Senior AWS Cloud Engineer

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required
Able to Provide Sponsorship

Skills

sql
aws
lambda
redshift
IAM
Python
SQS
SNS
S3
CDK
Airflow.

Job Details

Sr AWS Cloud Engineer

McKinney, TX

Long Term Contract

Hybrid 3 Days a Week

F2F Interview

santosh at ebusinesstechcorp dot com

What You Will Do:

  • Design, implement, and support various applications and services on our Cloud Platform.
  • Provide technological guidance on Data Lake and Enterprise Data Warehouse design, development, implementation, and monitoring.
  • Understand, Design and Implement Data Security around cloud infrastructures.
  • Provide support and guidance to Data Services and other application development teams on various AWS Database Products.
  • Work with leadership on process improvement and strategic initiatives on Cloud Platform.

What You Can Bring:

  • Bachelor's degree in Computer Science/Engineering, Information Systems or equivalent work experience in a technical position.
  • 7+ years of experience in software development and cloud technologies.
  • 5+ 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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.