Senior .NET Engineer with AI

EPAM is a global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, they empower clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.

• Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
• 5+ years of professional experience in software development using C# and .NET technologies (ASP.NET, ASP.NET Core)
• Hands-on experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform
• Strong understanding of cloud-native architectures and tools like Docker, Kubernetes, or serverless frameworks
• Demonstrated hands-on experience integrating and leveraging AI technologies in real-world projects
• Ability to evaluate, select, and implement AI models and frameworks beyond basic tool usage
• Strong understanding of AI/Machine Learning concepts such as model training, data preprocessing, and prompt engineering
• Proven track record of identifying opportunities to apply AI for process automation, analytics, or product enhancement
• Familiarity with limitations and best practices in AI adoption and deployment
• Capacity to explain AI concepts and workflows to both technical and non-technical stakeholders
• Proficiency with relational and non-relational databases such as SQL Server, PostgreSQL, MongoDB, or DynamoDB
• Hands-on experience with RESTful API design and development
• Familiarity with CI/CD pipelines and tools such as Azure DevOps, Jenkins, or GitHub Actions
• Solid understanding of software development best practices, such as Agile methodologies, unit testing, and version control (Git)
• Excellent problem-solving and analytical skills with strong attention to detail
• Effective communication and collaboration skills in a team-oriented environment

Nice to have:

• Experience with frontend technologies such as React or Angular

• Design, develop, test, and maintain web-based applications, services, and APIs using .NET technologies (C#, ASP.NET Core)
• Collaborate with Product Managers, Designers, and other Engineers to define application requirements and architecture
• Deploy, integrate, and monitor software on cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform
• Implement cloud-native principles, leveraging technologies like serverless computing, containers (Docker, Kubernetes), and cloud storage solutions
• Integrate and leverage AI technologies in real-world 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 both technical and non-technical stakeholders
• Ensure applications are secure, high-performing, and scalable by implementing best practices in security, performance optimization, and cloud architecture
• Troubleshoot and resolve technical issues across production and non-production environments
• Participate in code reviews to ensure code quality, reusability, and maintainability
• Automate CI/CD pipelines to streamline deployment processes and enable continuous delivery of new features
• Stay updated on the latest trends in .NET frameworks, cloud and AI technologies, and relevant development tools
• Mentor junior engineers and contribute to the technical knowledge base of the team

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