Intetics Inc. is a leading American technology company providing custom software application development, distributed professional teams creation, software product quality assessment, and “all-things-digital” solutions built with SMAC, RPA, AI/ML, IoT, blockchain, and GIS/UAV/LBS technologies.
22 листопада 2024

Senior Python Fullstack Engineer (вакансія неактивна)

Київ, Харків, Львів, Одеса, Батумі (Грузія), Дюссельдорф (Німеччина), Краків (Польща), Варшава (Польща), Єреван (Вірменія), віддалено

Intetics Inc, a leading global technology company providing custom software application development, distributed professional teams, software product quality assessment, and “all-things-digital” solutions, is seeking a talented Senior Python Fullstack Engineer to join our team.

About the Project: Innovative AI marketplace. From scratch.

Key Responsibilities:

  • Develop and Maintain Full stack Applications: Design, build, optimize, and maintain both backend and frontend components of web applications with robust architecture and clean code practices.
  • DevOps & Infrastructure: Design and implement CI/CD pipelines, ensuring seamless deployment and monitoring. Work with cloud platforms (AWS, GCP, Azure) for scalable infrastructure management.
  • Performance & Scalability: Identify performance bottlenecks, optimize processes, and ensure applications are highly available and scalable.
  • Cross-Functional Collaboration: Work closely with product managers and other engineers to understand requirements, design solutions, and implement new features.

Requirements:

  • 5+ years of engineering experience
  • Backend frameworks (Django or Flask)
  • Proficiency with frontend technologies (React, Angular, Vue).
  • Proficient in creating CI/CD pipelines, infrastructure as code (e.g., Terraform, Ansible), and cloud platform management (AWS, GCP, Azure).
  • Experience with Code Assistants (Github Copilot, Codex, etc.).

Will be a Plus:

  • Strong expertise in cloud services, containerization (Docker, Kubernetes), and microservices architecture.
  • Familiarity with RESTful APIs and GraphQL.
  • Understanding of data engineering principles and tools for handling large datasets.
  • Exposure to A/B testing, experiment design, and metrics-driven development.