DevOps Engineer от компании Droice Labs

Центр карьеры РТУ МИРЭА
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17.03.2021
от 150 000 руб/месяц
Москва
Удаленная работа
Мужской / Женский
Высшее
Freelance / Полный рабочий день
Институт радиотехнических и телекоммуникационных систем / Институт экономики и права / Институт тонких химических технологий / Институт информационных технологий / Институт комплексной безопасности и специального приборостроения / Институт инновационных технологий и государственного управления / Институт кибернетики / Физико-технологический институт
Droice harnesses the power of AI to unlock insights from massive amounts of real-world clinical data, empowering physicians to provide better patient care. Our proprietary Natural Language Understanding (NLU) engine analyzes and transforms clinical data from some of the world’s largest hospital systems, insurance and life science companies, and government bodies around the world, covering over 60 million people. Droice tools empower healthcare providers to personalized healthcare and make it more accessible to anyone, anywhere.


• Provide infrastructure management while interacting and collaborating with the
Engineering Team in providing support for end-user issues & requests related to
systems & applications
• Research & recommend innovative solutions and where possible implement
automated approaches for system administration tasks
• Contribute to technical discussions to gather requirements, deploy infrastructure &
automation solutions
• Work with Backend, Frontend, Data Science & Data Engineering counterparts to
bring software and tooling features from conception to launch
• Help triage bugs, track software defects and ensure their timely resolution
• Participate in knowledge transfer, documentation, information sharing,
microservices architecture design & development
г. Москва
Удаленная работа

Все резюме на английском языке высылать по электронной почте elvira@droicelabs.com
• Over three years of experience in systems administration, DevOps automation
and/or cloud solutions development
• Clear understanding of networking & storage principles, microservices architecture,
and strong computer science fundamentals
• Deep knowledge of Linux internals, network architecture & network protocols
• Strong grasp of automation using scripting languages like Bash, Python & be able to
automate various deployment processes using the same
• Be fully familiar with Git, Nginx, Docker, Linux
• Should be aware of managing pipelines as code to build & maintain continuous
integration and deployment (CI/CD) for different workflows
• Understanding of monitoring, alerting, logging frameworks
• Efficient in troubleshooting & fixing various production & performance issues in
Development, Testing, Staging & Production environments
• A problem solver with exceptional analytical skills & high attention to detail
• Excellent English communication skills, both verbal & written