Python Developer

We are seeking a highly experienced and technically adept Lead Python Engineer to architect, design, and implement the core microservices and workflow systems that power our next-generation, AI-driven applications. The ideal candidate has over eight years of hands-on experience building high-scale, production-grade backends using Python and modern asynchronous frameworks. This role requires a strong focus on system reliability, code quality, rigorous testing, and best practices in a microservices environment, particularly with deep experience in data integration using Snowflake.

Key Responsibilities

1. Architectural Design & Implementation

• Microservices:

  Lead the design and implementation of robust, scalable, and secure microservices using

  Python

  and

  FastAPI

  (or similar asynchronous frameworks).

• API Specification/AI Native Development:

  Define, document, and maintain all service endpoints using the

  OpenAPI Specification (OAS)

  standard to ensure consistency, clarity, and ease of consumption by frontend and internal teams.

• Workflow Systems:

  Design and implement resilient, step-based state machines or declarative

  Workflow Systems

  to manage complex, multi-step business logic and data processing pipelines.

2. AI Enablement & Data Integration

• AI-Driven Development:

  Integrate machine learning models (AI/ML) into production microservices.

• Data Integration:

  Architect and develop robust data synchronization with experience in

  Snowflake integrations

  (e.g., using Snowflake Python Connector or ORM extensions) to handle large-scale analytical and transactional data flows.

• Data Persistence:

  Implement and optimize data models and persistence layers using modern

  Database ORMs

  (e.g., SQLAlchemy, SQLModel) for relational and NoSQL databases.

3. Engineering Quality & Best Practices

• Code Quality:

  Define and enforce organization-wide

  Code Base Best Practices

  and rigorous

  Code Quality

  standards, including performance, security, and maintainability.

• Testing:

  Establish comprehensive

  Unit Test Cases

  , integration tests, and end-to-end testing strategies to ensure high coverage and reliability across all services.

• Mentorship:

  Provide technical leadership, mentorship, and code reviews to mid and senior-level engineers, fostering a culture of technical excellence.

Required Qualifications

• Experience:

  8+ years of professional software development experience, primarily focused on backend systems using Python.

• Core Backend:

  Expert proficiency in Python and developing high-performance RESTful APIs, with specific, demonstrable experience using

  FastAPI

  .

• API Standards:

  Deep understanding and practical experience defining APIs using the

  OpenAPI Specification (OAS)

  , including tooling for validation and documentation.

• Architecture:

  Proven history of designing, deploying, and maintaining systems built on

  Microservice Architectures

  .

• Data Layer:

  Expertise with relational databases and using advanced

  Database ORM

  features for complex query optimization and schema migrations.

• Workflow Systems:

  Experience defining, implementing, and managing complex business logic using step-based, state-driven, or declarative workflow systems (e.g., orchestration tools, custom state machines).

• Cloud & Data:

  Strong experience working with cloud environments (AWS, GCP, or Azure) and significant experience integrating systems with

  Snowflake

  .

Preferred Qualifications (Nice-to-Haves)

• Experience in integrating

  AI-Driven Development

  principles into software lifecycles.
• Experience with AI Editors (Cursor, Windsurf etc) for coding
• Understanding on RAG and AI applications
• Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
• Knowledge of asynchronous programming patterns and performance tuning in Python (asyncio).