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DevOps Architect @ Infinera

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 DevOps Architect

Job Description

Join our team to drive the creation and technical roadmap of build tools and services, ensuring efficient cloud distribution and performance. You will provide leadership, mentor junior team members, work with cutting-edge technologies in a dynamic, collaborative environment.
You have:
  • Bachelors or masters degree in engineering with minimum 10 year of experience in R&D and proficient in one or more programming languages like Python, C and C++
  • Proficient in Operating systems, Linux kernel and Linux scheduling
  • Experience in development and deployment of cloud-based tools/services
  • Experience in Build tools like Yocto, GCC, Make, Cmake, distcc and cloud distributed builds
  • Excellent problem-solving skills and a proactive approach to identifying and addressing issues.
If you would be nice if you also had:
  • Exposure to Artificial Intelligence /Machine Learning algorithms.
  • Exposure to write unit tests and debug code effectively.
  • Familiarity with cloud providers like AWS (Amazon Web Service), Azure, or Google Cloud.
  • Design, Develop and maintain of cloud-based build tools / build distribution tools / Software development environments.
  • Interface with stakeholders/Customers to understand the requirements/problems and convert them to development items in backlog.
  • Scouting for industry benchmarks and fostering innovation.
  • Responsible for creation of tool architecture and short/long term technical roadmap for the tool/Service.
  • Providing technical leadership and mentorship to junior team members.
  • Monitor and optimize build/compilations distributed on cloud nodes for performance, cost, and security.

Job Classification

Industry: Telecom / ISP
Functional Area / Department: Engineering - Software & QA
Role Category: DevOps
Role: DevOps Consultant / Architect
Employement Type: Full time

Contact Details:

Company: Infinera
Location(s): Kolkata

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Keyskills:   C++ Operating systems Linux kernel Artificial Intelligence Machine learning Cloud Technical leadership Programming Scheduling Python

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