Sr. AWS Engineer-Cost Optimization

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. AWS Engineer-Cost Optimization, remote, with a contract length of "unknown". Pay rate is "unknown". Requires 8+ years in cloud engineering, expertise in AWS cost management, and proficiency in Terraform, Turbonomic, and ParkMyCloud.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 20, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
W2 Contractor
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Scripting #Computer Science #Azure #AWS RDS (Amazon Relational Database Service) #RDS (Amazon Relational Database Service) #Terraform #Automation #EC2 #Lambda (AWS Lambda) #Storage #AWS (Amazon Web Services) #Data Storage #Cloud #S3 (Amazon Simple Storage Service)
Role description
Job Title: Sr. AWS Engineer-Cost Optimization Location: Remote Interview Process: Video Tax Terms: W2 Only,Own Corp Applicants, Notes for Recruiters: Need 2 Manager Level references with their phone number and LinkedIn id's. Top Skills - Must Haves Aws Cloud Terraform Lambda Infrastructure EC2 EBS S3 AWS RDS Reservations and Compute Reservations AWS Savings Plans Reserved Instances RDS Reservations Compute Reservations ParkMyCloud Turbonomic Intelligent Tiering strategies Top Skills' Details: β€’ 8+ years of experience in cloud engineering with a proven track record of cost optimization. β€’ Expertise in managing AWS Savings Plans, Reserved Instances, RDS Reservations, and Compute Reservations. β€’ Demonstrable proficiency with Turbonomic, ParkMyCloud, and Intelligent Tiering strategies. β€’ Advanced skills in automation and scripting for comprehensive cloud cost management. Position Overview: We are seeking an expert-level Senior AWS Cloud Engineer specializing in comprehensive cost optimization across various services and platforms. The successful candidate will be responsible for identifying, exploring, and implementing strategic cost-saving initiatives, with a focus on achieving 2025 Cloud Cost reduction in spending through multiple saving tracks. β€’ Explore all available options to reduce costs across AWS services, including storage (EC2, EBS, S3), compute, and memory, utilizing AWS Savings Plans (SP) and Reserved Instances (RI). β€’ Develop and execute cost-saving solutions within AWS RDS Reservations and Compute Reservations, ensuring efficient resource utilization. β€’ Leverage Turbonomic and ParkMyCloud to perform comprehensive analyses and drive cost-saving decisions. β€’ Discover and assess unused resources across AWS environments, evaluating them as candidates for decommissioning to enhance cost efficiency. β€’ Implement Intelligent Tiering strategies to optimize data storage costs across AWS services. β€’ Evaluate all cloud services to determine if extended support charges are incurred and develop a strategic plan to address and mitigate these costs. β€’ Collaborate with cross-functional teams to operationalize comprehensive cost management strategies and ensure alignment with financial goals. β€’ Provide expert insights, analysis, and reporting to support decision-making and enhance cloud financial governance. β€’ Stay informed about AWS and Azure (SP & RI) pricing models, savings plans, and industry best practices to continuously improve optimization efforts. Qualifications: β€’ Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. β€’ 8+ years of experience in cloud engineering with a proven track record of cost optimization. β€’ Expertise in managing AWS Savings Plans, Reserved Instances, RDS Reservations, and Compute Reservations. β€’ Demonstrable proficiency with Turbonomic, ParkMyCloud, and Intelligent Tiering strategies. β€’ Advanced skills in automation and scripting for comprehensive cloud cost management. β€’ Strong analytical and problem-solving abilities to achieve effective cost-saving solutions. β€’ Excellent communication skills and proven ability to collaborate with technical and non-technical teams.