Senior AWS Cloud Engineeer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AWS Cloud Engineer in McKinney, TX, with a long-term contract. Requires 3+ years of experience in Python and AWS, expertise in cloud applications, CI/CD, and strong knowledge of AWS services. AWS certification is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
September 26, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
McKinney, TX
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🧠 - Skills detailed
#Deployment #Security #IAM (Identity and Access Management) #Athena #S3 (Amazon Simple Storage Service) #AWS (Amazon Web Services) #SQS (Simple Queue Service) #Data Management #ML (Machine Learning) #Web Services #Lambda (AWS Lambda) #GIT #AWS IAM (AWS Identity and Access Management) #Apache Airflow #Scripting #Databases #Database Performance #AWS Machine Learning #Cloud #ECR (Elastic Container Registery) #SQL (Structured Query Language) #EC2 #Python #Data Pipeline #SNS (Simple Notification Service) #Airflow #Computer Science #Programming #Redshift #Agile
Role description
Sr AWS Cloud Engineer
McKinney, TX
Hybrid 3 Days a week
F2F Interview
Long Term Contract
santosh@ebusinesstechcorp.com
What You Can Bring:
• 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.
Sr AWS Cloud Engineer
McKinney, TX
Hybrid 3 Days a week
F2F Interview
Long Term Contract
santosh@ebusinesstechcorp.com
What You Can Bring:
• 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.
