Senior Python Developer

Role overview : - Proficient in Python, with hands-on experience using Pandas for large dataset processing.- Solid knowledge of ETL frameworks and pipeline automation strategies.- Experience with Elasticsearch : indexing, querying, and optimizing for performance.- Strong command of Hive SQL and working with distributed data systems.- Experience building APIs using Flask or similar Python frameworks.- Understanding of data modeling, schema design, and workflow orchestration.- Strong debugging, analytical, and communication skills.What would you do here : - Design, develop, and automate scalable ETL workflows using Python and Pandas.- Implement and manage data ingestion and transformation processes using Hive SQL for data warehousing.- Configure, monitor, and optimize Elasticsearch clusters for indexing, searching, and analytics performance.- Build and maintain RESTful APIs using Flask to facilitate secure data exchange.- Collaborate with Data Scientists, Analysts, and Engineering teams to support data-driven applications and reporting tools.- Ensure high standards of data quality, reliability, and integrity throughout the pipeline.- Monitor performance, debug issues, and tune queries for maximum efficiency.- Document data flows, pipeline architecture, and automation logic clearly.Senior Level : Required Skills & Experience : - 8-12+ years of experience in professional Python development. - Proven expertise in designing and building backend systems and APIs at scale. - Strong experience with LLMs, GenAI integrations, Agentic workflows and AI-enhanced workflows. - Solid understanding of microservices architecture and distributed systems. - Proficiency in automated testing and observability best practices. - Hands-on experience building and maintaining CI/CD pipelines. - Strong problem-solving, communication, and stakeholder management skills. Must Have : - Python, LLD/HLD, AI/LLM, Unit Testing, Code Reviews, CI/CD pipelines, Frameworks like Fast API, Database like Postgres, Monitoring and visualisation tools like Prometheus and Grafana, Team LeadingKey Responsibilities : System Architecture & Design : - Architect and develop secure, scalable backend systems using Python. - Lead high- and low-level design (HLD/LLD) with a focus on modularity, fault tolerance, and API best practices. - Champion performance optimization and drive observability improvements across services. AI/LLM Integration : - Integrate Large Language Models (LLMs) and GenAI-powered features into core applications. - Build robust systems that mitigate hallucinations and improve AI reliability. - Leverage agentic frameworks and AI-driven automation for process enhancement - Practical experience with OpenAI developer ecosystem, including APIs (Completions, Responses, Files) and tools/SDKs (Agents SDK, Web Search). - Familiarity with agent debugging/monitoring tools (Phoenix, LangSmith, or similar). Engineering Excellence : - Define and enforce engineering best practices across testing, code reviews, and quality gates. - Ensure strong observability through logging, monitoring, and alerting tools. - Write unit, integration, and functional tests to support high-reliability systems. DevOps & Deployment : - Build and manage CI/CD pipelines for automated testing and smooth deployments. - Ensure deployment processes support rollback, scalability, and system health. Collaboration & Leadership : - Collaborate closely with product, data, business, and DevOps teams to align on solution delivery. - Mentor and support junior engineers, fostering a culture of continuous improvement and technical excellence. Python & Backend Engineering : - Strong Python development skills with experience in frameworks like FastAPI - Proven experience designing REST APIs, microservices, and backend architectures. - Experience integrating with databases (e.g., PostgreSQL) for real-time and batch workloads. - Experience working with data pipelines and ETL frameworks (e.g., jobs moving data from GCP - Postgres) and integrating this data into backend services or AI workflows. (ref:hirist.tech)