Cloud Developer

Description

SAIC's Space & Intel Business Group, USG Mission and Information Technology Division, is seeking a Cloud Developer to provide data-driven, business analysis to support senior organizational leaders. The Customer requires specialized skills in could development of relevant processes, tools, and integrated systems to format, load, analyze, and display large-volume data streams, arriving in a variety of formats.

This position is currently located in McLean, VA and requires an active TS/SCI clearance with Polygraph .

Job responsibilities include, but are not limited to:

• 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.
• 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.
• Build tools and scripts to monitor, troubleshoot, automate, and deploy AI models and outputs as part of a variety of existing business analytic platforms.
• 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.
• Apply, develop and deploy cloud microservices and integration of cloud resources with on prem high performance computation servers to support the Customer's efforts.
• Create and use optimal solutions to store and host information.
• Create software pipelines to query databases of interest, combine and merge data sources, and analyze information.
• Use the Customer's knowledge management, version control, coding standards, and delivery platforms.
• Champion and manage requirements, builds, upgrades, and fixes within multiple (dev, test, production) environments.
• Assist developers and data scientists with code deployments, particularly providing CI/CD configuration.
• Leverage available solutions to create automations that enable timely tipping and queuing.
• Optimize open-source software to accelerate mission solutions and minimize proprietary dependencies at the direction of the Customer.
• Use a microservice-based architecture and agile coding for engineering and development activities to support reliable network performance, modern resource management, and security processes.
• 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

• Active TS/SCI with Polygraph.
• Bachelors and 14 years or more experience; Masters and 12 years or more experience; PhD or JD and 9 years or more experience.
• Demonstrated experience with the following:
  • Python, Bash, and Terraform.
  • Anaconda for development purposes.
  • 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).
  • Automated testing and deployment of infrastructure or configurations.
  • Administration, provisioning, and use of cloud technologies (i.e. AWS) particularly with application of data science approaches in the cloud.
  • Deploying and tuning Apache NiFi or other ETL workflows.
  • Hosting and managing Structured Query Language (SQL) databases within cloud based relational databases.
  • Optimizing connectivity between cloud-based services and on prem high performance cloud compute servers.
  • DevSecOps solutions and tools.
  • Cyber security domain to include: governance and risk management, compliance, encryption, software development security, access control, network security or secure architecture, or security operations.
  • Preparing presentations and presenting to senior stakeholders.

Desired Skills:

• Experience supporting data scientists to create-through fine tuning, transfer learning-models for classification, prediction, generative AI, or other similar tasks.
• 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.

SAIC accepts applications on an ongoing basis and there is no deadline.

Covid Policy: SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.