Job Description :

- Position Practice Head Python.

- Experience 8+ Years.

- Employment Type Full-Time.

Need candidates with :

- Good in Python Basics.

- Data Analysis(Data Parsing and Mapping etc).

- Experience handling large datasets.

- Must have : good Idea on pandas and idea on Parquet files.

- Communication : Good.

About the Role :

We are seeking a seasoned and visionary Practice Head to lead our Python Automation practice.

In this senior leadership role, you will be responsible for setting the technical direction, building and mentoring high-performing engineering teams, and driving the adoption of Python-based automation solutions across the organization.

You will work closely with stakeholders to translate business needs into scalable, efficient automation strategies.

Key Responsibilities :

- Lead, grow, and mentor a team of Python engineers focused on automation and intelligent systems.

- Define and drive the technical roadmap for the Python Automation practice, ensuring alignment with business goals.

- Architect and oversee the development of large-scale automation frameworks, pipelines, and workflows.

- Champion best practices in software engineering : code quality, testing, CI/CD, and documentation.

- Partner with product, data, and infrastructure teams to deliver end-to-end automation solutions.

- Evaluate and integrate emerging technologies including Large Language Models (LLMs) for intelligent automation.

- Drive API design and development standards across the practice.

- Collaborate with database and data engineering teams on SQL-based data automation.

- Represent the practice in stakeholder meetings, technical reviews, and client engagements.

- Conduct performance reviews, career development planning, and technical hiring.

Required Qualifications :

- 10+ years of hands-on professional experience with Python, with a strong focus on automation.

- Proven experience in a technical leadership or practice lead role managing engineering teams.

- Deep expertise in Python ecosystem tools : Celery, Airflow, FastAPI, pytest, asyncio, etc.

- Strong understanding of software architecture principles and design patterns.

- Demonstrated ability to build robust, production-grade automation pipelines and frameworks.

- Proficiency in version control (Git), CI/CD pipelines, and DevOps practices.

- Excellent communication and stakeholder management skills.

- Strong problem-solving ability with a data-driven approach to decision-making.

Good to Have :

- Hands-on experience with Large Language Models (LLMs) OpenAI, Anthropic, LangChain, or similar frameworks.

- Experience integrating LLM-based agents into automation workflows (RAG, prompt engineering, tool use).

- Strong SQL skills query optimization, stored procedures, and data pipeline design.

- API development experience RESTful and GraphQL API design, documentation (OpenAPI/Swagger), and security.

- Familiarity with cloud platforms : AWS, GCP, or Azure (Lambda, Cloud Functions, etc. Experience with containerization technologies (Docker, Kubernetes).

- Knowledge of MLOps practices and integrating ML models into automation systems.

Skills at a Glance :

- Python 10+ Automation LLMs / AI SQL API Dev.

What We Offer :

- Leadership role with the opportunity to shape the future of our automation practice.

- Competitive compensation, performance bonuses, and equity participation.

- Access to cutting-edge tools, platforms, and continuous learning resources.

- A collaborative and innovative engineering culture with a strong emphasis on impact.