Cloud Developer

Rapid Cycle Solutions, LLC•McLean, VA

10d•Onsite

About The Position

Rapid Cycle Solutions LLC (RCS) is an innovative small business providing IT and management consulting services to the U.S. Federal Government and commercial clients. We have unique strengths in complex, cross-organizational solution analysis, design, development, implementation, and change management supporting enterprise requirements. Our team of professionals has deep consulting backgrounds supporting the unique needs of our clients. Our team members have proven experience leading strategic initiatives within the civilian Government agencies. Note: Please ensure you meet the Security Clearance obligations before applying to optimize your consideration for this and other employment opportunities with RCS. RCS is seeking a Cloud Developer to provide data-driven, business analysis to support senior organizational leaders and requires 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 formats. This position requires the candidate to meet specific Security Clearance obligations to work onsite in McLean, VA. Relocation assistance is not available.

Requirements

Clearance: Active TS/SCI clearance with Full Scope Polygraph
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.

Nice To Haves

Supporting data scientists to createthrough fine tuning, transfer learningmodels for classification, prediction, generative AI, or other similar tasks.
Optimizing the deployment of AI models in the cloud.
Front-end web development frameworks such as Flask.
Using Tableau to connect cloud servers to Tableau output visualizations.

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.
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 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 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 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.
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.