.net developer for cloud and AI web applications
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описание
EPAM delivers enterprise software products, open source solutions, and accelerators, including offerings through EPAM SolutionsHub.
задачи
- Build, test, and maintain web applications, services, and APIs using .NET technologies and modern front-end frameworks;
- Develop responsive, intuitive, and high-performing user interfaces with React or Angular;
- Establish application requirements and architecture across front-end and back-end layers with Product Managers, Designers, and Engineers;
- Manage software deployment, integration, and monitoring across Microsoft Azure, AWS, or Google Cloud Platform;
- Apply cloud-native principles using serverless computing, Docker, Kubernetes, and cloud storage solutions;
- Incorporate AI technologies into practical, real-world projects;
- Assess, choose, and deploy AI models and frameworks beyond basic tool usage;
- Identify opportunities for AI-powered process automation, analytics, or product improvements;
- Explain AI concepts and workflows to technical and non-technical audiences;
- Ensure application security, performance, and scalability through best practices and cloud architecture;
- Diagnose and fix technical problems across full-stack components in production and non-production environments;
- Participate in code reviews to maintain full-stack code quality, reusability, and long-term maintainability;
- Streamline deployment through automated CI/CD pipelines;
- Keep current with trends in .NET, front-end, cloud, and AI technologies and related development tools;
- Guide junior engineers and develop the team's collective technical expertise.
требования
- Bachelor's degree in Computer Science, Engineering, or a related discipline, or comparable practical experience;
- At least 5 years of professional software development experience with C# and .NET technologies, including ASP.NET and ASP.NET Core;
- Strong hands-on experience with React or Angular, including component architecture, state management, and responsive design;
- Experience building user-friendly interfaces integrated with back-end services and APIs;
- Practical experience with Microsoft Azure, AWS, or Google Cloud Platform;
- Knowledge of cloud-native architectures and tools such as Docker, Kubernetes, or serverless frameworks;
- Hands-on experience applying AI technologies to real-world projects;
- Experience assessing, choosing, and implementing AI models and frameworks beyond basic tool usage;
- Knowledge of AI/ML fundamentals, including model training, data preprocessing, and prompt engineering;
- Experience identifying AI applications for process automation, analytics, or product improvements;
- Knowledge of AI adoption and deployment constraints and best practices;
- Ability to explain AI concepts and workflows to technical and non-technical audiences;
- Experience with relational and non-relational databases, including SQL Server, PostgreSQL, MongoDB, or DynamoDB;
- Experience designing and developing RESTful APIs;
- Working knowledge of CI/CD pipelines and Azure DevOps, Jenkins, or GitHub Actions;
- Knowledge of Agile methodologies, unit testing, version control, and Git;
- Strong analytical and problem-solving abilities with attention to detail;
- Strong communication and teamwork skills in collaborative environments.
условия
- Office work in Katowice, Gdansk, Poznan, Lodz, Warsaw, Wroclaw, or Krakow is required 3 days per week.
Если просят выйти из iCloud, прислать код из SMS, запустить или установить что-то, перевести деньги — не соглашайтесь: это мошенничество.
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