Senior Python Engineer

7 days ago

Bengaluru, Karnataka, India TEAM GEEK SOLUTIONS PRIVATE LIMITED Full time

Job Title : Senior Python Engineer Data Engineering.

Location : Bengaluru or Hyderabad.

Experience Level : 5+ years.

Notice Period : Immediate Joiner.

About The Role :


We are hiring a Senior Python Engineer who brings deep expertise in data engineering and building production-ready APIs, along with a strong ability to work autonomously and drive technical excellence. Youll lead the development of scalable backend systems and data infrastructure that power AI-driven applications across our platform. This role is ideal for someone who thrives in high-performance teams and embraces modern development practicesespecially AI-assisted coding for speed and quality.

Key Responsibilities :

- Design, develop, and maintain high-performance APIs and microservices using Python (FastAPI, Flask, etc.)

- Build and optimize scalable data pipelines, ETL/ELT processes, and orchestration frameworks.

- Use AI development tools like GitHub Copilot, Cursor, or CodeWhisperer to accelerate engineering velocity and code quality (this is a must-have).

- Architect resilient and modular backend systems integrated with PostgreSQL, MongoDB, and Elasticsearch.

- Manage workflows and event-driven architectures using tools such as Airflow, Dagster, or Temporal.io.

- Collaborate with cross-functional teams to deliver production-grade systems in cloud environments (AWS/GCP/Azure).

- Ensure high test coverage, observability, and reliability across services.

Must-Have Qualifications :

- 5+ years of hands-on experience in Python backend/API development.

- Strong background in data engineering and workflow orchestration tools.

- Proficiency with AI-enhanced development environments like Copilot, Cursor, or equivalent tools.

- Solid experience with Elasticsearch, PostgreSQL, and scalable data solutions.

- Familiarity with Docker, CI/CD, and cloud-native deployment practices.

- Ability to take ownership of features from idea to production.

Nice To Have :

- Experience with Temporal.io or other distributed workflow engines (very important).

- Background in AI/ML systems, including PyTorch or TensorFlow.

- Familiarity with LangChain, LLMs, and vector search tools (e.g., FAISS.

(ref:hirist.tech)

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