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# Cloud Application Engineer

- **Company:** Iquasar, LLC.
- **Location:** San Diego, CA, United States (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Bash Shell, Big Data, Software as a Service, Cloud Computing, DevOps, Github, Information Systems Security Architecture Professional, Python (Programming Language), PostgreSQL, Machine Learning, MongoDB, MySQL, NoSQL, Redis, Digitalocean, Ansible, Tensorflow, Swagger, Software Deployment, SQL Databases, Postman, Pytorch, Backend, Git, Fastapi, Gitlab-ci, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Cassandra, HuggingFace, Graphql, Machine Learning Operations, Restful APIs, Terraform, Data Pipelines, Devsecops, Serverless Computing, Docker, Jenkins
- **Published:** August 6, 2026
- **Apply:** https://www.wayup.com/i-j-Cloud-Application-Engineer-IQUASAR-LLC-071554224087098/

## About the Role

Active Secret Security Clearance.
Bachelor's degree in Computer Science, Engineering, IT, Data Science, or related field (or equivalent experience).
2+ years' combined experience in backend engineering, DevOps/DevSecOps, or infrastructure engineering.
Strong experience with:
Python, Bash
SQL (PostgreSQL, MySQL) and NoSQL (Redis, MongoDB, Cassandra)
API technologies (FastAPI, GraphQL, REST, Swagger, Postman)
Docker, Kubernetes
Git, GitLab CI, GitHub Actions, Jenkins
Terraform, Ansible, Helm
Solid understanding of Linux/Unix systems and DoD cybersecurity practices.

## Description

iQuasar is seeking a Cloud Application Engineer to support secure backend systems, AI/ML infrastructure, and cloud-native development for our TRABUS programs. This is a hands-on technical role working across backend engineering, DevSecOps, and MLOps in secure DoD environments. You'll collaborate with data scientists, engineers, and cybersecurity teams to build high-performing, scalable, and compliant systems that power data-intensive and AI/ML-enabled applications., Design and develop APIs and backend services using Python, FastAPI, GraphQL, REST.
Build data ingestion pipelines and data models for geospatial, time-series, and large datasets.
Develop scalable cloud and serverless applications (AWS, GovCloud, Azure Government, DigitalOcean).
Integrate backend systems with AI/ML models and analytics workflows.
Build and maintain secure environments for AI/ML training, experimentation, and production deployment.
Support ML tools/frameworks: MLflow, Kubeflow, TensorFlow, PyTorch, Hugging Face.
Operationalize ML models in containerized and GPU-enabled environments.
DevSecOps & Automation
Implement secure CI/CD pipelines with integrated security scanning.
Automate infrastructure with Terraform, Ansible, Helm, and Kubernetes.
Support compliance with RMF, STIGs, NIST 800-53, and other DoD cybersecurity requirements.
Build secure architectures in AWS GovCloud, Azure Government, or DoD cloud.


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