Senior Backend Engineer

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  • Киев
  • Постоянная работа
  • Полная занятость
  • 2 мес. назад
  • Быстрый отклик
The company transforming guest experiences across attractions and entertainment spaces. Our cloud-native, AI-driven platform engages millions of users worldwide with next-generation digital media solutions—and we're rapidly growing!Position Overview: We are seeking an experienced Full Stack Developer who thrives on building clean, scalable systems using modern development tools like Cursor and GitHub Copilot. Join our dynamic team and help shape innovative solutions that power unforgettable guest experiences.Responsibilities:
  • Develop and scale full-stack applications using Node.js, TypeScript, React, and NestJS.
  • Architect robust, cloud-native services leveraging AWS Lambda, API Gateway, DynamoDB, and Cognito.
  • Deploy and manage services using Serverless Framework, emphasizing rapid CI/CD cycles.
  • Utilize Cursor and GitHub Copilot to expedite feature delivery, enhance test coverage, and maintain superior code quality.
  • Collaborate cross-functionally with Product, DevOps, and Architecture teams to drive cohesive solutions.
  • Uphold high engineering standards through meticulous code reviews, comprehensive testing, and proactive performance optimization.
  • 5+ years of professional experience in full-stack development.
  • Proficiency in Node.js, TypeScript, NestJS.
  • Expertise in React and modern frontend technologies.
  • Solid experience with AWS services including Lambda, API Gateway, DynamoDB, and Cognito.
  • Strong knowledge in REST or GraphQL API design.
  • Skilled in Serverless deployments, Git workflows, and Agile methodologies.
  • Familiarity and responsible usage of Cursor and GitHub Copilot for optimal coding practices.
Preferred Experience (Bonus Points):
  • Experience with MongoDB, PostgreSQL, or hybrid database architectures.
  • Familiarity with Docker, Kubernetes, and Infrastructure as Code (IaC) practices.
  • Competency in Jest or similar testing frameworks.
  • Experience with monitoring tools such as Datadog or AWS CloudWatch.
  • Exposure to Google Cloud Platform (GCP) or cloud migration initiatives.
  • Knowledge of AI-driven media technologies, such as object segmentation, background removal, or media enhancement.
  • Background in real-time media or image/video processing pipelines.

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