Join our dynamic project at the forefront of revolutionizing hearing care Our customer is a leading manufacturer of hearing aids and other hearing care solutions.
Take the next leap in your career as a Data DevOps Engineer with EPAM! As a key figure in our team, you'll implement and support advanced Terraform and Azure DevOps pipeline solutions across multiple environments.
Our client is a German multinational pharmaceutical and biotechnology company and is one of the largest pharmaceutical companies and biomedical companies in the world
Do you have a passion for the ever-evolving beauty industry and a drive to push boundaries? Join the team of professionals for one of the beauty industry leader!
Our client is the world's leading manufacturer of advanced control and automation systems, innovating technology and reinventing the way people live and work, offering integrated solutions to control audio & video systems.
Our client is a leading information services provider of financial, property, and consumer information, analytics, and business intelligence. They analyze information assets and data to provide clients with analytics and customized data services
Imagine being part of a project that doesn't just push boundaries but reshapes entire industries. Our client stands proudly as one of the largest oil field services companies, offering a comprehensive suite of products and services that span the entire spectrum of energy exploration and production.
Are you interested in contributing to a project that makes a meaningful difference in education and development? If so, this vacancy might be perfect for you Our client specializes in organizing school and college group tours, connecting students from diverse locations across the US and Canada with immersive experiences across Europe, North America, and beyond.
We're seeking a Golang Engineer with great expertise to join our dynamic team. The project requires work directly with Kubernetes team on their project. This is a Kubernetes native technology to run and manage batch workloads on Kubernetes Clusters.