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Sr Devops Python Engineer
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Sr Devops Python Engineer

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Job Location

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Re - Italy

Monthly Salary

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Not Disclosed

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Salary Not Disclosed

Job Description

Note
  • Applicants who fit the below Job Criteria will only be contacted by TeamUpShoot
  • **Job Hoppers will be strictly rejected**
  • Rest we appreciate your interest and you will only be be contacted by TeamUpShoot if any other opportunity suitable is available with us
About Client
  • Global Consulting Companys Technology Consulting Division
Role: SSEDevOps Python
Experience: 5 years 8 years (Total Relevant Expereience *****
Locations: Bangalore
Industry: IT Software / Software Services
Education:: BE/BTech/MCA in computer science from a reputed college.

Notice Period: Immediate Joiners ONLY

CTC: Max 14 LPA

The Role:
  • This position requires a blend of DevOps expertise Python development skills and a fundamental understanding of data engineering and machine learning.
  • The candidate should be proficient in deploying and managing applications in a containerized environment and be capable of writing robust backend services using modern Python frameworks.
  • Additionally experience with data pipeline development and a basic grasp of ML concepts will be advantageous.
What you should have:
  • DevOps:
    • Proficiency in Docker and Kubernetes for containerization and orchestration.
    • Experience managing CI/CD pipelines and automating deployment processes.
  • Python Scripting:
    • Expertise in developing applications using FastAPI Flask or Django frameworks.
    • Ability to write efficient reusable and scalable code.
  • Coding:
    • Strong coding skills in Python.
    • Ensuring code quality and adherence to coding standards.
What Youll Do:
  • Develop deploy and maintain software applications using Python and relevant frameworks.
  • Implement and manage containerized applications using Docker and Kubernetes.
  • Manage CI/CD pipelines to ensure smooth deployment processes.
  • Collaborate with crossfunctional teams to design develop and optimize data pipelines.
  • Maintain and enhance database systems ensuring efficient data storage and retrieval.
Good to have:
  • Data Engineering:
    • Experience with databases and knowledge of ETL processes.
    • Designing building and maintaining data pipelines.
  • Machine Learning:
    • Basic understanding of machine learning concepts and implementation.
    • Working knowledge of ML frameworks and libraries.

Employment Type

Full Time

Company Industry

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