About the Role
We are seeking an experienced Python and React TypeScript Full Stack Developer to join our engineering
team. The ideal candidate will bring a strong background in building scalable web applications, designing
and consuming RESTful APIs and webhooks, and working across multiple database technologies
including PostgreSQL, MongoDB, and Microsoft SQL Server. Hands-on experience with machine learning
models is essential, as you will be responsible for integrating intelligent features into our products.
Key Responsibilities
• Design, develop, and maintain full stack web applications using Python (Django/Flask/FastAPI)
on the backend and React on the frontend.
• Architect and implement RESTful APIs and webhook integrations to enable seamless
communication between internal and third-party systems.
• Build and manage database schemas, queries, and migrations across PostgreSQL, MongoDB, and
Microsoft SQL Server.
• Develop, fine-tune, and deploy machine learning models into production environments,
ensuring scalability and performance.
• Collaborate with data scientists and product teams to translate ML prototypes into robust,
production-ready features.
• Write clean, maintainable, and well-tested code with comprehensive unit and integration tests.
• Participate in code reviews, architectural discussions, and sprint planning to maintain high
engineering standards.
• Monitor application performance, troubleshoot production issues, and implement optimisations
to improve speed and reliability.
• Contribute to CI/CD pipelines, infrastructure-as-code, and DevOps best practices.
• Mentor junior developers and contribute to a culture of continuous learning and technical
excellence.
Required Skills & Qualifications
• Minimum 5 years of professional experience in full stack development.
• Strong proficiency in Python (Django, Flask, or FastAPI) and React with TypeScript, with a proven
track record of building and delivering production-grade full stack applications.
JOB DESCRIPTION
Confidential | Page 2
• Extensive experience designing, building, and consuming RESTful APIs and webhook-based
event-driven architectures.
• Solid working knowledge of PostgreSQL, MongoDB, and Microsoft SQL Server, including query
optimisation and data modelling.
• Hands-on experience developing, training, and deploying machine learning models using
frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Familiarity with ML pipelines, feature engineering, model evaluation, and deployment strategies
(., MLflow, Docker, Kubernetes).
• Experience with version control systems (Git) and collaborative development workflows.
• Strong understanding of software engineering principles including SOLID, DRY, and design
patterns.
• Excellent problem-solving skills with the ability to work independently and within cross-
functional teams.
Nice to Have
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Familiarity with message brokers (RabbitMQ, Kafka) and event-driven microservices
architectures.
• Exposure to NLP, computer vision, or recommendation systems.
• Experience with containerisation (Docker) and orchestration (Kubernetes).
• Knowledge of .NET MVC or WebForms is a plus.
• Experience with data visualisation libraries (, Plotly, or similar).
What We Offer
• Competitive salary and performance-based bonuses.
• Flexible working arrangements (hybrid/remote options).
• Professional development budget for conferences, courses, and certifications.
• Opportunity to work on cutting-edge projects involving AI and machine learning.
• Collaborative, supportive team culture with a focus on innovation.
• Generous holiday allowance, pension contributions, and health benefits.
If you interested, Share me your CV at.
Riya Mishra