Design and develop scalable Python applications, integrate AI/ML features, optimize databases, and collaborate with teams while mentoring junior developers.
We are looking for a highly experienced Senior Python Developer with 7+ years of hands‑on experience in building complex, scalable, and high‑performance applications using Python. The ideal candidate will have strong experience in AI/ML‑driven solutions, backend system design, and working with both SQL and NoSQL databases such as PostgreSQL and MongoDB.
This role requires deep technical expertise, strong problem‑solving skills, and the ability to design and implement enterprise‑grade, production‑ready solutions.
Key Responsibilities
Core Development
· Design, develop, and maintain complex, large‑scale Python applications.
· Write clean, efficient, reusable, and testable Python code following best practices.
· Build and optimize backend services, APIs, and microservices.
· Participate in system architecture design and technical decision‑making.
AI / Advanced Solutions
· Develop and integrate AI/ML‑based features into applications (e.g., LLMs, NLP, data extraction, analytics).
· Work with AI frameworks, models, and inference pipelines as part of production systems.
· Optimize AI workflows for performance, accuracy, and scalability.
Database & Data Handling
· Design, implement, and optimize data models using:
· PostgreSQL (or other relational databases)
· MongoDB (and/or other NoSQL databases)
· Handle large datasets efficiently with optimized queries and indexing strategies.
· Ensure data integrity, performance tuning, and scalability.
System Design & Performance
· Architect scalable, fault‑tolerant, and secure systems.
· Optimize system performance, memory usage, and latency.
· Implement robust error handling, logging, and monitoring.
Collaboration & Leadership
· Collaborate with architects, product managers, data scientists, and DevOps teams.
· Review code and mentor junior developers.
· Contribute to technical documentation, design reviews, and best‑practice standards.
Testing & Quality
· Write and maintain unit tests, integration tests, and automated test suites.
· Ensure high code quality and adherence to SDLC best practices.
· Participate in CI/CD pipelines and deployment readiness.
Required Technical Skills
Core Skills (Must‑Have)
· 7+ years of strong hands‑on Python development experience
· Expertise in Python frameworks such as:
· FastAPI, Flask, Django (or similar)
· Strong understanding of:
· Object‑Oriented Programming (OOP)
· Design patterns
· Data structures & algorithms
Database Skills
· Strong experience with PostgreSQL (schema design, joins, indexing, performance tuning)
· Strong experience with MongoDB (document modeling, aggregation pipelines)
· Experience working with both SQL and NoSQL databases in production
AI / Advanced Capabilities
· Experience building or integrating AI / ML features into applications
· Exposure to:
· Machine Learning / NLP
· LLM‑based systems (preferred)
· Ability to work with data‑heavy and intelligence‑driven applications
· Need to be well versed using AI tools like Github Copilot , etc.
Backend & APIs
· RESTful API design and development
· Microservices architecture
· Authentication, authorization, and security best practices
This role requires deep technical expertise, strong problem‑solving skills, and the ability to design and implement enterprise‑grade, production‑ready solutions.
Key Responsibilities
Core Development
· Design, develop, and maintain complex, large‑scale Python applications.
· Write clean, efficient, reusable, and testable Python code following best practices.
· Build and optimize backend services, APIs, and microservices.
· Participate in system architecture design and technical decision‑making.
AI / Advanced Solutions
· Develop and integrate AI/ML‑based features into applications (e.g., LLMs, NLP, data extraction, analytics).
· Work with AI frameworks, models, and inference pipelines as part of production systems.
· Optimize AI workflows for performance, accuracy, and scalability.
Database & Data Handling
· Design, implement, and optimize data models using:
· PostgreSQL (or other relational databases)
· MongoDB (and/or other NoSQL databases)
· Handle large datasets efficiently with optimized queries and indexing strategies.
· Ensure data integrity, performance tuning, and scalability.
System Design & Performance
· Architect scalable, fault‑tolerant, and secure systems.
· Optimize system performance, memory usage, and latency.
· Implement robust error handling, logging, and monitoring.
Collaboration & Leadership
· Collaborate with architects, product managers, data scientists, and DevOps teams.
· Review code and mentor junior developers.
· Contribute to technical documentation, design reviews, and best‑practice standards.
Testing & Quality
· Write and maintain unit tests, integration tests, and automated test suites.
· Ensure high code quality and adherence to SDLC best practices.
· Participate in CI/CD pipelines and deployment readiness.
Required Technical Skills
Core Skills (Must‑Have)
· 7+ years of strong hands‑on Python development experience
· Expertise in Python frameworks such as:
· FastAPI, Flask, Django (or similar)
· Strong understanding of:
· Object‑Oriented Programming (OOP)
· Design patterns
· Data structures & algorithms
Database Skills
· Strong experience with PostgreSQL (schema design, joins, indexing, performance tuning)
· Strong experience with MongoDB (document modeling, aggregation pipelines)
· Experience working with both SQL and NoSQL databases in production
AI / Advanced Capabilities
· Experience building or integrating AI / ML features into applications
· Exposure to:
· Machine Learning / NLP
· LLM‑based systems (preferred)
· Ability to work with data‑heavy and intelligence‑driven applications
· Need to be well versed using AI tools like Github Copilot , etc.
Backend & APIs
· RESTful API design and development
· Microservices architecture
· Authentication, authorization, and security best practices
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