3+ years of experience as a DevOps engineer;
Understanding of Development & Build processes, CI&CD concepts and tools such as Jenkins, Maven etc.;
2 years’ experience in scripting (Python / Bash);
Experience with version control tools such as BitBucket / Git;
Experience with Docker orchestration tools — Kubernetes / Openshift;
Familiarity with configuration management and deployment tools (Ansible, Helm etc.);
Familiarity working with any of the major cloud providers: Azure, AWS, Google Cloud;
Familiarity with logging & Monitoring tools — such as Prometheus, Grafana and ELK stack;
Understanding the sensitivity of production environments;
Advanced problem-solving and troubleshooting skills;
Team player and excellent personal skills.
Сompetitive compensation based on your skills and experience.
24 days of annual paid vacation and 5 sick leaves.
Exciting project involving the newest technologies.
Accounting as a service.
Flexible working hours.
Developing and automating the R&D lab environments on different clouds (GCP, Azure and AWS) running on different platform (K8S and Openshift);
Continuously improve the stability and speed of our CI and CD processes;
Provide the flexibility to allow the development process to run smoothly;
Provide monitoring on build and tests status;
Innovate our infrastructure by exploring new technologies.
The customer is lead provider of AI-based Big Data analytics.
The main goal is to helping financial organizations combat financial cybercrimes like money laundering, fraud, and ATM attacks, which are used to finance terrorism.