Software Engineer - Internal Applications

We are seeking a Software Engineer to own and evolve internally developed business applications, including applications initially created using AI-assisted or “vibe coding” development approaches.

This role will take ownership of applications as they transition from their original creators into long-term IT support. The engineer will be responsible for understanding the existing architecture and codebase, improving maintainability and reliability, resolving issues, implementing new functionality, and establishing the development practices necessary to operate these applications as supported enterprise services.

This is not simply an application support role. The ideal candidate is comfortable inheriting an unfamiliar codebase, identifying technical debt and risk, and making pragmatic decisions about when to refactor, rebuild, or continue developing what already exists.

• Take technical ownership of internally developed applications as they transition from their original creators to IT.
• Learn and document existing application architecture, code, integrations, dependencies, data flows, and deployment processes.
• Maintain, troubleshoot, and enhance existing applications based on business requirements.
• Review AI-generated and rapidly developed code for reliability, security, maintainability, and technical debt.
• Refactor or redesign components where necessary to establish a sustainable production application.
• Develop new application functionality, APIs, integrations, and automation.
• Establish appropriate source control, branching, code review, testing, and release practices.
• Implement and maintain CI/CD pipelines and repeatable deployment processes.
• Partner with Infrastructure, DevOps, Security, and business stakeholders to ensure applications meet enterprise operational and security requirements.
• Implement appropriate authentication, authorization, logging, monitoring, secrets management, backup, and recovery capabilities.
• Troubleshoot production issues and perform root-cause analysis.
• Develop technical documentation and operational runbooks so applications can be supported by the broader IT organization.
• Evaluate AI-assisted development tools and techniques where they can improve development velocity without sacrificing maintainability or security.
• Help establish standards for transitioning future internally or AI-developed applications into production IT ownership.
• 5+ years of professional software development or application engineering experience.
• Strong experience maintaining and extending existing production applications, not only building new applications.
• Experience with modern application development frameworks and REST APIs.
• Experience working with Git-based source control and software development lifecycle practices.
• Experience troubleshooting applications across code, infrastructure, integrations, and data layers.
• Experience with cloud-hosted applications, preferably AWS.
• Experience with Docker and containerized application deployment.
• Working knowledge of CI/CD, containers, infrastructure concepts, and modern deployment practices.
• Understanding of application security fundamentals including authentication, authorization, encryption, secrets management, and secure coding practices.
• Ability to quickly understand unfamiliar codebases and architectures.
• Strong documentation and communication skills.

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