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).