Duplicate of Cloud Engineer

3 weeks ago


McLean, United States Crimson Phoenix Full time

As a Cloud Engineer, you will be responsible for working 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 in support of the mission

What You Will Be Doing :

  • Leading work to optimize cloud-based computing technologies, such as leveraging pyspark, distributed computation, and model training/inference, and integrating solutions into relevant delivery mechanisms or partner systems.
  • Building tools and scripts to monitor, troubleshoot, automate, and deploy AI models and outputs as part of a variety of existing business analytic platforms.
  • Being 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.
  • Applying, developing, and deploying cloud microservices and integration of cloud resources with on prem high performance computation servers to support the customer's efforts.
  • Creating and using optimal solutions to store and host information.
  • Creating software pipelines to query databases of interest, combine and merge data sources, and analyze information.
  • Using the customer's knowledge management, version control, coding standards, and delivery platforms.
  • Championing and managing requirements, builds, upgrades, and fixes within multiple (dev, test, production) environments.
  • Assisting developers and data scientists with code deployments, particularly providing CI/CD configuration.
  • Leveraging available solutions to create automations that enable timely tipping and queuing.
  • Optimizing open-source software to accelerate mission solutions and minimize proprietary dependencies at the direction of the customer.
  • Using a microservice-based architecture and agile coding for engineering and development activities to support reliable network performance, modern resource management, and security processes.
  • Developing 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.
Required Skills:

Must Have :
  • MUST HAVE a Current and Active Top Secret SCI with Polygraph, as the customer is NOT sponsoring clearances.
  • Experience with Python, Bash, and Terraform.
  • 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).
  • Experience with automated testing and deployment of infrastructure or configurations.
  • 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.
  • 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.
  • 10 years of related experience and a Bachelor's degree in a related field.
Desired Skills:

Nice to Have :
  • 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.
  • Experience with front-end web development frameworks such as Flask.
  • Experience using Tableau to connect cloud serves to Tableau output visualizations.

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