Position: Senior Python Engineer
Company: N-iX
Category: Python
Experience required: 3y
English level: intermediate

Our customer has vast amounts of real time and historic data that is converted into actionable intelligence by the data science division. It empowers our clients through our product via alerts, detailed analysis and visualizations. 
You will join a team of motivated people working on a tough problem and help us shine a light into the dark corners of the internet.

Responsibilities
•	Expand our collection reach with new underground (UG) sources, and strengthen our methods by investigating collection issues and fixing the root causes. 
•	Solve hard underground data collection problems, such as evading anti-bot methods, coordinating the work of many collector agents, and safely collecting binary data from untrustworthy sources. 
•	Build high value analytics on raw data from UG sources. Examples: find networks of actors/accomplices, and highlight notable conversation threads.

Requirements 
•	At least 3+ years of experience in software engineering using Python. You write clean, production-grade code that your teammates can easily work with. 
•	Experience with MongoDB. 
•	Experience with Kibana.
•	Great problem-solving capabilities and experience troubleshooting data issues. In UG data collection, you cannot ask the source’s webmaster for tech support!
•	Proactive communication and effective collaboration with your teammates to get technical problems resolved. You are a self-starter. The ball is always in your court.
•      At least Upper-Intermediate level of English

Nice to have 
•	Experience with AWS or other cloud environments
•	Comfortable working in global teams

We offer 
•	Flexible working format - remote, office-based or flexible
•	A competitive salary and good compensation package
•	Flexible and personalized career growth
•	Professional development tools (mentorship program, tech talks and training, centers of excellence, and more)
•	Active tech communities with regular knowledge sharing
•	Education reimbursement
•	Paid vacation days, sick leaves, and days off
•	Healthcare & Sport program
•	Medical insurance
•	Memorable anniversary presents
•	Corporate events and team buildings