Job Description
Job Details
- Company Name: Quantum Technologies LLC
- Employment type: Part time
- Experience: Contractor
- Salary: $18 to $28 Hourly
- Location : Remote Option Available
- Work schedule : 5 days a week
Job Overview
We are seeking an experienced Senior Cloud / Platform Engineer to design, build, and operate secure, scalable applications and data platforms within highly regulated environments. This role focuses on cloud-native development, data engineering, and ML pipeline operations, with a strong emphasis on security, automation, and reliability.
The ideal candidate brings deep expertise in Python, cloud platforms (AWS/Azure), infrastructure automation, and modern CI/CD practices, along with experience supporting compliance-heavy environments such as HIPAA and FedRAMP High.
Key Responsibilities
- Ensure application security, performance, and scalability in regulated cloud environments.
- Develop clean, maintainable, and well-documented code following industry best practices.
- Troubleshoot and resolve issues across the full application and infrastructure stack.
- Participate in Agile development practices including sprint planning, stand-ups, and code reviews.
- Design and maintain CI/CD pipelines using AWS CodePipeline, CodeBuild, and Git-based workflows.
- Automate cloud infrastructure using Terraform and/or AWS CDK.
- Design, build, and operate data and ML pipelines using AWS Glue, Step Functions, Lambda, EMR, and SageMaker.
- Develop robust AWS Glue ETL jobs using Python/PySpark with strong error handling, logging, and monitoring.
- Implement monitoring, alerting, and dashboards using Amazon CloudWatch for data pipelines and ML endpoints.
- Work with relational and NoSQL databases including PostgreSQL, MySQL, and DynamoDB, as well as data lake technologies.
- Apply cloud security best practices such as IAM least privilege, encryption at rest/in transit, and secrets management.
- Contribute to architecture documentation, runbooks, operational guides, and technical design reviews.
Required Qualifications
- Strong hands-on experience working in Linux-based environments.
- Expert-level Python development skills.
- Experience building applications using Django.
- Proficiency in AWS or Azure (experience in both is highly preferred; ability to ramp up quickly on the other is required).
- Experience deploying and managing containerized applications (AWS ECS strongly preferred; Kubernetes is a plus).
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline.
- 7+ years of professional experience after formal education (internships or work-study excluded).