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Lead Python Engineer (Microservices & AI) Job Opening In India, India – Now Hiring BayRock Labs


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


  • Job Details

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Unlock Your Lead Python Potential: Insight & Career Growth Guide


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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at BayRock Labs adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Lead Python Engineer (Microservices & AI) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead Python Engineer (Microservices & AI) Job Success

BayRock Labs interview tips for Lead Python Engineer (Microservices & AI)

Here are some tips to help you prepare for and ace your Lead Python Engineer (Microservices & AI) job interview:

Before the Interview:

Research: Learn about the BayRock Labs's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Lead Python Engineer (Microservices & AI) interview at BayRock Labs, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the BayRock Labs's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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