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Software Engineer

3 months ago

Sany, India Yeah! Global Full time

This is a remoteposition.

One of the clients islooking to extend its technical team by 7 Software engineersglobally.

Note: Pleaseshare your resume in Englishonly.

We are lookingfor a Software Engineer who is passionate about solving largebusiness optimization problems at scale. If you are comfortableworking in a startup environment enjoy building a welldefinedlongterm architecture and have an interest in solving businessproblems with technology then this could be the position foryou.


Responsibilities:

  • Work closely with partners acrossdepartments to deliver essential planning solutions and therequisite technology to upholdthem.
  • Contribute to the design and implementationof future architectures for a highly scalable durable andlowlatency capacity planningsystem.
  • Spearheaded innovative initiatives utilizingbig data machine learning (ML) techniques and distributed systemsto achieve tangible businessoutcomes.
  • Assist in collecting and refiningrequirements defining key performance indicators (KPIs)establishing priorities and coordinating the planning ofengineering deliverables.
  • Great communication skills in Englishlanguage both written andspoken.


Qualifications:

  • Bachelors Degree in ComputerScience or a relevant technical field with demonstrated proficiencyin programming languages such as C C C# Java JavaScript or Pythonor equivalent practicalexperience.
  • Familiarity and comprehension of cloudinfrastructure with exposure to Azure or Bing beingadvantageous.
  • Proficiency in BigData and streaming platforms such as Storm Hadoop and Cosmoscoupled with handson experience in machinelearning.


Bachelor's Degree in Computer Scienceor a relevant technical field, with demonstrated proficiency inprogramming languages such as C, C++, C#, Java, JavaScript, orPython, or equivalent practical experience. Familiarity andcomprehension of cloud infrastructure, with exposure to Azure orBing being advantageous. Proficiency in Big Data and streamingplatforms, such as Storm, Hadoop, and Cosmos, coupled with hands-onexperience in machine learning.