

Avacend Inc
Cloud Cost Optimization
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Cost Optimization specialist, contract from 11/17/2025 to 4/25/2026, remote (EST preferred). Requires a degree in Computer Science/Data Science, 2+ years in cloud operations, expertise in AWS, GCP, Azure, and proficiency in Python, ETL, and ML.
๐ - Country
United States
๐ฑ - Currency
$ USD
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๐ฐ - Day rate
Unknown
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๐๏ธ - Date
November 4, 2025
๐ - Duration
More than 6 months
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๐๏ธ - Location
Remote
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๐ - Contract
Unknown
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๐ - Security
Unknown
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๐ - Location detailed
United States
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๐ง - Skills detailed
#GCP (Google Cloud Platform) #Bash #Spark (Apache Spark) #Oracle #AWS Glue #Apache Airflow #DevOps #Data Pipeline #"ETL (Extract #Transform #Load)" #Flask #ML (Machine Learning) #Data Storage #PySpark #GitHub #AWS (Amazon Web Services) #Athena #Data Science #Version Control #Storage #Anomaly Detection #Computer Science #Documentation #Cloud #Data Lake #Jira #Snowflake #Libraries #AI (Artificial Intelligence) #Scripting #Public Cloud #Angular #Golang #Programming #TensorFlow #Python #PyTorch #Azure #GIT #Airflow #Agile #Forecasting #Jenkins #Scala #Security #GitLab
Role description
Duration: Potential contract to hire : Start/End Dates: 11/17/2025 - 4/25/2026
Location: Remote option and EST TimeZone preferred
Job Description:
What You Will Do:
โข Design and implement AI Agents to monitor and optimize cloud resources based on findings and recommendations from Cloud Service Providers.
โข Develop predictive models for drift detection, cost anomaly detection, and forecasting of public cloud resources and spend.
โข Automate operational workflows using machine learning and intelligent scripting.
โข Integrate AI-driven insights with Cloud Service Providers like AWS, GCP, Azure, and existing data and tools.
โข Conduct anomaly detection for security, cost optimization, and performance analytics.
โข Design, build, and maintain scalable ETL pipelines using AWS Glue and other cloud-native services.
โข Utilize AWS Athena for interactive querying of data stored in data lakes.
โข Manage and optimize data storage and processing using Snowflake cloud data platform.
โข Orchestrate complex workflows and data pipelines using Apache Airflow DAGs.
โข Continuously evaluate emerging AI technologies and tools for operational improvements.
โข Maintain documentation and best practices for AI/ML integration in cloud systems.
Our Minimum Requirements Include:
โข Bachelorโs or Masterโs degree in Computer Science, Data Science, or related technical field, or equivalent experience.
โข Proven ability building and deploying ML models, with at least 2 years focused on cloud operations.
โข Solid knowledge of cloud technologies (AWS, GCP, Azure, OCI).
โข Experience with Python, PySpark, and ML libraries such as PyTorch, TensorFlow, or scikit-learn.
โข Comfortable working with streaming data, APIs, and telemetry systems.
โข Experience with AWS Glue ETL, AWS Athena, Snowflake, and Apache Airflow DAGs.
โข Strong communication and multi-functional collaboration skills.
โข Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins).
โข Proficient in general-purpose programming languages (Python, Golang, Bash) and development platforms and technologies.
Preferred Qualifications:
โข Understanding of Cloud Technologies and Services of one or more providers including AWS, GCP, Azure, Oracle, and Alibaba.
โข Established record of leading technical initiatives, delivering results, and a commitment to fostering a supportive work environment.
โข Hard-working, dedicated to providing quality support for your customers.
โข Full stack development experience with Angular for frontend and Flask for backend application development
Duration: Potential contract to hire : Start/End Dates: 11/17/2025 - 4/25/2026
Location: Remote option and EST TimeZone preferred
Job Description:
What You Will Do:
โข Design and implement AI Agents to monitor and optimize cloud resources based on findings and recommendations from Cloud Service Providers.
โข Develop predictive models for drift detection, cost anomaly detection, and forecasting of public cloud resources and spend.
โข Automate operational workflows using machine learning and intelligent scripting.
โข Integrate AI-driven insights with Cloud Service Providers like AWS, GCP, Azure, and existing data and tools.
โข Conduct anomaly detection for security, cost optimization, and performance analytics.
โข Design, build, and maintain scalable ETL pipelines using AWS Glue and other cloud-native services.
โข Utilize AWS Athena for interactive querying of data stored in data lakes.
โข Manage and optimize data storage and processing using Snowflake cloud data platform.
โข Orchestrate complex workflows and data pipelines using Apache Airflow DAGs.
โข Continuously evaluate emerging AI technologies and tools for operational improvements.
โข Maintain documentation and best practices for AI/ML integration in cloud systems.
Our Minimum Requirements Include:
โข Bachelorโs or Masterโs degree in Computer Science, Data Science, or related technical field, or equivalent experience.
โข Proven ability building and deploying ML models, with at least 2 years focused on cloud operations.
โข Solid knowledge of cloud technologies (AWS, GCP, Azure, OCI).
โข Experience with Python, PySpark, and ML libraries such as PyTorch, TensorFlow, or scikit-learn.
โข Comfortable working with streaming data, APIs, and telemetry systems.
โข Experience with AWS Glue ETL, AWS Athena, Snowflake, and Apache Airflow DAGs.
โข Strong communication and multi-functional collaboration skills.
โข Experience with Agile and DevOps operating models, including project tracking tools (e.g., Jira), Git (any Version Control systems), and CI/CD systems (e.g., GitLab, GitHub Actions, Jenkins).
โข Proficient in general-purpose programming languages (Python, Golang, Bash) and development platforms and technologies.
Preferred Qualifications:
โข Understanding of Cloud Technologies and Services of one or more providers including AWS, GCP, Azure, Oracle, and Alibaba.
โข Established record of leading technical initiatives, delivering results, and a commitment to fostering a supportive work environment.
โข Hard-working, dedicated to providing quality support for your customers.
โข Full stack development experience with Angular for frontend and Flask for backend application development






