Pay Rate Low: 40 | Pay Rate High: 70
Our client is a global biotechnology company seeking an experienced
AWS Cloud Engineer with strong
Python development skills to support the design and modernization of cloud-based data engineering and bioinformatics platforms.
Position: AWS Cloud Engineer - Python (Contract)
Location: Remote (U.S.)
Duration: 12-Month Contract (High Potential for Extension)
Schedule: Full-Time (40 hours/week) | Must be available during Pacific Time business hours
Pay rate: $40-45/hr+ (Benefits included)
Position Overview
This role focuses on building scalable, serverless AWS solutions, integrating AI-powered services, and developing high-performance cloud infrastructure in a collaborative research environment.
Key Responsibilities
- Design, develop, and maintain scalable cloud applications using Python and AWS.
- Build and enhance serverless architectures and event-driven applications.
- Integrate AI/GenAI solutions into internal tools to improve data accessibility and workflow automation.
- Develop cloud infrastructure using Infrastructure as Code (Terraform).
- Collaborate with cross-functional engineering teams to rapidly prototype and deliver innovative solutions.
- Support high-performance data processing pipelines and cloud-based applications.
- Follow software engineering best practices, including testing, version control, CI/CD, and documentation.
Qualifications:
- Bachelor's degree in Computer Science, Data Engineering, Bioinformatics, or a related technical field.
- 5+ years of software engineering experience with Python.
- MUST be authorized to work in the United States without sponsorship.
- AWS Developer Certification (or equivalent AWS certification).
- Strong experience developing applications in AWS cloud environments.
- Hands-on experience with:
- AWS Lambda, Step Functions, SQS, SNS
- EKS, ECS, S3, ALB
- Terraform (Infrastructure as Code)
- Event-driven and serverless architectures
- Experience with Git, CI/CD pipelines (GitLab CI preferred), and cloud deployment best practices.
- Knowledge of data structures, API/schema design, and distributed systems.
Preferred:
- Experience working within scientific, research, life sciences, or bioinformatics environments.
- Familiarity with AI/ML concepts and GenAI technologies.
- Experience with React, HTML/CSS, JavaScript, or Java.
- Experience developing applications for high-performance computing (HPC).
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