CyberYozh
21 days ago
4,000 – 5,500 USD
per month
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Grade
Senior
Experience
from 8 years
Work Format
Remote
By job title
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CyberYozh, Remote**
We are an international, fast-growing ecosystem of companies in the fields of cybersecurity, education, and technology. Our main projects: Due to product growth and team expansion, we are looking for an experienced Backend Developer to join our team.
Stack: Python, Django Rest Framework, FastAPI, Prometheus, Grafana, Docker, Strawberry, Celery, Redis, PostgreSQL, Kubernetes.
Requirements (Must have): 💦Experience working in a product company whose main product is a scraper, parser, or data aggregator. You understand the specifics of data collection, working with task queues, proxies, bypassing anti-bot systems, and structuring collected information. 💦Python at a Senior level (over 8 years of commercial development) + AI skills for acceleration (we use ClodeCode). 💦Deep experience in API development and support. 💦Understanding of Kubernetes principles and containerization.
Responsibilities:
🌸Development, testing, and integration of API functionality for the ecosystem's products. 🌸Work with the backend part of the scraping infrastructure: managing parsing tasks, processing, and delivering collected data via API. 🌸Participation in architecture planning, proposing improvements, and refactoring. 🌸Maintaining stability, monitoring, and support of solutions. 🌸Interaction with Frontend, DevOps, and QA teams.
Conditions and Compensation:
☘️Salary: from $4,000 to $5,500+ (net, depending on expertise depth). ☘️Regular salary review (every 6–12 months). ☘️Fully remote, flexible working hours. ☘️Official long-term contract with an international company (we've been on the market for 11 years). ☘️Strong team without juniors (currently, the technical team has 20+ people across different products). ☘️Vacation: 28 days. ☘️Real opportunities for self-realization and freedom in making technical decisions. ☘️Working with cutting-edge AI technologies, gaining in-demand experience in cybersecurity and big data processing niches.