Full Stack Software Engineer (.NET / C# & React)
First seen by Alion on Nov 3, 2026.
Compensation: USD $23–26/hour (approximately $3,680–$4,160/month)
About the RoleWe are looking for an experienced Full Stack Software Engineer with strong expertise in .NET (C#) and React/JavaScript to join an innovative engineering team building scalable, high-quality web applications.
The ideal candidate is comfortable working across both front-end and back-end development, takes ownership of their work, and enjoys solving complex technical challenges.
This is an AI-first engineering environment where AI-assisted and agentic development are integral to the software development process. You should have hands-on experience leveraging AI coding assistants and autonomous agents to accelerate development, improve efficiency, and deliver reliable solutions.
Beyond using AI tools, you must be able to critically evaluate, test, and take ownership of AI-generated code, ensuring it meets production standards.
Key ResponsibilitiesDesign, develop, and maintain scalable web applications using .NET (C#) and React/JavaScript.
Build responsive front-end experiences and reliable back-end services.
Develop and integrate RESTful APIs and third-party services.
Leverage AI coding assistants and agentic workflows throughout the development lifecycle.
Review, debug, test, and validate AI-generated code to ensure quality, security, and maintainability.
Collaborate with engineering and cross-functional teams to design and deliver new features.
Participate in code reviews and follow established development standards.
Troubleshoot technical issues and optimize application performance.
Maintain technical documentation and contribute to continuous improvement initiatives.
Stay current with emerging technologies, development practices, and AI-powered engineering tools.
5+ years of professional experience in full-stack software development.
Strong proficiency in .NET (C#) and experience developing back-end applications.
Solid front-end development skills with React, JavaScript, HTML, and CSS.
Hands-on professional experience using AI coding assistants and/or agentic development tools to build, debug, and improve software.
Experience designing and integrating RESTful APIs.
Familiarity with SQL and NoSQL databases and data modeling.
Proficiency with Git and version control workflows.
Understanding of web application security best practices.
Strong problem-solving skills and the ability to work independently.
Excellent communication and collaboration skills.
Ability to adapt to new technologies and continuously develop technical skills.
Bachelor's degree in Computer Science, Software Engineering, or a related field (or equivalent professional experience).
Experience customizing AI development workflows, including custom prompts, tool integrations, or multi-agent systems.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Familiarity with Docker, Kubernetes, or other containerization technologies.
Understanding of CI/CD pipelines and DevOps practices.
Engagement: International Independent contractor
Compensation: USD $23–26/hour (approximately $3,680–$4,160/month).
Timesheets: Hours worked must be documented and submitted through timesheets.
Time Off: Days off, sick days, and local public holidays are unpaid and non-billable. There may be opportunities to work on certain holidays.
Equipment: The company will provide and ship the required hardware.
Expected Start Date: Approximately four weeks after signing the offer to allow for equipment shipment and setup.
Candidates can expect the following steps:
Latino Legends Application: Complete our application for through our website.
Recorded Screening Questionnaire: Short recorded responses to help us assess your experience and communication skills. Successful candidates will be submitted to the client's ATS.
Initial Technical Challenge: A one-hour technical exercise. Candidates are not expected to complete the entire task; the goal is to demonstrate their approach and problem-solving skills.
Hiring Manager Interview: Discuss your technical challenge, approach, and implementation decisions.
Peer Interview: Meet with members of the engineering team.
Final Interview: Conversation with the SVP of Engineering.
Reference Checks: Successful finalists will be asked to provide 2–3 professional references from previous supervisors, managers, or team leaders before the formal offer is issued.
Ready to take the next step in your engineering career? Apply through Latino Legends!
Originally posted on Himalayas