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# Software Engineer III (AI-Powered)

- **Company:** Planet DDS
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $101,000.0 - $135,000.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Artificial Intelligence, Automation of Tests, Software as a Service, Continuous Integration, Cursor (Graphical User Interface Elements), Software Debugging, Software Design Patterns, DevOps, Medical Software, Commercial Software, Systems Development Life Cycle, Strategies of Testing, ReactJS, Solid Principles, Software Coding
- **Published:** August 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=868d41bacaea9833

## About the Role

* 5-7 years of commercial software engineering experience, with a track record of shipping and maintaining production systems
 * Deep understanding of software engineering fundamentals: OOP, design patterns, SOLID principles, testing strategies, and writing code that others can maintain
 * Demonstrated experience using AI coding tools (Claude Code, Cursor, Copilot, or similar) as a core part of your workflow - you should be able to explain how you approach complex problems differently with these tools
 * Ability to work effectively across the stack; .NET and React experience highly preferred, but excellent fundamentals in other modern stacks are valuable
 * Experience with CI/CD, automated testing, and shipping code frequently with confidence
 * Strong communication skills and a genuine interest in helping teammates grow
 * Comfort with ambiguity and rapid iteration - you ship, learn, and adapt

Preferred:

 * Experience in a SaaS or healthcare software environment
 * Exposure to DevOps practices and infrastructure-as-code
 * Experience working in agile teams with short iteration cycles

## Description

* Own delivery of features end-to-end: from technical design through implementation, testing, and deployment
 * Architect solutions that are maintainable, scalable, and aligned with our product direction
 * Use AI-assisted development tools strategically across the full SDLC - planning work with AI agents, generating and refining code, creating comprehensive test coverage, and accelerating debugging
 * Mentor engineers on effective AI-assisted workflows; help establish team-wide patterns and practices
 * Contribute to technical direction within your pod and across the broader engineering organization
 * Drive improvements to our development processes, tooling, and CI/CD pipelines
 * Collaborate closely with product and design to balance technical quality with delivery speed


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