Location: McLean, VA
Onsite: 100%
In Bid / Vacant: Vacant
Work Authorization: US Citizenship is required.
Clearance: TS/SCI Full Scope Poly (active)
Type: Full Time
Skill Level: 7 years to SME
Salary Range: Commencing with experience
Benefits: The standard compensation package consists of a competitive salary, 100% company-paid health/dental/vision care benefits, 100% company-paid LTD/STD/Life Insurance benefits, a 401(k) with company match, and a generous holiday/vacation/sick leave policy.
Introduction: Working with data scientists and engineers to optimize cloud-based computing technologies, build tools and scripts for monitoring and deploying AI models, and create software pipelines for data analysis. You will also be responsible for optimizing solutions for availability, latency, performance, efficiency, security, and capacity planning.
Role Description:
1. Architect, operate, and document relevant cloud-on prem hybrid solutions
2. Optimize cloud-based computing technologies and integrate solutions into relevant delivery mechanisms
3. Build tools and scripts to monitor, troubleshoot, automate, and deploy AI models
4. Responsible for solutions related to analytic work in key areas such as availability, latency, and security
5. Apply, develop, and deploy cloud microservices and integration of cloud resources with on prem high performance computation servers
6. Create optimal solutions to store and host information
7. Create software pipelines to query databases, combine and merge data sources, and analyze information
8. Champion and manage requirements, builds, upgrades, and fixes within multiple environments
9. Assist developers and data scientists with code deployments
10. Leverage available solutions to create automations
11. Use a microservice-based architecture and agile coding for engineering and development activities
12. Develop analytical software packages, pipelines, and custom virtual environments for deployment in secure environments
Requirements:
1. Demonstrated experience with Python, Bash, and Terraform.
2. Demonstrated experience Anaconda for development purposes.
3. 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).
4. Demonstrated experience with automated testing and deployment of infrastructure or configurations.
5. Demonstrated experience in the administration, provisioning, and use of cloud technologies (i.e. AWS) particularly with application of data science approaches in the cloud.
6. Demonstrated experience deploying and tuning Apache NiFi or other ETL workflows.
7. Demonstrated experience hosting and managing Structured Query Language (SQL) databases within cloud based relational databases.
8. Demonstrated experience optimizing connectivity between cloud-based services and on prem high performance cloud compute servers.
9. Demonstrated experience with DevSecOps solutions and tools.
10. 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.
11. Demonstrated experience preparing presentations and presenting to senior stakeholders.
Nice to Have:

1. Demonstrated experience supporting data scientists to create-through fine tuning, transfer learning-models for classification, prediction, generative AI, or other similar tasks.
2. 2. Demonstrated experience optimizing the deployment of AI models in the cloud.
3. 3. Demonstrated experience with front-end web development frameworks such as Flask.
4. 4. Demonstrated experience using Tableau to connect cloud serves to Tableau output visualizations.

Note:

• No 3rd Party Vendors or 3rd Party Candidates