About BayRock Labs
At BayRock Labs, we pioneer innovative tech solutions that drive business transformation. As a leading product engineering firm based in Silicon Valley, we provide full-cycle product development, leveraging cutting-edge technologies in AI, ML, and data analytics. Our collaborative, inclusive culture fosters professional growth and work-life balance. Join us to work on ground-breaking projects and be part of a team that values excellence, integrity, and innovation. Together, let's redefine what's possible in technology.
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).
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What We Do
Welcome to BayRock Labs, a global leader in engineering excellence and innovation. With HQ in the USA and inspired by Silicon Valley, we create scalable products driving business success. Our mission is simple: harness technology's power with unmatched agility and expertise. With 2000+ consultants worldwide, we deliver cutting-edge solutions to 70+ clients. Our track record: 500+ products, earning us trust as an innovation partner. From groundbreaking mobile apps to cloud optimization, excellence is our hallmark. Agility is our foundation, adapting swiftly to industry demands. At BayRock Labs, creativity and flexibility fuel innovation.
At BayRock Labs, we understand that great products are born from collaboration and expertise. That's why we've established four specialized labs to focus on different aspects of software product engineering:
1. Experience Labs: Where UX and Product Management converge to create intuitive and customer-centric solutions.
2. Engineering Labs: Focused on full-stack frameworks and development to ensure the highest quality and efficiency in engineering.
3. Data Labs: Harnessing the power of AI/ML and modeling to unlock insights and drive informed decision-making.
4. Cloud Labs: Dedicated to DevSecOps and security, ensuring the scalability and reliability of cloud-based solutions.
Our comprehensive suite of services covers a wide range of areas, including:
* Product Development
* Web/Mobile App Development
* IT Ops (Apps/Cloud)
* IT Consulting
* Bolt-ons for Enterprise Apps (CRM, ERP) Management
At BayRock Labs, we promote diversity and inclusion in the tech industry. We believe diversity drives innovation, so we actively promote and support women in technology roles.
Join us at BayRock Labs and be part of a team that is shaping the future of technology. Together, let's build products that transform businesses and change lives.
