Duplicate of Cloud Engineer - McLean, United States - Crimson Phoenix

Crimson Phoenix McLean, United States

1 week ago

Description

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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