Available Offers for Kubernetes

Senior Data engineer (ML/LLM)

Remotely
Part-time
Project occupancy
We are actively looking for an experienced Senior Data engineer with experience in ML to join our team. This position will suit you if you are the specialist who can find solutions independently and have experience with card data recognition.

Middle Azure DevOps engineer

Remotely
Full-time

Project in healthcare industry.


Responsibilities

  • Build the automation processes of our Big Data platforms.
  • Install, deploy, configure, maintain and monitor infrastructure, systems, and management tools of our Big Data platforms.
  • Ensure the highest levels of systems and infrastructure availability for our Big Data platforms.
  • Ensure the proper security standards in terms of infrastructure, systems, and processes.
  • Monitor and test application performance for potential bottlenecks, identify possible solutions and work with developers to implement fixes Provide 2nd level support.
  • Liaise with vendors (Azure and Databricks) and other IT personnel for problem resolution.


General Requirements

  • University degree or similar education in Software Engineering or Computer Science.
  • At least 3 years experience in DevOps and/or in using automation to build infrastructure.
  • Fluent English and good communication skills both in verbal and written form.
  • Ability to work in a globally distributed environment.


Technical Skills

  • Understanding of infrastructure automation concepts and good hands-on knowledge of Ansible.
  • Understanding of containerization concepts and strong knowledge of Docker.
  • Good understanding of Versioning Control systems and strong knowledge of Git.
  • Hands-on experience in Linux administration and in Bash scripting.
  • Experience with Jenkins.
  • Proficiency in writing scripts in Python.
  • Understanding of cloud paradigms (IaaS/SaaS/PaaS).
  • Understanding of networking concepts and cybersecurity best practices.
  • Understanding of agile software development process.
  • Accustomed to leverage tools like Confluence and Jira for knowledge and collaboration management.
  • Hands-on experience with MS Azure.
  • Experience with container orchestration and knowledge of Azure Kubernetes.
  • Familiarity with Big Data technologies: Spark/Hadoop, Azure Databricks, Apache Airflow.
  • Understanding of SQL and NoSQL database types, paradigms, and design patterns.