Back-End Python Developer

Digital Management - Cincinnati, OH

Full-time - Senior

Hybrid - Cincinnati, OH

1,001-5,000 employees

Professional, Scientific, and Technical Services

About the position

DMI is seeking an experienced Back-End Python Developer to design and maintain scalable SaaS applications. The role involves collaborating with cross-functional teams to implement backend services, ensuring reliability and performance optimization while handling complex data processing workflows.

Responsibilities

• Design, build, and maintain server-side logic, databases, and APIs for the SaaS platform using Python.
• Develop and deploy microservices that support modular and scalable back-end systems.
• Optimize database queries and manage data models for performance and reliability.
• Develop and maintain RESTful APIs for seamless data flow between frontend and backend components.
• Write clean, maintainable, and efficient code following industry best practices, including automated testing and CI/CD workflows.
• Collaborate with frontend developers, DevOps engineers, and product managers to integrate new features and troubleshoot issues.
• Implement solutions for data ingestion, processing, and analytics.
• Ensure backend services are secure, following best practices for authentication and data protection.
• Continuously monitor and improve the performance of backend services.

Requirements

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
• At least 5 years of Python development experience, particularly in developing and maintaining SaaS products.
• Proficiency with Python-based frameworks like Django, Flask, or similar.
• Proven experience in designing, developing, and deploying microservices.
• Strong experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB).
• Proven experience building and integrating RESTful APIs.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
• Experience with CI/CD tools for automating deployment pipelines.
• Experience with unit testing, integration testing, and debugging in Python.
• Experience working in Agile/Scrum environments.

Nice-to-haves

• Familiarity with handling large datasets and data processing frameworks.
• Certifications in AWS, Azure, or Google Cloud.
• Experience with DevOps practices, including containerization (e.g., Docker, Kubernetes).

Benefits

• Commuter assistance
• Health insurance
• Tuition reimbursement
• Employee assistance program
• 401(k) matching
• Life insurance
• Referral program
• Pet insurance