Senior .NET Engineer with AI

EPAM Systems is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and startups. They have over thirty years of expertise in custom software, product and platform engineering, empowering clients to become AI-Native enterprises.

• Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent practical experience
• 5+ years professional experience with C# and .NET technologies (ASP.NET, ASP.NET Core)
• Hands-on experience with cloud platforms like Microsoft Azure, AWS, or Google Cloud Platform
• Strong understanding of cloud-native architectures and tools such as Docker, Kubernetes, and serverless frameworks
• Demonstrated experience integrating and leveraging AI technologies in real projects
• Ability to evaluate, select, and implement AI models and frameworks
• Strong understanding of AI/ML concepts including model training, data preprocessing, and prompt engineering
• Proven ability to identify AI opportunities for automation, analytics, or product enhancement
• Familiarity with AI limitations and best practices
• Ability to explain AI concepts to diverse audiences
• Proficiency with relational and non-relational databases such as SQL Server, PostgreSQL, MongoDB, or DynamoDB
• Experience with RESTful API design and development
• Familiarity with CI/CD pipelines and tools such as Azure DevOps, Jenkins, or GitHub Actions
• Knowledge of Agile methodologies, unit testing, and version control (Git)
• Excellent problem-solving and analytical skills
• Effective communication and collaboration skills

• Design, develop, test, and maintain web-based applications, services, and APIs using .NET technologies (C#, ASP.NET Core)
• Collaborate with Product Managers, Designers, and Engineers to define application requirements and architecture
• Deploy, integrate, and monitor software on cloud platforms including Microsoft Azure, AWS, and Google Cloud Platform
• Implement cloud-native principles using technologies like serverless computing, containers (Docker, Kubernetes), and cloud storage
• Integrate and leverage AI technologies in projects
• Evaluate, select, and implement AI models and frameworks beyond basic tool usage
• Identify opportunities to apply AI for process automation, analytics, or product enhancement
• Explain AI concepts and workflows to technical and non-technical stakeholders
• Ensure applications are secure, high-performing, and scalable
• Troubleshoot and resolve technical issues in production and non-production environments
• Participate in code reviews to ensure quality, reusability, and maintainability
• Automate CI/CD pipelines to enable continuous delivery
• Stay updated on trends in .NET, cloud, and AI technologies
• Mentor junior engineers and contribute to the team’s technical knowledge base

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