Python Developer

Full Stack Python Developer | Software Developer GenAI Productization

Experience

Role Summary

Python Developer

Key Responsibilities

• Convert GenAI POCs into

  robust, production-ready services

• Develop

  scalable, asynchronous microservices optimized for high throughput and low latency

• Handle

  concurrency, rate limiting, throttling, and queueing strategies

  for high-load systems
• Collaborate with AI/ML teams on agent orchestration and model-serving pipelines
• Implement

  telemetry

  (logs, metrics, tracing) to ensure debuggability and performance insights
• Manage the full

  API lifecycle, including security

  (OAuth, API keys), testing, and documentation
• Publish and maintain client SDKs, Postman collections, and internal developer portals
• Define and enforce engineering standards: CI/CD automation, testing strategies, environment promotion, and release workflows
• Integrate with message brokers like Kafka,

  Google Pub/Sub

  for event-driven architecturesPrepare

  HLD/LLD, UML/sequence diagrams

  , and apply design patterns for resilient system design
• Design and implement reliable, versioned APIs with backward compatibility

Required Skills

• Expert-level proficiency in

  Python

  , especially using

  FastAPI

  , and strong understanding of

  asynchronous programming

  and multiprocessing
• Deep understanding of

  microservices, event-driven, and async system design

• Proficient in

  WebSockets,

  gRPC

  , REST, and OpenAPI/Swagger-based API contract

  design
• Proficient in

  OOP, dependency injection, and Pydantic-based validation in FastAPI

  for building modular, maintainable APIs.
• Proficient in working with databases using

  ORMs like SQLAlchemy

  , along with strong command over relational database design, queries

  ,

  and performance optimization.
• Hands-on experience with cloud-native development on

  GCP

  , AWS, or Azure, including

  API gateways

  , autoscaling, and serverless architecture
• Strong grasp of

  Docker

  , Git-based version control, and container orchestration workflows
• Deep understanding of

  network, authentication, and infosec aspects in API

  and app deployments
• Familiarity with

  CI/CD pipelines

  , infrastructure-as-code, and secure deployment practices
• Experienced in

  DevOps practices

  , including configuring

  reverse proxy with NGINX

  to enable secure and efficient communication between

  frontend and backend services deployed on GKE.

Preferred

• Experience with Kafka,

  Google Pub/Sub

  , or equivalent message brokers
• Working knowledge of

  React.js, HTML, CSS

  for integration and debugging (not core responsibility)Prior experience with GenAI-based systems, especially real-time chatbots or voicebots
• Exposure to model orchestration frameworks, LLM serving, or Vertex AI
• Knowledge of zero-downtime deployment and rollback strategies
• Exposure to LLM orchestration (LangChain, LangGraph)
• Experience with RAG architectures, vector DBs, and MLOps frameworks (GCP Vertex Pipelines).
• Understanding of Model Context Protocol (MCP) and Agent-to-Agent toolkits for advanced agent workflows.
• Strong UX awareness to influence AI-driven product design and user journeys.