DevOps Engineer with Python

DataForest - helps companies use data to drive decisions. We apply Data Science techniques combined with expertise in business automation, large-scale data analysis and advanced software engineering to improve performance outcomes for organizations and create added value to their clients and shareholders.

Looking for a DevOps Engineer with Python experience.

Skills Requirements:
- Deep knowledge of Linux/Unix;
- 1+ years of experience in Python;
- Source Control (Git, Bitbucket);
- Knowledge of AWS;
- 1+ years of experience as DevOps;
- SQL, NosQL DB configuration;
- CI/CD;
- Container Concepts (Kubernetes, Docker);
- Nginx basic knowledge

Optional skills (as a plus):
- Experience with ETL pipelines;
- Django deployments
- Load balancing on AWS and Nginx
- AWS cost optimization

Key Responsibilities:
- Cover DevOps needs of a dev team;
- Support existing environments in both on-prem and cloud;
- Detect existing product infrastructure issues and vulnerabilities;
- Build ETL procedures;
- Implement development best practices and standards;

We offer:
- Great networking opportunities with international clients, challenging tasks;
- Building interesting projects from scratch using new technologies;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves, medical insurance;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.