Python Manager
3 weeks ago
Responsibilities :
- Lead and manage a team of Python Full Stack, Data Engineering, and AI/ML engineers, fostering a collaborative and high-performance culture.
- Provide technical leadership and guidance to the team, ensuring adherence to best practices, coding standards, and architectural principles.
- Drive the technical vision and strategy for projects, aligning with overall business objectives.
- Oversee the design, development, and deployment of robust and scalable full-stack applications using Python and relevant front-end technologies.
- Guide the development of data pipelines, data warehousing solutions, and ETL processes using Python and data engineering tools.
- Provide technical direction for the integration and implementation of AI/ML models and solutions.
- Collaborate with product managers, designers, and other stakeholders to define product requirements and translate them into technical specifications.
- Manage project timelines, resources, and budgets effectively, ensuring on-time and high-quality delivery.
- Mentor and coach team members, fostering their professional growth and technical expertise.
- Participate in recruitment and onboarding of new engineering talent.
- Drive continuous improvement within the engineering team, promoting innovation and adoption of new technologies.
- Ensure the reliability, performance, and security of developed applications and systems.
- Communicate effectively with both technical and non-technical :
- 12+ years of progressive experience in software development, with a strong focus on Python.
- Significant hands-on experience in Python full-stack development, including both front-end (e.g., Angular, React) and back-end technologies (e.g., Django, Flask, FastAPI).
- Proven experience in data engineering principles and tools, including data pipelines, ETL processes, and data warehousing.
- Solid understanding of AI/ML concepts and experience in guiding the implementation of AI/ML solutions using Python libraries (e.g., TensorFlow, PyTorch, scikit-learn).
- Demonstrated experience in leading and managing engineering teams, including performance management, mentoring, and career development.
- Strong understanding of software development methodologies (e.g., Agile, Scrum).
- Excellent problem-solving, analytical, and decision-making skills.
- Exceptional communication, collaboration, and interpersonal skills.
- Ability to thrive in a fast-paced and dynamic Qualifications :
- Familiarity with containerization technologies (e.g., Docker, Kubernetes).
- Experience with CI/CD pipelines and DevOps practices.
- Understanding of database technologies (both relational and NoSQL).
- Experience in a leadership role within a product-driven organization
(ref:hirist.tech)
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