AWS Cloud Engineer (Remote)

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). INDBH