Python Developer in Chicago, IL

Python Developer (Chicago, IL)

Python Developer will design, develop, test, deploy, and support enterprise software applications and backend services.

• Participate in the full software development lifecycle, including requirements gathering, solution design, implementation, testing, and production support.
• Collaborate with technical and business teams to deliver scalable, reliable, and maintainable software solutions.
• Analyze system performance, troubleshoot issues, and recommend improvements to enhance efficiency and stability.
• Build and maintain scalable software solutions in a cloud‑based environment.
• Analyze complex business and technical requirements and translate them into effective solutions.
• Develop high‑quality, maintainable, and reusable code following established development standards.
• Collaborate with architects, engineers, developers, and business stakeholders throughout the development lifecycle.
• Investigate and resolve production issues through monitoring, troubleshooting, and root‑cause analysis.
• Create and maintain technical documentation, functional specifications, and solution designs.
• Support automated deployment and release processes across development, testing, and production environments.
• Provide effort estimates, technical recommendations, and impact assessments for proposed changes.
• Communicate project status, risks, and issues to stakeholders and leadership.

• 8+ years of software development experience using Python.
• Strong experience with data processing and automation frameworks.
• Experience developing applications in cloud environments.
• Experience with containerization technologies such as Docker.
• Experience using Git or similar version control systems.
• Experience with application monitoring, logging, and observability tools.
• Understanding of Agile development methodologies.
• Familiarity with CI/CD pipelines, Dev Ops practices, and software delivery processes.
• Proficiency working within Linux and Windows environments.
• Strong troubleshooting and problem‑solving skills.

• Experience with relational and analytical databases.
• Experience building automation solutions and operational tooling.
• Knowledge of data warehousing and large‑scale data processing concepts.