Job brief
We are seeking a highly skilled Python Developer to join our engineering team and lead the development of our core backend services. You will work on architecting microservices that process millions of requests, optimizing our data ingestion pipelines, and ensuring our platform remains secure and performant. This is an exciting opportunity to influence our technical roadmap while working with a modern stack including Python 3.11+, PostgreSQL, and AWS. If you are passionate about elegant code, system performance, and solving complex architectural challenges, we would love to have you on our team.
Key highlights
- Design and implement high-performance backend microservices using Python, FastAPI, or Django to support our core product features.
- Architect and maintain scalable data processing pipelines to handle complex transformations and large-scale data ingestion tasks.
- Optimize database performance by writing complex SQL queries and designing efficient schemas within PostgreSQL or similar relational systems.
- Develop and document secure RESTful APIs to ensure seamless communication between frontend client applications and backend infrastructure.
What is a Python Developer?
A Python Developer is a software engineer specialized in designing, implementing, and maintaining robust backend applications, data processing pipelines, and automation tools using the Python ecosystem. By leveraging frameworks like Django, FastAPI, or Flask, a Python Developer architects high-performance systems that handle complex business logic and high-volume data streams. Their deep knowledge of Python-based libraries such as Pandas, NumPy, and SQLAlchemy is essential for creating scalable, maintainable, and secure digital infrastructure that supports critical organizational objectives.
What does a Python Developer do?
On a daily basis, a Python Developer writes efficient, clean, and testable code, designs RESTful or GraphQL APIs, and integrates external services via secure API endpoints. They perform deep-dive debugging into production environments using tools like Sentry or PDB, optimize database queries in PostgreSQL or MongoDB, and manage containerized deployments using Docker and Kubernetes. Beyond individual coding tasks, they frequently participate in code reviews, contribute to architectural strategy meetings, and refine CI/CD pipelines in GitLab or GitHub Actions to accelerate the release cycle.
Key responsibilities
- Design and implement high-performance backend microservices using Python, FastAPI, or Django to support our core product features.
- Architect and maintain scalable data processing pipelines to handle complex transformations and large-scale data ingestion tasks.
- Optimize database performance by writing complex SQL queries and designing efficient schemas within PostgreSQL or similar relational systems.
- Develop and document secure RESTful APIs to ensure seamless communication between frontend client applications and backend infrastructure.
- Conduct thorough unit, integration, and performance testing using PyTest to ensure application reliability before production deployment.
- Collaborate with DevOps engineers to containerize applications using Docker and orchestrate deployments via Kubernetes or AWS ECS.
- Identify and resolve performance bottlenecks in production by analyzing telemetry data from monitoring tools like Datadog or New Relic.
- Participate in technical design reviews and peer code reviews to maintain high code quality standards and promote knowledge sharing.
Requirements and skills
- Expert-level proficiency in Python with 3+ years of experience building production-grade web applications or backend services.
- Advanced knowledge of modern Python frameworks such as Django, FastAPI, or Flask and their respective integration capabilities.
- Experience managing relational databases, including schema design, query optimization, and performance tuning for PostgreSQL or MySQL.
- Hands-on experience deploying and managing cloud infrastructure on AWS, GCP, or Azure using Infrastructure-as-Code tools like Terraform.
- Strong understanding of CI/CD best practices and version control workflows using Git and platforms such as GitHub or GitLab.
- Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical industry experience.
- Professional certification in cloud computing, such as AWS Certified Developer or Google Professional Cloud Developer, is a strong plus.
- Demonstrated ability to translate high-level business requirements into technical specifications and clean, maintainable code architectures.
FAQs
What does a Python Developer do on a daily basis?
A Python Developer spends their day writing and refactoring server-side code, designing efficient API architectures, and optimizing database interactions to reduce latency. They also collaborate with QA and DevOps teams to troubleshoot production issues, run automated tests, and ensure smooth deployments through CI/CD pipelines. A significant portion of the role involves solving complex logic problems and ensuring the codebase remains secure and scalable.
What are the essential skills for a Python Developer?
Beyond proficiency in Python and its core libraries, a Python Developer must have a solid grasp of web frameworks like Django or FastAPI and database technologies like PostgreSQL or Redis. Familiarity with cloud platforms such as AWS or Azure is increasingly vital for modern deployments. Additionally, strong skills in version control (Git), containerization (Docker), and understanding software design patterns are essential for writing production-grade, maintainable software.
Who does a Python Developer work with in an engineering team?
A Python Developer works closely with frontend engineers to integrate API endpoints, as well as with DevOps engineers to manage deployment environments and infrastructure. They frequently partner with Product Managers to translate feature requests into technical specs and with QA engineers to ensure comprehensive test coverage. In data-heavy organizations, they may also collaborate with Data Scientists to operationalize machine learning models.
Why is a Python Developer important for a business?
A Python Developer is critical because they build the server-side logic that powers digital products, ensuring that systems are secure, scalable, and responsive. Their work directly impacts the user experience by reducing system downtime and improving processing speeds for complex tasks. By leveraging Python’s massive ecosystem, these developers enable companies to rapidly prototype new features and maintain a competitive edge in their industry.