.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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