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Position: Senior Python Developer with DevOps Experience
Location: USA, Remote
Type: Full-time
Experience Level: Mid/Senior
About Us:
Aesthetics360 is an early-stage medical technology company developing AI-driven tools for the Medical Aesthetic and Plastic Surgery market. We leverage AWS tools and services to create innovative solutions that enhance patient experiences, streamline practice operations, and enable data-driven decision-making. Our mission is to set new standards for technology in aesthetic medicine, fostering innovation in patient care and practice management.
Key responsibilities:
• Develop, test, and maintain high-quality software using Python.
• Design and implement APIs using FastAPI.
• Work with Pydantic for data validation and serialization.
• Use SQLAlchemy for ORM and database interactions.
• Manage PostgreSQL databases effectively.
• Develop and deploy serverless applications.
• Design, implement, and manage AWS-based cloud infrastructure.
• Implement infrastructure as code using tools like Terraform or CloudFormation.
• Monitor and optimize system performance and costs in AWS environments.
• Collaborate with cross-functional teams to define, design, and ship new features.
Requirements:
• Strong experience with Python and related frameworks
• Proficiency in PostgreSQL and database management.
• Experience with AWS services, including Lambda, Cognito, ECS, API Gateway, Fargate, RDS, EC2, S3, and CloudWatch.
• Proven experience in DevOps practices and tools (e.g., Jenkins, GitLab CI, GitHub Actions).
• Experience with serverless architecture and microservices.
• Solid understanding of infrastructure as code principles and tools (e.g., Terraform, CloudFormation).
• Proficiency in containerization technologies such as Docker and container orchestration with Kubernetes or ECS.
• Experience with monitoring and logging tools in cloud environments.
• Solid understanding of software development best practices, including code reviews, unit testing, and version control.
• Excellent problem-solving skills and attention to detail.
• Ability to work in a collaborative team environment.
• Strong communication skills in English, with a proficiency level of B2 or higher.
Preferred qualifications:
• AWS certifications (e.g., AWS Certified DevOps Engineer, AWS Certified Solutions Architect).
• Experience with configuration management tools
• Knowledge of security best practices in cloud environments.
• Familiarity with AI/ML deployment workflows.
Familiar with CI/CD pipelines for automated testing and deployment.
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