Senior AWS Cloud Engineeer

Direct message the job poster from eBusiness Technologies Corp.

Overview

Senior Recruitment Manager @ Ebusiness Technologies Inc. with expertise in full-cycle recruiting and negotiation.

McKinney, TX

Hybrid 3 Days a week

F2F Interview

Long Term Contract

Qualifications

• Bachelor's degree in Computer Science / Engineering, Information Systems or equivalent work experience in a technical position.
• 3+ years of experience in Software Engineering primarily using Python, and AWS architectures
• Proven experience in building cloud applications and deploying with understanding of CI / CD processes.
• Strong coding and scripting experience with Python and SQL.
• Experience of implementing Airflow in AWS (MWAA) will be a plus.
• Prior domain experience of Life Insurance, Annuity or Financial Services is a plus.
• AWS Certifications are considered a strong plus
• Excellent verbal and written communication skills.
• Ability to work independently and as part of team.
• Strong programming knowledge and experience with Python.
• Specific working experience with primary AWS Services including Lambda, Glue, EventBridge, SQS, AWSCLI, S3, Redshift.
• Experience with a variety of services such as Athena, EC2, EBS, CloudWatch, CloudTrail, ECS, ECR, EMR, IAM, SNS, SES etc.
• Extensive hands-on experience including design and implementation across broad range of database services on Amazon Web Services (AWS).
• Solid understanding of various Data Management and Data Pipeline tools available in AWS.
• Experience building and deploying applications using the AWS CDK.
• Experience with Airflow, and with the administering and configuring Amazon Managed Workflows for Apache Airflow (MWAA).
• Experience in creating and deploying CloudFormation Templates (CFTs).
• Experience with Lifecycle Management of S3 Buckets.
• Clear Understanding of Cloud Databases Security involving AWS IAM Users and access, IAM Roles and Policies, Federated Users, and permissions.
• Good Understanding of AWS Encryption methodologies and AWS KMS Services.
• Experience with database performance testing and capacity planning.
• Working knowledge and experience with software development life cycle (SDLC) and agile / iterative methodologies.
• Knowledge of AWS Machine Learning Offerings, knowledge bases and Bedrock will be a plus.
• Application development and deployment experience with AWS, CI / CD pipelines, Git, and related techs.

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