

2027460 Cloud Engineer $215,000.00, New Grad
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Cloud Engineer with a contract length of over 6 months, offering a pay rate of $215,000. Required skills include Python, Bash, Terraform, AWS, and DevSecOps. Industry experience in defense and cybersecurity is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
977.2727272727
-
🗓️ - Date discovered
August 11, 2025
🕒 - Project duration
More than 6 months
-
🏝️ - Location type
On-site
-
📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
McLean, VA
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🧠 - Skills detailed
#Automation #Databases #GIT #PySpark #SQL (Structured Query Language) #AI (Artificial Intelligence) #Compliance #Visualization #"ETL (Extract #Transform #Load)" #NiFi (Apache NiFi) #Tableau #Automated Testing #Spark (Apache Spark) #Apache NiFi #Classification #Data Science #Security #AWS (Amazon Web Services) #Terraform #Version Control #Flask #Bash #Jenkins #Python #Network Security #GitHub #Microservices #Web Development #Deployment #Agile #DevSecOps #Data Engineering #Jira #Cloud #Monitoring #Documentation
Role description
Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.
Job Summary:
B4Corp is a small defense contracting company that focuses on providing an optimum environment for mission-focused, highly skilled consultants to support the United States of America’s intelligence community and other defense organizations. They are seeking a Cloud Engineer to work with data scientists and engineers to architect and document cloud solutions, optimize computing technologies, and manage cloud microservices to support advanced AI applications.
Responsibilities:
• The Candidate shall work with data scientists and data engineers to architect, operate, and document relevant cloud-on prem hybrid solutions to optimize relevant workflow components for advanced artificial intelligence applications.
• The Candidate shall lead work to optimize cloud-based computing technologies, such as leveraging pyspark, distributed computation, and model training/inference, and integrate solutions into relevant delivery mechanisms or partner systems.
• The Candidate shall build tools and scripts to monitor, troubleshoot, automate, and deploy AI models and outputs as part of a variety of existing business analytic platforms.
• The Candidate shall be directly responsible for solutions related to the Customer’s analytic work in these key areas: availability, latency, performance, efficiency, documentation, change management, monitoring, security, emergency response, and capacity planning.
• The Candidate shall apply, develop and deploy cloud microservices and integration of cloud resources with on prem high performance computation servers to support the Customer’s efforts.
• The Candidate shall create and use optimal solutions to store and host information.
• The Candidate shall create software pipelines to query databases of interest, combine and merge data sources, and analyze information.
• The Candidate shall use the Customer’s knowledge management, version control, coding standards, and delivery platforms.
• The Candidate shall champion and manage requirements, builds, upgrades, and fixes within multiple (dev, test, production) environments.
• The Candidate shall assist developers and data scientists with code deployments, particularly providing CI/CD configuration.
• The Candidate shall leverage available solutions to create automations that enable timely tipping and queuing.
• The Candidate shall optimize open-source software to accelerate mission solutions and minimize proprietary dependencies at the direction of the Customer.
• The Candidate shall use a microservice-based architecture and agile coding for engineering and development activities to support reliable network performance, modern resource management, and security processes.
• The Candidate shall develop analytical software packages, pipelines, and custom virtual environments for deployment in secure environments including standalone workstations, standalone compute clusters, secure cloud environments, and on-premises network infrastructure.
Qualifications:
Required:
• Developmental (0-2 years’ experience)
• Full Performance (3-5 years’ experience)
• Senior (6-10 years’ experience)
• Expert (11-15 years’ experience)
• SME (16+ years’ experience)
• Demonstrated experience with Python, Bash, and Terraform.
• Demonstrated experience Anaconda for development purposes.
• Demonstrated experience building and maintaining CI/CD pipelines with software such as source control (Git/GitHub), continuous build/delivery (Jenkins), issue management (Jira), and documentation/collaboration (Confluence).
• Demonstrated experience with automated testing and deployment of infrastructure or configurations.
• Demonstrated experience in the administration, provisioning, and use of cloud technologies (i.e. AWS) particularly with application of data science approaches in the cloud.
• Demonstrated experience deploying and tuning Apache NiFi or other ETL workflows.
• Demonstrated experience hosting and managing Structured Query Language (SQL) databases within cloud based relational databases.
• Demonstrated experience optimizing connectivity between cloud-based services and on prem high performance cloud compute servers.
• Demonstrated experience with DevSecOps solutions and tools.
• Demonstrated experience in the cyber security domain to include: governance and risk management, compliance, encryption, software development security, access control, network security or secure architecture, or security operations.
• Demonstrated experience preparing presentations and presenting to senior stakeholders.
