Cloud Developer

SAIC•McLean, VA

About The Position

SAIC is seeking a Cloud Developer to support specializing in cloud development of relevant processes, tools, and integrated systems to format, load, analyze, and display large-volume data streams, arriving in a variety of format. This positions is located in McLean, VA and requires an active TS/SCI security clearance with Polygraph to be considered. Work 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. 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 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. 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. 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. 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.

Requirements

Active TS/SCI clearance with Polygraph.
Bachelors and 9 years or more experience; Masters 7 years or more experience.
Demonstrated experience with Python, Bash, and Terraform.
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.
Ability to perform 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.
Ability to optimize 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.
Experience preparing presentations and presenting to senior stakeholders.

Responsibilities

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.
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 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.
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.
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.
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.