Senior Python Software Engineer @ Zeta Global

We are looking for a Senior Python Software Engineer with at least 5 years of hands-on experience in developing and maintaining Python-based applications. The ideal candidate is a problem solver who thrives in a fast-paced environment and is passionate about building scalable, high-performance, and secure software solutions.

In this role, you will work closely with cross-functional teams, contributing to the design, development, and optimization of our internal systems. Your expertise will help shape our technical landscape while ensuring best practices in code quality, testing, and maintainability.

Key Responsibilities:

1. Develop and maintain a variety of internal software applications using Python and related technologies.
2. Collaborate with cross-functional teams to design, develop, and implement new features and enhancements.
3. Ensure software solutions meet standards for scalability, performance, and security.
4. Write clean, efficient, and well-documented code that satisfies project requirements.
5. Participate in code reviews, providing and receiving feedback to improve overall code quality.
6. Debug, troubleshoot, and resolve software defects and technical issues in a timely manner.
7. Follow agile development methodologies, participating in sprint planning, daily stand-ups, and retrospectives.
8. Continuously improve technical skills and stay current with industry best practices and emerging technologies.
9. Conduct comprehensive unit and integration testing to ensure code quality and reliability.
10. Assist in the deployment of applications and provide ongoing maintenance of production environments to ensure smooth operations.

Required Skills & Experience:

• At least 5 years of continuous, professional experience as a Python3 Software Engineer, developing, deploying, and maintaining production-grade applications.
• Minimum 3 years of hands-on experience with at least 4 of the following Python frameworks, libraries, and tools: FastAPI, Pydantic, SQLAlchemy, Pandas, and messaging queues (e.g., Celery, Kafka, RabbitMQ).
• Minimum 3 years of experience working in a Linux/Unix environment with expertise in system navigation, scripting, and troubleshooting.
• Deep understanding of best practices for building scalable, high-performance, and secure software solutions.
• Strong analytical, problem-solving, and debugging skills with a proven ability to diagnose and resolve complex issues efficiently.
• Demonstrated commitment to continuous learning, innovation, and enhancing both individual and team performance
• Extensive experience with unit and integration testing.
• Proven expertise in designing, implementing, and maintaining robust unit and integration tests to ensure software reliability and quality.
• Ability to troubleshoot and resolve dependency conflicts, versioning issues, and environment inconsistencies.
• Self-starter with the ability to independently set up a complete Python development environment from scratch.
• Proven ability to collaborate effectively with cross-functional teams to drive projects forward and deliver high-quality solutions.
• Bachelors degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

Preferred Qualifications:

• 1+ years of experience with Python packaging using setuptools, Poetry, or related tools.
• Familiarity with publishing Python packages to PyPI or private repositories.
• Experience automating package builds and releases (e.g., GitHub Actions, Bitbucket Pipelines, CI/CD).
• Strong ability to diagnose and resolve dependency conflicts, versioning issues, and environment inconsistencies to ensure seamless development and deployment workflows
• Experience designing and configuring Python-based stacks, including FastAPI, Pydantic, SQLAlchemy, Pandas, Celery and other relevant libraries.
• Comfortable compiling and installing Python from source when necessary.
• Bachelors degree in Computer Science, Engineering, or a related field, or equivalent experience

Examples:

• Staying current with Python ecosystem updates (e.g., migrating to FastAPI for better performance and async capabilities).
• Contributing to open-source projects or engaging with developer communities.
• Earning industry certifications (e.g., AWS Certified Solutions Architect, Google Cloud Professional Developer).
• Implementing automation to streamline CI/CD pipelines and enhance deployment efficiency.
• Researching and adopting best practices for security and performance optimizations in production environments.