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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.

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.

Level of skills and experience:

5 years of hands-on experience in using Python, Spark,Sql.

Experienced in AWS Cloud usage and management.

Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow).

Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch.

Experience with orchestrators such as Airflow and Kubeflow.

Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).

Fundamental understanding of Parquet, Delta Lake and other data file formats.

Proficiency on an IaC tool such as Terraform, CDK or CloudFormation.

Strong written and verbal English communication skill and proficient in communication with non-technical stakeholderst

Requirements:

• Should be a go-getter, ready to shoulder more responsibilities, and shows enthusiasm and interest in work.

• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, and Web service.

• Should have work experience on the following stacks/libraries: Flask

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python

• Basic understanding of front-end technologies, such as Angular, JavaScript, HTML5 and CSS3

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Understanding of accessibility and security compliance

• Experience in both RDBMS(MySQL), NoSQL databases (MongoDB, HDFS, HIVE etc) or in-memory caching technologies such as ehcache etc is preferable.

• Implement best practices for the engineering team across code hygiene, overall architecture design, testing, and deployment activities
• Drive technical decisions for building data pipelines, data lakes, and analyst access.
• Act as a leader within the engineering team, providing support and mentorship for teammates across functions
• Bachelor’s Degree in Computer Science or equivalent job experience
• Experienced developer in large data environments
• Experience using Git productively in a team environment
• Experience with Docker
• Experience with Amazon Web Services
• Ability to sit with business or technical SMEs to listen, learn and propose technical solutions to business problems

·       Experience using and adapting to new technologies

·       Take and understand business requirements and goals

·       Work collaboratively with project managers and stakeholders to make sure that all aspects of the project are delivered as planned

·       Strong SQL skills with MySQL or PostgreSQL

• Experience with non-relational databases and their role in web architectures desired

 Knowledge and Experience:

• Good experience with Elixir and functional programming a plus

• Several years of python experience
• Excellent analytical and problem-solving skills
• Excellent organizational skills

Proven verbal and written cross-department and customer communication skills