Backend Software Engineer (Python and API Development)

Job description

A growing technology team is seeking a backend software engineer to build and scale high-performance services and APIs. This role focuses on developing robust server-side applications, integrating distributed systems, and supporting modern data-driven and AI-enabled platforms.

The position requires strong expertise in Python-based development, API design, and scalable system architecture. The engineer will collaborate with cross-functional teams to deliver reliable, performant, and maintainable solutions that support evolving business needs.

Responsibilities

• Design and implement backend services and RESTful APIs using Python and modern frameworks
• Develop scalable server-side systems that support high-volume data processing and real-time interactions
• Build and maintain distributed systems using cloud-native technologies and messaging patterns
• Implement efficient database interactions across relational and non-relational systems
• Optimize application performance using caching strategies, concurrency, and parallel processing techniques
• Integrate messaging and event-driven systems using publish and subscribe patterns
• Contribute to AI-related initiatives, including systems that support large language models and intelligent processing workflows
• Write and maintain unit, integration, and regression tests to ensure software quality and reliability
• Participate in code reviews and collaborate with cross-functional teams to deliver high-quality solutions
• Support CI and CD pipelines to enable efficient build, test, and deployment cycles
• Use version control and scripting tools to manage and automate development workflows
• Work within established development methodologies to support consistent and iterative delivery

Required experience and skills

• Strong proficiency in Python and SQL
• Experience building APIs using frameworks such as FastAPI
• Expertise in RESTful API design and server-side application development
• Experience working with distributed systems, including containerized or serverless environments
• Knowledge of relational and non-relational databases and ORM frameworks
• Experience with performance optimization techniques, including caching (such as Redis), threading, and parallel processing
• Strong understanding of testing practices, including unit, integration, and regression testing
• Experience with automated testing frameworks and mocking techniques
• Familiarity with CI and CD tools and workflows
• Experience with at least one major cloud platform such as AWS, Azure, or Google Cloud
• Strong collaboration skills and experience working in cross-functional teams

FAQ

1. What are the primary responsibilities of a Backend Software Engineer specializing in Python and API development?
A Backend Software Engineer designs, develops, and maintains server-side applications and APIs that power web, mobile, and enterprise applications. The role focuses on building scalable backend services, integrating data sources, optimizing system performance, and ensuring applications are secure, reliable, and maintainable.

2. What types of backend systems are commonly developed in this role?
Backend engineers build RESTful APIs, microservices, authentication services, data processing systems, event-driven applications, cloud-native services, and backend platforms that support business applications, analytics, and AI-powered solutions.

3. How does Python support backend application development?
Python enables rapid development of scalable backend applications through modern frameworks, automation capabilities, and extensive libraries. It is commonly used for API development, business logic implementation, data processing, cloud services, and AI-enabled backend systems.

4. What is the importance of RESTful API development in this position?
RESTful APIs enable secure and efficient communication between applications, services, and client interfaces. Backend engineers design well-structured APIs that support system integration, data exchange, authentication, and scalable application architecture.

5. How does this role contribute to cloud-native and distributed systems?
The engineer develops backend services that run in cloud environments and distributed architectures. Responsibilities include supporting scalable deployments, integrating messaging systems, optimizing resource utilization, and ensuring reliable communication across multiple services.

6. What role do databases and data management play in this position?
Backend engineers design efficient data access patterns, optimize database performance, and manage interactions with relational and non-relational databases. They ensure data consistency, integrity, and availability while supporting application scalability.

7. How does the Backend Software Engineer support AI-enabled applications?
The role may develop APIs and backend services that integrate machine learning models, large language models (LLMs), intelligent automation workflows, and AI-powered features. These services provide the infrastructure needed for AI applications to process requests, manage data, and deliver intelligent responses.