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Software Engineer I
CaseWorthy, Inc.Early-career Software Engineer building full-stack features on a cloud-native stack for human-services organizations. Collaborating with teams to enhance AI-driven solutions.
Posted 7/17/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $75,000 - $125,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in full-stack development using React, .NET, and Node.js within a cloud-native microservice architecture on Azure. Proficient in applying design patterns and AI coding tools to ensure high-quality, maintainable software solutions.
Highest-signal resume keywords
Full-Stack DevelopmentAI Coding Tools ExperienceDesign Patterns (SOLID/DRY)Relational Databases (SQL)Clear Communication
ATS Keywords
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Hard Skills
React.NETNode.jsJavaPythonC#RESTJSONObject-Oriented ProgrammingGit
Soft Skills
Clear CommunicationCuriosityAdaptability
Tools & Technologies
AzureAI Coding Tools (Copilot, Claude, Cursor, ChatGPT)
Certifications & Qualifications
Degree in Computer ScienceSoftware Engineering
Industry Keywords
Microservice ArchitectureCloud-NativeSoftware DevelopmentCode ReviewTesting (Unit, Integration, Regression)
Tech Stack
Tools & technologiesAzureCloudJavaJavaScript.NETNode.jsOpen SourcePythonReactSQL
About the role
Key responsibilities & impact- Build full-stack features on our go-forward platform: React on the front end, .NET and Node.js services, in a cloud-native microservice architecture on Azure.
- Use AI coding tools and agents (like Claude Code) to help generate, test, and refactor code across the development cycle — guiding the work and owning the result.
- Apply real design judgment — architecture, service boundaries, and design patterns (SOLID/DRY) — to build software that’s extensible, reusable, and built to last.
- Take part in technical design — help shape how the features and components you work on get built.
- Review and validate code and tests (including AI-generated ones) for correctness, security, and performance — partnering with the team to make sure what ships is solid and high quality.
- Write and validate tests across unit, integration, and regression — including the edge cases that break things.
- Turn product specs into clear, well-scoped work, and ask sharp questions early when something’s unclear.
- Collaborate and keep learning — with Product, UX, QA, and DevOps — as our tools and practices evolve.
Requirements
What you’ll need- A degree in Computer Science, Software Engineering, or a related field — finished or finishing — or equivalent hands-on experience.
- Hands-on programming experience in a modern language like Java, Python, C#, or JavaScript/Node — front-end and back-end / API work (REST, JSON).
- Engineering fundamentals: object-oriented programming and an eye for clean design (design patterns, SOLID/DRY), plus working knowledge of relational databases, SQL, and Git.
- Real experience using AI coding tools (Copilot, Claude, Cursor, ChatGPT, and the like) to build, test, or debug — from coursework, internships, capstones, personal projects, hackathons, or open source.
- Good judgment about code: you can read code you didn’t write — including an agent’s — and spot when it’s wrong.
- Clear communication: you can define a problem clearly and explain your technical work to teammates.
- Curiosity, adaptability, and eagerness to pick up new technologies and tools quickly.
Benefits
Comp & perks- Ability to travel nationwide, up to 10% annually