Senior Python Developer

Role Overview

• Lead the design and development of RESTful and GraphQL APIs using Python frameworks such as FastAPI, Django, and Flask.
• Architect scalable backend systems, microservices, and asynchronous workloads using Redis, RabbitMQ.
• Build data models and implement business logic across SQL (PostgreSQL, MySQL) and building knowledge graph using Neo4j, Postgre AGE, Handling vector databases like pgvector, qdrant.
• Integrate third‑party APIs, cloud services, and secure authentication/authorization mechanisms including OAuth2 and JWT.
• Develop responsive, scalable, and user‑friendly web interfaces using modern JavaScript frameworks (preferred: React).
• Implement reusable UI components, state management, and seamless API integrations.
• Translate UI/UX designs and wireframes into production‑ready code in collaboration with design teams.
• Utilize Docker, Kubernetes, Nginx, Terraform, and related technologies for scalable infrastructure and deployment automation.
• Ensure system observability using advanced logging, monitoring, alerting, and error‑tracking tools such as Prometheus, Grafana.
• Optimize code performance, debug complex system issues, and enhance overall application reliability and security.
• Apply microservices and API gateway best practices to build resilient, fault‑tolerant architectures.
• Implement secure coding practices and adhere to compliance standards.
• Work closely with data scientists and ML engineers to integrate machine learning models into enterprise applications.
• Utilize ML frameworks including TensorFlow, PyTorch, Scikit‑learn, XGBoost for model development and experimentation.
• Contribute to LLM integration, prompt engineering, model orchestration patterns, and high‑performance inference pipelines.
• Process and engineer data using Pandas, NumPy, Polars, supporting ML workflows and feature engineering.
• Work with model interpretability tools (SHAP, LIME) and A/B testing frameworks to evaluate model performance.
• Hands-on experience on agentic AI using frameworks like AutoGen, CrewAI
• Hands-on experience of development and deployment of MCP servers
• Partner with product owners and stakeholders to translate business requirements into technical designs and implementation plans.
• Participate actively in architectural discussions, contribute to long‑term technical roadmaps, and influence engineering best practices.
• Conduct code reviews, ensure high coding standards, and promote best‑practice development patterns.
• Mentor junior and mid‑level engineers, providing technical leadership and fostering strong engineering culture.

Requirements

• Bachelor’s Degree in Computer Science, Computer Engineering, IT, or equivalent (MSc/MCA preferred)
• 8+ years of professional software development experience, with a strong focus on backend and full‑stack development using Python.
• Expert‑level proficiency in Python, including advanced concepts such as decorators, context managers, metaclasses, async programming, and concurrency patterns.
• Hands‑on experience with major Python web frameworks such as FastAPI, Django, and Flask, building scalable and production‑grade APIs.
• Strong frontend development skills using JavaScript/TypeScript and at least one modern framework (React or Angular).
• Proven experience in designing microservices, distributed systems, and high‑performance backend architectures.
• Deep understanding of database design, query optimization, and ORM frameworks across SQL (PostgreSQL, MySQL) and graph (Neo4j, Apache AGE) and vector databases.
• Experience working with cloud platforms (Azure) and building cloud‑native as well as on-premise applications.
• Strong experience with Git version control and branching strategies.
• Experience with event‑driven architectures and message brokers such as Apache Kafka, RabbitMQ, or Redis Streams.
• Strong understanding of API design, authentication/authorization (OAuth2, JWT), and secure coding practices.
• Experience in LLM‑based development, including LangChain, LangGraph, agent workflows, RAG (Retrieval‑Augmented Generation), vector databases (pgvector, qdrant), and prompt engineering.
• Exposure to model monitoring, drift detection, and observability tooling.
• Strong skills in data processing using Pandas, NumPy.
• Solid understanding of testing frameworks, performance tuning, debugging, logging, monitoring, and observability tools (Prometheus, Grafana, ELK).
• Excellent analytical and problem‑solving abilities, with a proven track record of working effectively in fast‑paced, agile engineering environments.

Tech Stack

• Angular
• Apache
• Azure
• Cloud
• Distributed Systems
• Django
• Docker
• Flask
• Grafana
• GraphQL
• JavaScript
• Kafka
• Kubernetes
• Microservices
• MySQL
• Neo4j
• NGINX
• Numpy
• Pandas
• Postgres
• Prometheus
• Python
• PyTorch
• RabbitMQ
• React
• Redis
• SQL
• Tensorflow
• Terraform
• TypeScript

Benefits

• comprehensive medical and insurance coverage to meet the needs of our employees
• Remote Work Policy for eligible roles to promote Work-Life Balance through a hybrid work set up