.NET Engineer

Cashback24x7; India; A distancia; INR 5.174.000 - 10.348.000; A tiempo parcial

Ventajas ofrecidas por este puesto de trabajo

Remote work

Descripción de la vacante

Cashback24x7 is seeking a remote .NET Engineer contractor to help train next-gen AI systems. You will apply deep .NET/C# expertise to produce high-quality input data and guide model improvements. This role emphasizes delivering maintainable backend code and clear technical documentation.

You will work with global teams, evaluate model outputs, and share best practices for scalable cloud-backed architectures, while communicating complex concepts to stakeholders.

Formación

• Extensive hands-on experience with .NET and C# in production environments.
• Demonstrated expertise with AWS and Azure cloud platforms.
• Strong problem-solving skills and the ability to break down complex technical issues.
• Exceptional written and verbal communication skills, with attention to detail.
• Ability to work independently in a remote setting while collaborating effectively with the customer’s team.
• Proven track record of delivering high-quality, maintainable back-end solutions.
• Up-to-date knowledge of industry standards, tools, and frameworks in the .NET ecosystem.

Responsabilidades

• Provide domain-specific feedback and solutions using .NET and C#.
• Evaluate and enhance model outputs related to .NET, C#, AWS, and Azure.
• Collaborate remotely with a global team to improve AI systems.
• Write, review, and optimize code, diagrams, and docs for AI training data.
• Share best practices on scalable backend development, cloud integration, and modern app design.
• Communicate complex technical concepts clearly to technical and non-technical stakeholders.
• Identify gaps in model understanding and propose real-world engineering solutions.

Conocimientos

NET/C# production experience

AWS/Azure cloud platforms

Problem solving

Written and verbal communication

Remote collaboration

Backend systems delivery

.NET ecosystem knowledge

Descripción del empleo

Job Title: .NET Engineer

Job Type: Contractor

Location: Remote

Job Summary:

In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

• Leverage your deep knowledge of .NET and C# to provide domain-specific feedback and solutions to diverse technical challenges.
• Evaluate, analyze, and enhance model outputs related to .NET, C#, AWS, and Azure ecosystems.
• Collaborate remotely with a global team of experts, contributing your insights to drive continuous improvement of AI systems.
• Write, review, and optimize code snippets, architectural diagrams, and technical documentation to ensure high-quality input data for AI training.
• Share best practices related to scalable backend development, cloud integration, and modern application design.
• Communicate complex technical concepts clearly in written and verbal form to both technical and non-technical stakeholders.
• Identify potential gaps in model understanding and suggest solutions based on real-world engineering experience.

Required Skills and Qualifications:

Extensive hands‑on experience with .NET and C# in production environments.

Demonstrated expertise with AWS and Azure cloud platforms.

Strong problem‑solving skills and the ability to break down complex technical issues.

Exceptional written and verbal communication skills, with a keen attention to detail.

Ability to work independently in a remote setting while collaborating effectively with the customer’s team.

Proven track record of delivering high‑quality, maintainable solutions for backend systems.

Up‑to‑date knowledge of industry standards, tools, and frameworks in the .NET ecosystem.

Preferred Qualifications:

• Prior experience contributing to AI, machine learning, or data‑driven projects.
• Experience working with distributed teams on large- scale cloud applications.
• Familiarity with DevOps practices and CI/CD pipelines in .NET environments.