Sr. Devops Python Engineer

3 weeks ago

Bengaluru, India Upshoot Hr Solutions Private Limited Full time
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 usAbout Client

Global Consulting Company's Technology Consulting DivisionRole: SSE-DevOps PythonExperience: 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 ONLYCTC: Max 14

LPAThe 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 You'll 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 cross-functional 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.

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