Job description
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).
Required Skill Profession
Computer Occupations