Preferred:
• Demonstrated experience supporting data scientists to create—through fine tuning, transfer learning—models for classification, prediction, generative AI, or other similar tasks.
• Demonstrated experience optimizing the deployment of AI models in the cloud.
• Demonstrated experience with front-end web development frameworks such as Flask.
• Demonstrated experience using Tableau to connect cloud serves to Tableau output visualizations.
Company:
B4Corp is a customer focused company that provides an outstanding compensation and B4Corp benefits. Founded in 2010, the company is headquartered in Leesburg, Virginia, USA, with a team of 11-50 employees. The company is currently Early Stage.
Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.
Job Summary:
B4Corp is a small defense contracting company that focuses on providing an optimum environment for mission-focused, highly skilled consultants to support the United States of America’s intelligence community and other defense organizations. They are seeking a Cloud Engineer to work with data scientists and engineers to architect and document cloud solutions, optimize computing technologies, and manage cloud microservices to support advanced AI applications.
Responsibilities:
• The Candidate shall work with data scientists and data engineers to architect, operate, and document relevant cloud-on prem hybrid solutions to optimize relevant workflow components for advanced artificial intelligence applications.
• The Candidate shall lead work to optimize cloud-based computing technologies, such as leveraging pyspark, distributed computation, and model training/inference, and integrate solutions into relevant delivery mechanisms or partner systems.
• The Candidate shall build tools and scripts to monitor, troubleshoot, automate, and deploy AI models and outputs as part of a variety of existing business analytic platforms.
• The Candidate shall be directly responsible for solutions related to the Customer’s analytic work in these key areas: availability, latency, performance, efficiency, documentation, change management, monitoring, security, emergency response, and capacity planning.
• The Candidate shall apply, develop and deploy cloud microservices and integration of cloud resources with on prem high performance computation servers to support the Customer’s efforts.
• The Candidate shall create and use optimal solutions to store and host information.
• The Candidate shall create software pipelines to query databases of interest, combine and merge data sources, and analyze information.
• The Candidate shall use the Customer’s knowledge management, version control, coding standards, and delivery platforms.
• The Candidate shall champion and manage requirements, builds, upgrades, and fixes within multiple (dev, test, production) environments.
• The Candidate shall assist developers and data scientists with code deployments, particularly providing CI/CD configuration.
• The Candidate shall leverage available solutions to create automations that enable timely tipping and queuing.
• The Candidate shall optimize open-source software to accelerate mission solutions and minimize proprietary dependencies at the direction of the Customer.
• The Candidate shall use a microservice-based architecture and agile coding for engineering and development activities to support reliable network performance, modern resource management, and security processes.
• The Candidate shall develop analytical software packages, pipelines, and custom virtual environments for deployment in secure environments including standalone workstations, standalone compute clusters, secure cloud environments, and on-premises network infrastructure.
Qualifications:
Required:
• Developmental (0-2 years’ experience)
• Full Performance (3-5 years’ experience)
• Senior (6-10 years’ experience)
• Expert (11-15 years’ experience)
• SME (16+ years’ experience)
• Demonstrated experience with Python, Bash, and Terraform.
• Demonstrated experience Anaconda for development purposes.
• Demonstrated experience building and maintaining CI/CD pipelines with software such as source control (Git/GitHub), continuous build/delivery (Jenkins), issue management (Jira), and documentation/collaboration (Confluence).
• Demonstrated experience with automated testing and deployment of infrastructure or configurations.
• Demonstrated experience in the administration, provisioning, and use of cloud technologies (i.e. AWS) particularly with application of data science approaches in the cloud.
• Demonstrated experience deploying and tuning Apache NiFi or other ETL workflows.
• Demonstrated experience hosting and managing Structured Query Language (SQL) databases within cloud based relational databases.
• Demonstrated experience optimizing connectivity between cloud-based services and on prem high performance cloud compute servers.
• Demonstrated experience with DevSecOps solutions and tools.
• Demonstrated experience in the cyber security domain to include: governance and risk management, compliance, encryption, software development security, access control, network security or secure architecture, or security operations.
• Demonstrated experience preparing presentations and presenting to senior stakeholders.
Preferred:
• Demonstrated experience supporting data scientists to create—through fine tuning, transfer learning—models for classification, prediction, generative AI, or other similar tasks.
• Demonstrated experience optimizing the deployment of AI models in the cloud.
• Demonstrated experience with front-end web development frameworks such as Flask.
• Demonstrated experience using Tableau to connect cloud serves to Tableau output visualizations.
Company:
B4Corp is a customer focused company that provides an outstanding compensation and B4Corp benefits. Founded in 2010, the company is headquartered in Leesburg, Virginia, USA, with a team of 11-50 employees. The company is currently Early Stage.