Senior Azure DevOps engineer

Оплата: По договоренности
Удаленно
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.