Position: Senior Python Developer with DevOps Expertise
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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