AWS Software Engineer - (Remote)

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 Software Engineer – Python (Contract) Location: Remote (U.S.) Duration: W2 12-Month Contract (High Potential for Extension) Schedule: Full-Time (40 hours/week) | Must be available during Pacific Time business hours Pay rate: $40-65/hr+ Depends on experience level (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, SNSEKS, ECS, S3, ALBTerraform (Infrastructure as Code)Event-driven and serverless architecturesExperience 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). #INDBH123