Title: Software Engineer (Full Stack)
Company: DISCUS Software Company (Valstone Portfolio)
Location: This position is open to remote (across the USA only) and hybrid (Beavercreek, Ohio) candidates.
DISCUS Software Company is seeking a highly skilled and experienced Full Stack Software Engineer to join our growing engineering team. This role is well-suited for a self-motivated professional who excels at translating ambiguous or evolving requirements into scalable, maintainable, and high-quality software solutions.
The selected candidate will contribute across both desktop (Windows-based) and cloud-native platforms, supporting mission-critical applications within the aerospace compliance domain. This position requires a strong foundation in modern software engineering practices, sound architectural judgment, and a commitment to delivering robust, secure, and well-tested systems.
Responsibilities
Full Stack Development
• Design, develop, and maintain desktop and web-based applications.
• Architect and build scalable cloud-based services on Azure and AWS.
• Develop and maintain microservices using Java and the Spring Boot framework.
• Design and implement RESTful APIs, API gateways, task queues, and event-driven systems.
• Apply object-oriented design principles (e.g., SOLID) and established design patterns to produce maintainable and extensible code.
• Collaborate effectively within an Agile development environment alongside product and engineering stakeholders.
Quality and Code Standards
• Diagnose, troubleshoot, and resolve complex technical issues across distributed systems.
• Produce clean, well-structured, and thoroughly documented code.
• Participate in and contribute to rigorous code reviews, with a strong emphasis on quality, testability, and long-term maintainability.
DevOps and Infrastructure
• Contribute to CI/CD pipelines and deployment automation processes.
• Ensure secure handling of sensitive company and customer data in accordance with industry best practices.
Qualifications
• Experience — Minimum of 4 years of professional software development experience.
• Java and Spring Boot — Strong proficiency in Java and the Spring Boot ecosystem, with demonstrated expertise in object-oriented programming and SOLID design principles.
• Distributed Systems — Experience designing and building scalable, distributed systems utilizing event-driven architecture patterns. Strong understanding of RESTful API design and microservices architecture.
• Cloud and DevOps — Hands-on experience with Azure and/or AWS. Experience with CI/CD tools such as Jenkins, GitHub Actions, or similar platforms.
• Databases — Proficiency with relational and non-relational databases (e.g., MySQL, Oracle, PostgreSQL, MongoDB).
• Frontend — Experience with frontend technologies such as AngularJS, JavaFX, or comparable frameworks. Familiarity with Git, Maven, Node.js, HTML, CSS, and JavaScript.
• Independence — Proven ability to work independently and deliver results with minimal supervision.
Preferred Qualifications
• Familiarity with additional design patterns (e.g., Factory, Strategy, Observer, CQRS).
• Experience working within Agile methodologies and tools such as Jira.
• Prior experience mentoring or supporting other engineers.
• Exposure to modern AI-assisted development tools (e.g., Windsurf, Claude Code) and experience reviewing, validating, and improving AI-generated code.
• Experience in manufacturing or quality engineering environments, with familiarity in First Article Inspection (FAI), AS9102 standards, or similar inspection and compliance workflows.
• Hands-on involvement with quality processes such as inspection planning, nonconformance tracking, and integration of engineering data (e.g., CAD, BOMs) into quality assurance systems.
What We Value
We are looking for individuals with strong integrity, sound judgment, curiosity, and excellent communication skills. The ideal candidate challenges assumptions, makes thoughtful decisions, and consistently acts in the best interest of the business and team. They embrace modern development practices, including AI-assisted coding, while maintaining a high bar for correctness, testing, and long-term maintainability.