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- Writing reusable, testable, and efficient code
- Design and implementation of low-latency, high-availability, and performant applications
- Analysis, Automate and backtest the existing strategies
- Employing statistical applications to visualize and/or transform the distribution or dispersion profile of individual signals and support the mathematical formulation of multiple signal algorithms to rank securities for investment.
- Candidates should have strong coding skills in Python (NumPy, Pandas, matplotlib, Zipline) /Django/Java script etc.
- Basic understanding of front-end technologies, such as HTML5, and CSS3
- Must have Database knowledge like Open source, PostgreSQL, MySQL/SQ
Learnability, teamwork and flexibility are important traits we look for.
Responsibilities:
- Working with the development team to deliver large-scale web applications.
- Working alongside project managers and clients.
- Work with the development team to troubleshoot the development environment, production environment, performance tune, and optimize code.
- Adhere to the code conventions strictly.
Requirements:
- Working knowledge of Python, Linux, and Debugging skills.
- Skills: RDBMS (MySQL, PostGreSQL), Shell Scripting, Web Server and Interpretors (nGinx, Apache, uwsgi, mod_python), GIT.
- Knowledge of Javascript/ JQuery, HTML/ CSS, JSON, AJAX, Google APIS (Maps, Charts).
Preferred:
- 3+ Years of experience overall.
- 3+ years of experience in Python scripting and Linux.
Must have exp in Django. [ Mandatory]
- The ability to problem-solve and critically think.
- High level of knowledge of Python and the Django framework.
- Familiarity with event driven programming as well as the MVC.
- Good understanding of SQL databases.
- Good understanding of REST APIs.
Job Description: Python-Azure AI Developer
Experience: 5+ years
Locations: Bangalore | Pune | Chennai | Jaipur | Hyderabad | Gurgaon | Bhopal
Mandatory Skills:
- Python: Expert-level proficiency with FastAPI/Flask
- Azure Services: Hands-on experience integrating Azure cloud services
- Databases: PostgreSQL, Redis
- AI Expertise: Exposure to Agentic AI technologies, frameworks, or SDKs with strong conceptual understanding
Good to Have:
- Workflow automation tools (n8n or similar)
- Experience with LangChain, AutoGen, or other AI agent frameworks
- Azure OpenAI Service knowledge
Key Responsibilities:
- Develop AI-powered applications using Python and Azure
- Build RESTful APIs with FastAPI/Flask
- Integrate Azure services for AI/ML workloads
- Implement agentic AI solutions
- Database optimization and management
- Workflow automation implementation
- Write clean, well- designed code
- Produce detailed specifications
- Troubleshoot, test and maintain the core product software and databases to ensure strong optimization and functionality
- Contribute in all phases of the development lifecycle
- Follow industry best practices
- Develop and deploy new features to facilitate related procedures and tools if necessary.
Requirements :
- Knows best practices for front- end development
- Strong knowledge of Javascript APIs.
- Must have experience in building web applications in Python/Django
- Able to handle multiple databases in Django.
- Knows how to do multiple environments (production/ staging)setup in Django.
- Knows how to set up/deploy Django apps in AWS.
- Knowledge of MongoDB, postgresql mysql
- Familiar with Docker/Docker- compose
About Role
We are looking for a hands-on Python Engineer with strong experience in backend development, AI-driven systems, and cloud infrastructure. The ideal candidate should be comfortable working across Python services, AI/ML pipelines, and cloud-native environments, and capable of building production-grade, scalable systems.
