Junior Platform Engineer
Do you want to do impactful work that will be deployed to millions of citizens weekly? Do you want your input to be heard and taken into consideration? Apply and create a digital future with us!
Up to 60 000 USD annually on B2B
B2B long-term permanent contract
Rapidly growing Japanese startup, with deep roots in innovation and technology
Part-remotely (at the office in Warsaw, then work a few days a week in the office- in the future possibility of remote work)
On behalf of the client, we are looking for a Junior Platform Engineer who is highly motivated to grow their knowledge in AI and Machine Learning. The company has offices in the US, Japan, and Poland. We offer a culture of team collaboration, opportunities for professional growth, and the chance to work with a dynamic team in one of the most exciting and fastest-growing fields of technology.
Experience in public clouds (mostly AWS/Azure)
bullet iconExperience in programming in Python
bullet iconExperience in IaC(Infrastructure as Code) tools like Ansible/Terraform
bullet iconExperience in containers/container orchestration systems (Docker/Kubernetes)
Experience in data platform software like Spark/Hadoop
Experience in other build and automation tools such as Jenkins and Packer
Experience in developing analytics, machine learning, distributed computing, and/or Big Data platforms
You have passion to support our customers in achieving their goals, even if it requires wearing multiple hats
You love learning, and are not afraid to jump into something with which you have no prior experience and fill in the blanks
You work collaboratively with multicultural engineering teams around the globe; you should be a team player; good knowledge of English and Polish (both spoken and written)
Build and maintain a robust, scalable and flexible data platform that is deployed both on-premises and in a variety of cloud environments
You will contribute to the development of software for supporting customers’ installation, upgrade, recovery from node failure, node scaling, system monitoring, and troubleshooting.
Help us measure and improve reliability and performance of the data platform by working with product owners and engineering teams.
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