Senior Python Developer

Position: Senior Python Developer with DevOps Experience

Location: USA, Remote

Type: Full-time

Experience Level: Mid/Senior

About Us:

Aesthetics 360 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, EC 2, S 3, 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 B 2 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.