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# Cloud Developer

- **Company:** Alignly Consulting LLC
- **Location:** McLean, VA, United States
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Confluence, JIRA, Automation of Tests, Bash Shell, Big Data, Cloud Computing, Cloud Database, Cyber Security, Continuous Integration, Extract Transform Load (ETL), Data Visualization, Programming Tools, Distributed Systems, Github, Python (Programming Language), Machine Learning, Cloud Services, SQL Databases, Tableau (Software), Web Application Frameworks, Anaconda, Flask (Web Framework), Generative AI, HybridCloud, Pyspark, Deployment Automation, Apache Nifi, Terraform, Data Pipelines, Automation Anywhere, Devsecops, Jenkins
- **Published:** June 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=f5b8de69ee8318fd

## About the Role

Do you have experience in Tooling?, Programming: Python, Bash, Terraform.
Development Tools: Anaconda, Git/GitHub, Jenkins, Jira, Confluence.
Cloud & Databases: AWS, SQL databases, cloud/on-prem integration.
Data Pipelines: Apache NiFi or similar ETL tools.
Automation & Security: CI/CD, automated testing, DevSecOps practices, cybersecurity knowledge.
Communication: Comfortable presenting technical work to stakeholders.
,
Desired Skills

Nice to Have
Experience fine-tuning or deploying AI/ML models (classification, prediction, generative AI).
Exposure to Flask or other web frameworks.
Connecting cloud data to visualization tools (e.g., Tableau).
Interest in optimizing AI workflows in secure environments.

## Description

We're looking for a Cloud Developer to help design and support hybrid cloud and on-premises systems that power advanced analytics and AI. In this role, you'll work with data scientists and engineers to build modern solutions, automate deployments, and keep systems secure and reliable.

What You'll Do
Design and support cloud/on-prem solutions that enable advanced AI applications.
Work with distributed computing and model training tools (e.g., PySpark, AWS).
Build scripts and tools to automate deployments and monitor AI models.
Create pipelines to connect, merge, and analyze large datasets.
Support CI/CD pipelines and multiple environments (development, test, production).
Integrate cloud services with high-performance on-prem servers.
Ensure system performance, monitoring, security, and responsiveness.
Partner with data scientists to deploy and maintain AI models.


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