Identify and apply AI tools and technologies to improve engineering workflows, testing efficiency, integration processes, and continuous improvement initiatives.
Perform manual testing, debugging, and validation of software applications and integrated systems within a production-like lab environment.
Identify, document, and track defects through to resolution to ensure system reliability and readiness.