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Cloud Engineer/Software Engineer - AWS

Location Mexico, United States
Posted 20-March-2021
Description
Great people make Schneider Electric a great company.

Are you a passionate Cloud Native Engineer who has delivered systems in a fast-paced agile environment? Here at Schneider Electric, we are transforming our Business with Machine Learning leveraging the most advanced cloud-native solutions on the planet! Want to be a part of it? If you are about solving exciting problems and shaping the future of technology, we would love to talk with you.

The AI & Automation team in Schneider Digital is looking for a top-notch Cloud Engineer in a technical development role as part of the data science team. The goal is to design and develop cloud solutions & architectures that support machine learning and AI initiatives. The Cloud Engineer will work in cloud related development, automation, DevOps, data engineering, automating and streamlining Cloud infrastructure processes and tasks.

If youre excited by defining the future of cloud computing and want to help lead from the innovative edge, we guarantee that your work in our team will be ground-breaking and challenging. This role will also provide immense opportunity for the candidate to develop data science & Artificial Intelligence/Machine Learning skills.

What do you get to do in this position?

Create, maintain, and evolve an AWS cloud infrastructure for ML applications

Work in tandem with our Engineering team to design, develop, and deploy the most optimal cloud-based solutions for machine learning & AI applications

Recommend and develop ETL/ Lambda/ Step functions to enable scalability, and optimization of Cloud Infrastructure

Collaborate with colleagues to support and improve architecture, systems, processes, standards, and data engineering tools

Participate in architectural discussions to ensure solutions are designed for successful deployment, security, and high availability in the cloud

Write and maintain code for automating the creation of scalable/resilient systems/infrastructure

Define and document best practices and strategies regarding cloud application deployment

Educate/mentor data scientists and teams on best practices for Cloud


Qualifications

We know skills and competencies show up in many different ways and can be based on your life experience. If you do not necessarily meet all the requirements that are listed, we still encourage you to apply for the position.

This job might be for you if:

Bachelors degree in computer science, math, or related quantitative field, or equivalent experience
Computer Science fundamentals in data structures, algorithm design and problem solving
5years of experience architecting, designing, developing, and implementing cloud solutions on AWS platforms
Expertise with AWS services, including Lambda, Step functions, IAM, EC2, ELB, RDS, DynamoDB, S3, Redshift, & CloudWatch
Experience managing and supporting Docker, Kubernetes, Spark, Dask, Flask, CI/CD services
Strong Python, SQL skills a must
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is desirable
Experience
Min 5 to 8 Years.

 
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