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Python Engineer
Company | Brillio |
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Location | St. Louis, MO, USA |
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Salary | $80 – $85 |
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Type | Full-Time |
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Degrees | Bachelor’s, Master’s |
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Experience Level | Senior |
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Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 5+ years of professional experience in backend development using Python.
- Strong experience with PostgreSQL, including query optimization and performance tuning.
- Proficiency in building RESTful APIs and working with JSON, XML, and authentication protocols (OAuth2, JWT).
- Familiarity with containerization tools like Docker and orchestration platforms like Kubernetes.
- Experience with version control systems such as Git.
- Solid understanding of software engineering principles, data structures, and algorithms.
Responsibilities
- Design and develop robust, scalable, and secure backend services using Python (preferably with frameworks like FastAPI, Django, or Flask).
- Build and maintain RESTful APIs and microservices architecture.
- Write clean, maintainable, and well-documented code following best practices.
- Design and optimize complex PostgreSQL schemas, queries, views, and stored procedures.
- Ensure high performance and availability of database systems.
- Implement data migrations, indexing strategies, and query optimization techniques.
- Participate in system architecture discussions and contribute to technical decision-making.
- Collaborate with DevOps and frontend teams to ensure seamless integration and deployment.
- Implement caching, queuing, and asynchronous processing where necessary.
- Work closely with product managers, QA engineers, and other developers to deliver high-quality features.
- Mentor junior developers and conduct code reviews.
Preferred Qualifications
- Experience with async programming in Python (e.g., asyncio, aiohttp).
- Familiarity with CI/CD pipelines, unit testing, and test-driven development (TDD).
- Exposure to cloud platforms such as AWS, Azure, or GCP.
- Knowledge of message brokers like RabbitMQ, Kafka, or Redis Streams.
- Experience with monitoring and logging tools (e.g., Prometheus, Grafana, ELK stack).