Description
EPAM is a leading global provider of digital platform engineering and development services.
We are committed to having a positive impact on our customers, our employees, and our communities.
We embrace a dynamic and inclusive culture.
Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow.
No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.
No less important is the safety, well-being, and experience of our applicants.
Therefore until further notice, all EPAM employment interviews will be conducted remotely.
Our recruitment professionals and hiring managers are standing by to ensure a robust and engaging virtual candidate experience.
We look forward to speaking with you! For further information please check our web site at we are looking for a self-motivated, enthusiastic
Data DevOps Engineer for our Data Practice in Hungary to make the team even stronger.Learn more about our Data Practicehere.
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Responsibilities
Implement and integrate modern data analytics solutions in cloud Build and maintain high-performance, cloud-based, scalable distributed systems and Cloud-based infrastructure environments Build proactive monitoring systems (Prometheus, Grafana, etc.) Create and maintain CI / CD pipelines (Jenkins, Gitlab-CI, TeamCity, JFrog, etc.) Learn market leading technologies
Requirements
Bachelors / Masters Degree in Information Technology, Maths or Economics with a strong IT attitude Practical knowledge of System Administration Understanding of Big data purpose and main concepts Knowledge of containers and principles of Microservices Familiarity with GIT Good English, both verbal and written
Nice to have
Knowledge of CI/CD processes Any Cloud platform knowledge (AWS, Azure or GCP etc.) Infrastructure as Code (Ansible, Terraform, AWS CDK etc.) Understanding of Big Data principles
We offer
Dynamic, entrepreneurial corporate environment Diverse multicultural, multi-functional, and multilingual work environment Opportunities for personal and career growth in a progressive industry Global scope, international projects Widespread training and development opportunities Unlimited access to LinkedIn learning solutions Competitive salary and various benefits Advanced wellbeing and CSR programs, recreation area