Cloud Application Engineer
About The Position
iQuasar is seeking to fill the Cloud Application Engineer in San Diego, CA. At iQuasar, we strive to provide the next generation of cutting-edge technologies. Our growth means exciting career opportunities for talented professionals in engineering, software development, and other key areas. We offer competitive compensation and benefits, including Health, Vision, and Dental Insurance, a matching 401 (k) plan, and other benefits given below, excellent training, and a vibrant working environment. Our employees are exceptional, giving us a competitive advantage by innovating solutions with a strong sense of mission and integrity. One of our clients in CA needs a Cloud Application Engineer for a full-time position. Position: Cloud Application Engineer Location: San Diego, CA Position Type : Full-time position Clearance: Secret Job 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.
Requirements
- 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.
Responsibilities
- 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.
- 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.
Benefits
- A Supportive and Equitable Working Environment that is both Stimulating and Challenging
- Competitive Hourly Salary
- Unique Employee Success Sharing Program that allows ATP employees to share in the Company's Successes
- Automatic Approved Overtime (if the contract permits).
- Retirement Pay (401K); 100% company paid, immediately vested with Profit-Sharing Component
- Company Medical Coverage Plans - HMO, Open Access, PPO plans
- Company Dental Plan - widely accepted, comprehensive, and flexible.
- Progressive Overtime Policy
- Flexible Spending Account benefit
- Lucrative Referral Bonus Policy
- Holiday Scheduling that Coincides with Government Holidays
- Robust Professional Expenses & Training Program
- Computer Allowance
- Internet Allowance
- Short- and Long-Term Disability
- Life Insurance
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
101-250 employees