This role offers high ownership, exposure to real-world AI systems, and long-term growth, making it ideal for engineers who want to build meaningful products rather than just features
Key Responsibilities
- Design, develop, and maintain scalable backend services using Python
- Build APIs and services using FastAPI, Flask, or Django
- Ensure performance, reliability, and scalability of backend systems
- Integrate AI/ML models into production systems (model inference, automation)
- Build and maintain AI pipelines for data processing and inference
- Deploy and manage applications on AWS, with exposure to GCP and Azure
- Implement CI/CD pipelines, containerization, and cloud deployments
- Collaborate with product, frontend, and AI teams on end-to-end delivery
- Optimize cloud infrastructure for cost, performance, and reliability
- Collaborate with product, frontend, and AI teams on end-to-end delivery
- Follow best practices for security, monitoring, and logging
Required Qualifications
- 2–4 years of professional experience in Python development
- Strong understanding of backend frameworks: FastAPI, Flask, Django
- Hands-on experience integrating AI/ML systems into applications
- Solid experience with AWS (EC2, S3, Lambda, RDS, IAM)
- Exposure to Google Cloud Platform (GCP) and Microsoft Azure
- Experience with Docker and CI/CD workflows
- Understanding of scalable system design principles
- Strong problem-solving and debugging skills
- Ability to work collaboratively in a product-driven environment
Perks and Benefits
- Work in Nikhil Kamath funded startup
- ₹3 – ₹4.6 LPA with ESOPs linked to performance and tenure
- Opportunity to build long-term wealth through ESOP participation
- Work on production-scale AI systems used in real-world applications
- Hands-on experience with AWS, GCP, and Azure architectures
- Work with a team that values clean engineering, experimentation, and execution
- Exposure to modern backend frameworks, AI pipelines, and DevOps practices
- High autonomy, fast decision-making, and real ownership of features and systems
We are seeking a highly skilled and motivated Python Developer with hands-on experience in AWS cloud services (Lambda, API Gateway, EC2), microservices architecture, PostgreSQL, and Docker. The ideal candidate will be responsible for designing, developing, deploying, and maintaining scalable backend services and APIs, with a strong emphasis on cloud-native solutions and containerized environments.
Key Responsibilities:
- Develop and maintain scalable backend services using Python (Flask, FastAPI, or Django).
- Design and deploy serverless applications using AWS Lambda and API Gateway.
- Build and manage RESTful APIs and microservices.
- Implement CI/CD pipelines for efficient and secure deployments.
- Work with Docker to containerize applications and manage container lifecycles.
- Develop and manage infrastructure on AWS (including EC2, IAM, S3, and other related services).
- Design efficient database schemas and write optimized SQL queries for PostgreSQL.
- Collaborate with DevOps, front-end developers, and product managers for end-to-end delivery.
- Write unit, integration, and performance tests to ensure code reliability and robustness.
- Monitor, troubleshoot, and optimize application performance in production environments.
Required Skills:
- Strong proficiency in Python and Python-based web frameworks.
- Experience with AWS services: Lambda, API Gateway, EC2, S3, CloudWatch.
- Sound knowledge of microservices architecture and asynchronous programming.
- Proficiency with PostgreSQL, including schema design and query optimization.
- Hands-on experience with Docker and containerized deployments.
- Understanding of CI/CD practices and tools like GitHub Actions, Jenkins, or CodePipeline.
- Familiarity with API documentation tools (Swagger/OpenAPI).
- Version control with Git.
2. Completly handle website which is created by Django framework.
3. Handle payment gateway integration.
● Designing, code reviews, POCs on latest cutting-edge technologies building,
deploying highly scalable and robust cloud based intelligent solutions.
● Architect & Design, code high performance and scalable solutions that meet the needs of millions of customers.
● Implement cutting-edge models and algorithms that operate on massive amounts of data.
● Working on the REST framework
● Working on session-based and token-based authentication, Working on Celery
● Handling the payment gateway
● Work with Multi-threading, Data Structures, Algorithm, Design Patterns and develop robust high-performance and scalable applications.
● Writing scalable code using Python programming language.
● Developing back-end components.
- Work with stakeholders and fellow developers.
- Design and implement Python code using the Django framework.
- Identify and fix bottlenecks that may arise from inefficient code.
- Identify and fix software bugs.
- Create a wide variety of unit tests to verify the functionality of software.
- Manage the security of the platform.
- Write detailed documentation around the code.
- Knowledge of front end languages.



