Posted 6y ago

DevOps Engineer

@ Provectus
Kazan, Tatarstan, RU
OnsiteFull Time
Responsibilities:Build infra, Design systems, Monitor processes
Requirements Summary:2+ years as Software Engineer; AWS infra; CI/CD from scratch; Docker/Kubernetes/Mesos; ECS a plus; Spark/Kafka a plus; strong problem solving, communication, and documentation; TCP/IP and web security knowledge; ability to work independently and in a team.
Technical Tools Mentioned:AWS, Docker, Kubernetes, Mesos, ECS, Apache Spark, Apache Kafka
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Job Description

About project


Provectus is an international IT company that builds advanced solutions for AI-first, data-driven businesses. Artificial Intelligence, Machine Learning, and Big Data are our specialty.

Provectus’ Kazan division is a success story of its own. It boasts a strong technical team of 60+ seasoned experts and is quickly growing. In Kazan, Provectus has successfully implemented “teal” management (i.e. operates as a teal or turquoise organization). This basically means that we do not have senior employees, managers, and their subordinates. All employees are free to make decisions on their own.

To learn more about Provectus, kindly check out the article about our team here: https://vc.ru/hr/36660-kompaniya-kotoraya-rabotaet-bez-direktora-opyt-provectus

Don’t hesitate to reach out. Join #ProvectusTeam now!


Requirements


  • 2+ years industry experience as Software engineer. You are more Software Engineer than Linux Admin

  • Experience maintaining AWS infrastructure

  • Experience in building CI/CD pipelines from scratch

  • Experience with Docker, Mesos or Kubernetes, ECS is a plus

  • Experience with Apache Spark, Apache Kafka stack is a plus

  • Track record of practical problem solving, excellent communication, and documentation skills

  • Demonstrable knowledge of TCP/IP, HTTP, web application security, and experience in multi-tier web application architectures

  • Ability to prioritize tasks to work independently and as part of the engineering team


Main Responsibilities


  • Build cutting edge big data processing and machine learning infrastructure

  • Work on devops team to design, build, and maintain systems

  • Monitor and automate processes

  • Maintain and provision infrastructure

  • Troubleshoot issues across the entire stack - software, application, and network

  • Collaborate on code reviews