Python Developer at BayRock Labs

, , India -

Full Time

Start Date

Immediate

Expiry Date

10 Jan, 26

Salary

0.0

Posted On

12 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Microservices, FastAPI, OpenAPI Specification, AI/ML Integration, Snowflake, Database ORM, SQLAlchemy, Workflow Systems, Cloud Environments, AWS, GCP, Azure, Code Quality, Testing, Mentorship

Industry

Software Development

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 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. 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. 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).

Responsibilities

The Lead Python Engineer will architect, design, and implement core microservices and workflow systems for AI-driven applications. This role emphasizes system reliability, code quality, and best practices in a microservices environment.