AWS Cloud Infrastructure Specialist

3 days ago


Smithfield, Ohio, United States Qualitative Financials Full time
Cloud / DevOps Engineer

The Workplace Investing Data Engineering and Exchange AI Delivery Chapter team is seeking a skilled Cloud / DevOps Engineer to join our team and contribute to the implementation and enhancement of technical solutions for an intelligent unified answer platform product.

This role is a dynamic agile engineering position where you will collaborate with our development team and peer data scientists to design, develop, and deploy full-stack AI search and process automation solutions.

As a Cloud / DevOps Engineer, you will have the opportunity to work on innovative agile development teams to help build, deploy, and maintain high business value AI powered solutions to improve life for our operations associates.

The Expertise and Skills You Bring
  • 3 to 5 years of hands-on development experience with AWS cloud provider.
  • Experience working with AWS infrastructure (S3, CFTs, EC2, EKS, IAM).
  • Experience in managing Cloud infrastructures like resource utilization, optimization, and cost efficiency.
  • Ability to collaborate with engineering and development teams to evaluate and provide optimal cloud solutions.
  • Experience working with security, data, and AI pipeline technologies (RDS/Postgres, Snowflake, Airflow) and infrastructure as Code (Terraform, Python, Ansible, CFT).
  • Experience in writing code (scripting) in languages such as Python, Groovy, and Bash.
  • Strong experience working with CI/CD processes and tools (Jenkins, Artifactory, Docker/Containers, Helm charts, and Kubernetes).
  • Experience with Machine Learning and model development lifecycle (AWS-Sagemaker) is highly preferred.
  • Experience with logging, monitoring, and alerting using tools such as DataDog and Splunk is a plus.
  • Bachelor's degree in computer science or other related discipline.
The Team

The team is an agile squad in the Intelligent Automation AI Product Area in Workplace Services. The squad intends to use cloud technologies and deploy solutions using all current software engineering principles.

This is a great opportunity to work on an agile team to help build innovative and high business value AI powered solutions to improve tough manual operations activities.



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