Aviation Software Engineer Vale Group is actively searching for an experienced Aviation Software Engineer to work remote for an opportunity paying up to $180,000, based on experience. This team builds with an AI-assisted development model, where engineers guide AI coding agents with clear context and then own the review and release of the resulting code. A background in aviation software is key. Two openings are available, with preference for candidates near NYC, though East Coast applicants will be considered. Requirements of the Aviation Software Engineer: Prior experience building aviation software, such as maintenance, compliance, MRO, or fleet and engine data applications strongly preferred Practical, day-to-day use of AI coding agents in production development Experience working in an AI-assisted development lifecycle, framing context and requirements for AI agents and submitting their output as pull requests Solid grasp of modern SDLC practices, including CI/CD build and release pipelines Able to make an impact from day one with minimal ramp-up 5+ years of professional software engineering experience Bachelor's degree in Computer Science, Software Engineering, or a related discipline, or equivalent experience Highly adaptable, with a habit of picking up new tools and workflows quickly as they evolve Knowledge of aircraft maintenance, airworthiness, or regulatory compliance concepts is a plus Sharp review skills, with the ability to evaluate change summaries and catch issues before code moves to deployment
Software: Claude Code (required); OpenAI Codex and Playwright (preferred)
Able to travel domestically 10-15% of the time, with heavier travel expected during the first 30-60 days Responsibilities of the Aviation Software Engineer: Develop and enhance features for flagship aviation software platforms using an AI-assisted workflow Translate business and technical requirements into clear direction for AI coding agents Produce pull requests with concise summaries of each change for team review Review teammates' submissions and approve work for build and deployment Own code quality from initial requirement through release Contribute to automated testing, including end-to-end test coverage Help refine the team's AI-driven development practices as tools and standards evolve Collaborate with engineering peers across the broader product portfolio Support as needed