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Cloud Engineering Support with (AI exp) - Remote/NJ


Role – Cloud Engineering Support with Dataiku OR machine Learning exp

Location – NJ / Remote

Duration – 12+ months



Required Skills and Qualifications:

  • 2+ years of experience of developing, implementing and supporting cloud-based (AWS Preferred) solutions.
  • Knowledge and working experience on AWS Global Infrastructure – Compute (EC2, Lambda, Containers, etc.), Databases (RDS, Redshift, DynamoDB, etc.), Storage (EBS, EFS, etc.), Security (IAM, CloudTrail, etc.) and Analytics (Athena, EMR, etc.) at least.
  • Knowledge of Dataiku (or equivalent Platform) that supports ML Operations. 
  • Knowledge of provisioning infrastructure, access management, resource management of cloud Environments and supporting applications installed on cloud
  • Sound knowledge about Virtual Private Clouds (VPCs), Subnets, Security groups, Endpoints, and other networking concepts.
  • Knowledge of well-architected framework, cloud best practices and governance, performance/cost optimization and automation.
  • Experience in writing one or more coding languages (e.g., Python, Node, Go, etc.).
  • In depth knowledge and hands on experience of working on Linux Operating System.
  • Ability to collaborate with multiple cross-functional teams to deliver quality service/product
  • Excellent problem-solving skills and ability to communicate effectively with clients


Preferred Qualifications:

  • Associate-level Certifications in any of the Cloud platforms will be preferred. Having a professional certificate will be an added advantage
  • Knowledge of CI/CD tools like Jenkins, AWS Code Pipeline, CloudFormation, etc. 
  • Knowledge of microservice architecture including API Gateway, Kubernetes, etc. 


Roles and Responsibilities:

  • Understand end-to-end solution design following architectural best practices, security, compliance, and regulation. 
  • Collaborate with various techno-functional teams (Operations, Build, Validation, etc.) to deliver high quality solutions/services on Cloud.
  • Implementation of Automated Frameworks to reduce manual intervention.
  • Support the Cloud Infrastructure composed of AWS Platform, Dataiku, EMR / EC2, EKS, Databases, File Storage(S3)
  • Optimal resource – Space, CPU, network allocation and prioritization. Continuous monitoring and optimization of costs across pipelines, jobstreams, ML models , etc.



Thanks,

Saurabh Mishra | VBeyond Corporation

Direct Number 908-854-0421


Note: VBeyond is fully committed to Diversity and Equal Employment Opportunity.

 

www.vbeyond.com

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