Вакансия из списка Hirify.Global
hirify.global
2 days ago

Python Cloud Engineer Trainee

Формат работы
remote
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Armenia, Kazakhstan, Georgia

Вакансия напрямую с сайта из расширенного списка "глобальных компаний для русскоязычных специалистов" - туда входят компании с восточно-европейскими корнями.

Обычно нужен английский ~B2 и локация вне РФ/РБ (и/или ИП). Может требовать VPN для доступа

Описание вакансии

Текст:
/

Location: Study remotely from Armenia, Georgia, or Kazakhstan.

Overview

Join our Cloud Engineering Bootcamp, an intensive, hands-on program designed to equip you with the skills to launch your career as a Python Cloud Engineer. The program is completely free. The bootcamp begins in late August 2025 and runs for approximately 4 months, requiring a minimum commitment of 15 hours per week. The top graduates will have the chance to be considered for a Python Cloud Engineer position at hirify.global.

What you will do

  • Master backend development with Python, FastAPI, and scalable app design.
  • Work with data and systems including PostgreSQL, Redis, Celery, SQLAlchemy, and nginx.
  • Gain experience in DevOps & CI/CD using Docker, GitHub Actions, Terraform, and AWS.
  • Learn infrastructure basics with Kubernetes, ECS, IAM, VPC, and RDS.
  • Explore AI Integration using LangChain, RAG pipelines, vector DBs, and LLM agents.

Requirements

  • Experience: 1+ year of coding experience.
  • English Proficiency: B2+ level
  • Residency: Armenia, Georgia, or Kazakhstan
  • Skills: Confident Python, CLI, Git, SQL skills.
  • Knowledge: Basic understanding of DevOps, OS, networking (TCP/IP, HTTP).
  • Familiarity: AWS (EC2, S3), Docker.

Nice to have

  • AWS Cloud Practitioner Certification
  • HackerRank Python (Basic) Skills Certification
  • AWS Learning Badges
  • AWS Cloud Quest

Culture & Benefits

  • Start Date: Late August 2025.
  • Mode of Study: Online.
  • Duration: Approximately 4 months.
  • Cost: Free of charge.
  • Project-based learning, mentoring, Q&A sessions, code reviews, and hands-on experience.
  • Enhanced Python and DevOps skills through writing and deploying production-ready applications.