
Python Developer
19 hours ago
Job Role/Title : Python Developer ETL & Data Pipeline Automation
Experience Range : 5-14
Location : Bangalore(Hybrid) -looking for Immediate to 20 days notice
About the Role :
We are looking for a Senior Python Developer (L6) to join our engineering team and lead the development of robust, scalable backend systems while integrating cutting-edge AI/LLM solutions.
This role sits at the intersection of backend engineering, data pipelines, and AI/GenAI integration, requiring strong expertise in Python, ETL workflows, distributed systems, and large-scale system design. Beyond writing high-quality code, you will lead by example, mentor peers, and collaborate cross-functionally to deliver high-impact, data-driven, and AI-powered solutions.
Key Responsibilities :
System Architecture & Backend Engineering :
- Architect, design, and implement secure, scalable backend systems using Python.
- Develop and optimize ETL workflows and data pipelines leveraging Pandas, Hive SQL, and distributed data systems.- Design and maintain RESTful APIs using Flask/FastAPI, ensuring modularity, scalability, and reliability.
- Integrate structured/unstructured data pipelines into backend services and AI workflows.
- Ensure high performance, fault tolerance, and observability across all services.
AI/LLM & Data Integration :
- Integrate Large Language Models (LLMs) and GenAI-powered features into core applications.
- Build robust AI-driven systems with safeguards against hallucinations and reliability issues.
- Leverage agentic frameworks and AI automation for workflow enhancement.
- Practical experience with OpenAI developer ecosystem (Completions, Responses, Files) and SDKs (Agents SDK, Web Search).
- Familiarity with AI debugging/monitoring tools (Phoenix, LangSmith, etc.).
- Configure, monitor, and optimize Elasticsearch clusters for indexing, querying, and analytics performance.
Engineering Excellence & DevOps :
- Define and enforce best practices in coding, testing, code reviews, and CI/CD automation.
- Ensure strong observability through logging, monitoring, and alerting.
- Write unit, integration, and functional tests to ensure high-reliability systems.
- Build and maintain CI/CD pipelines to support automated testing, smooth deployments, and rollback strategies.
Collaboration & Leadership :
- Partner with Data Scientists, Analysts, and cross-functional teams to enable data-driven applications and reporting.
- Mentor junior engineers and champion a culture of engineering excellence.
- Collaborate with stakeholders to align solutions with business and product goals.
- Document pipeline architecture, automation logic, and API specifications clearly.
Required Skills & Experience :
- 5 to 12 years of professional Python development experience.
- Proven expertise in backend system design, microservices, and APIs at scale.
- Strong experience with data pipelines, ETL frameworks, and distributed data systems.
- Hands-on experience with Pandas, Hive SQL, Elasticsearch, and workflow orchestration.
- Expertise in LLMs, GenAI integrations, and AI-enhanced/agentic workflows.
- Proficiency in Flask/FastAPI for backend/API development.
- Strong database experience (e.g., PostgreSQL) across real-time and batch workloads.
- Solid knowledge of DevOps practices including CI/CD, monitoring, and observability.
- Excellent debugging, problem-solving, and communication skills.
- Demonstrated leadership in mentoring, cross-team collaboration, and stakeholder management
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