What are the responsibilities and job description for the Python Lead position at Diligent Tec, Inc?
Job Title: Python Lead
Location: Hybrid (Chicago, IL)
Duration: 12 months contract (Long-term)
Job Description:
We are seeking a highly skilled and experienced Python Lead to join our team in a hybrid role based in Chicago, IL. The ideal candidate will have strong expertise in Python, React, and ElasticSearch, with a proven track record of leading projects and teams in a fast-paced environment.
Responsibilities:
· Lead and manage a team of developers in designing, developing, and maintaining high-quality Python applications.
· Collaborate with cross-functional teams to define project requirements and deliverables.
· Utilize strong experience in React to create dynamic and responsive web applications.
· Implement and manage Elastic Search solutions to ensure efficient data retrieval and analysis.
· Provide technical guidance and mentorship to team members, fostering a culture of continuous learning and improvement.
· Ensure code quality, security, and performance through regular code reviews and best practices.
· Troubleshoot and resolve technical issues, ensuring minimal disruption to project timelines.
· Stay up-to-date with the latest industry trends and technologies to drive innovation and improve processes.
Requirements:
· Bachelor's degree in Computer Science, Engineering, or a related field.
· 10 to 15 years of experience in Python development, with a focus on backend systems.
· Strong experience with React and ElasticSearch.
· Proven leadership experience, with the ability to manage and mentor a team of developers.
· Excellent problem-solving skills and attention to detail.
· Strong communication and interpersonal skills.
· Familiarity with Agile methodologies and project management tools.
Preferred Qualifications:
· Master's degree in Computer Science or a related field.
· Experience with other programming languages and frameworks.
· Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).