Python Developer

Salary (Lacs): Up to 22 LPA

Required Qualifications

•   4–7 years of total experience, with a minimum of 4 years in a full-time DevOps role

•   Hands-on experience with major cloud platforms (GCP, AWS, Azure, OCI), more than one will be a plus

•   Proficient in Kubernetes administration and container technologies (Docker, containerd)

•   Strong Linux fundamentals

•   Scripting skills in Python and shell scripting

•   Knowledge of infrastructure as code with hands-on experience in Terraform and/or Pulumi (mandatory)

•   Experience in maintaining and troubleshooting production environments

•   Solid understanding of CI/CD concepts with hands-on experience in tools like Jenkins, GitLab CI, GitHub Actions, ArgoCD, Devtron, GCP Cloud Build, or Bitbucket Pipelines

If Interested kindly share your updated resume on 82008 31681

Mumbai malad work from office

6 Days working

1 & 3 Saturday off

AWS Expertise: Minimum 2 years of experience working with AWS services like RDS, S3, EC2, and Lambda.

Roles and Responsibilities

1. Backend Development: Develop scalable and high-performance APIs and backend systems using Node.js. Write clean, modular, and reusable code following best practices. Debug, test, and optimize backend services for performance and scalability.

2. Database Management: Design and maintain relational databases using MySQL, PostgreSQL, or AWS RDS. Optimize database queries and ensure data integrity. Implement data backup and recovery plans.

3. AWS Cloud Services: Deploy, manage, and monitor applications using AWS infrastructure. Work with AWS services including RDS, S3, EC2, Lambda, API Gateway, and CloudWatch. Implement security best practices for AWS environments (IAM policies, encryption, etc.).

4. Integration and Microservices:Integrate third-party APIs and services. Develop and manage microservices architecture for modular application development.

5. Version Control and Collaboration: Use Git for code versioning and maintain repositories. Collaborate with front-end developers and project managers for end-to-end project delivery.

6. Troubleshooting and Debugging: Analyze and resolve technical issues and bugs. Provide maintenance and support for existing backend systems.

7. DevOps and CI/CD: Set up and maintain CI/CD pipelines. Automate deployment processes and ensure zero-downtime releases.

8. Agile Development:

Participate in Agile/Scrum ceremonies such as daily stand-ups, sprint planning, and retrospectives.

Deliver tasks within defined timelines while maintaining high quality.

Required Skills

Strong proficiency in Node.js and JavaScript/TypeScript.

Expertise in working with relational databases like MySQL/PostgreSQL and AWS RDS.

Proficient with AWS services including Lambda, S3, EC2, and API Gateway.

Experience with RESTful API design and GraphQL (optional).

Knowledge of containerization using Docker is a plus.

Strong problem-solving and debugging skills.

Familiarity with tools like Git, Jenkins, and Jira.

About Us:

We are a cutting-edge startup reshaping the construction management landscape with AI-driven solutions that simplify complex processes and maximize efficiency. Our platform leverages the latest web and mobile technologies to solve real-world challenges in the construction industry, blending innovation with usability. If you're passionate about building scalable systems and love solving problems, we want you on board!

Who You Are:

You are a tech enthusiast with a passion for clean, scalable backend systems built in Python. You have a knack for solving challenging problems and enjoy working in a fast-paced startup environment. You’re comfortable diving into code, debugging complex issues, and collaborating with cross-functional teams. While deep expertise in Python frameworks is a must, you’re also excited about emerging technologies like generative AI, machine learning, and deep learning.

What You’ll Do:

• Develop & Maintain: Build robust, secure, and scalable backend services using Python frameworks like Flask, FastAPI, or Django.
• API Design: Create and maintain RESTful APIs and microservices that power our platform.
• Database Management: Design and optimize database schemas; ideally with MongoDB, though experience with other databases is also valued.
• Integration: Collaborate with front-end and mobile teams to integrate seamless data flows and user experiences.
• Innovate: Explore and integrate new technologies, including LLMs, generative AI, machine learning, and deep learning, to enhance our product offerings.
• Cloud & DevOps: Work with cloud computing platforms (AWS or similar) to deploy, scale, and maintain backend systems.

Tech Stack:

• Backend: Python (Flask, FastAPI, or Django)
• Database: MongoDB (preferred) or other relational/NoSQL databases
• Cloud: AWS or other cloud platforms
• Additional Tools: Git, Docker, CI/CD pipelines

What You Bring:

• Experience: 2+ years of experience building scalable backend systems in Python.
• Framework Proficiency: Solid hands-on experience with Flask, FastAPI, or Django.
• Database Knowledge: Strong understanding of database design, indexing, and query optimization, preferably with MongoDB.
• API Expertise: Experience designing and consuming RESTful APIs.
• Version Control: Proficiency with Git and agile development practices.
• Problem Solver: A keen eye for detail and a passion for writing clean, maintainable code.

Bonus Points For:

• Exposure to and working experience with LLMs, generative AI, machine learning, deep learning, or fine-tuning models.
• Familiarity with containerization (Docker) and modern CI/CD practices.
• Experience working in a fast-paced startup environment.

Why Work With Us:

• Impact: Join a mission-driven startup solving real-world problems in a trillion-dollar industry.
• Innovation: Be part of a forward-thinking team that builds AI-powered, scalable tools from the ground up.
• Growth: Enjoy rapid career advancement as our company scales, with ample space for your ideas to thrive.
• Culture: Experience a collaborative, tech-driven, and fun work environment that values creativity, ownership, and continuous learning.

What You’ll Do

• Build & tune models: embeddings, transformers, retrieval pipelines, evaluation frameworks.
• Architect Python services (FastAPI/Flask) to embed ML/LLM workflows end-to-end.
• Translate AI research into production features for data extraction, document reasoning, and risk analytics.
• Own the full user flow: back-end → front-end (React/TS) → CI/CD on Azure & Docker.
• Leverage AI coding tools (Copilot, Cursor, Jules) to meet our 1 dev = 4 devs productivity bar.

Core Tech Stack:

• Primary:

Python · FastAPI/Flask · Pandas · SQL/NoSQL · Hugging Face · LangChain/RAG · REST/GraphQL · Azure · Docker

• Bonus:

React.js · Vector Databases · Kubernetes

You Bring:

• Proven track record shipping Python features and training/serving ML or LLM models.
• Comfort reading research papers/blogs, prototyping ideas, and measuring model performance.
• 360° product mindset: tests, reviews, secure code, quick iterations.
• Strong ownership and output focus — impact beats years of experience.

Why Join Intain?

• Small, expert team where your code and models hit production fast.
• Work on real-world AI problems powering billions in structured-finance transactions.
• Compensation & ESOPs tied directly to the value you ship.

📍 About Us

Intain is transforming structured finance using AI — from data ingestion to risk analytics. Our platform, powered by IntainAI and Ida, helps institutions manage and scale transactions seamlessly.

1.   Should have worked in Agile methodology and microservices architecture

2.   Should have 7+ years of experience in Python and Django framework

3.   Should have a good knowledge of DRF

4.   Should have knowledge of User Auth (JWT, OAuth2), API Auth, Access Control List, etc.

5.   Should have working experience in session management in Django

6.   Should have expertise in the Django MVC and uses of templates in frontend

7.   Should have working experience in PostgreSQL

8.   Should have working experience in the RabbitMQ messaging channel and Celery Analytics

9.   Good to have javascript implementation knowledge in Django templates

• 3+ year of experience in Development in JAVA technology.
• Strong Java Basics
• SpringBoot or Spring MVC
• Hands on experience on Relationl Databases (SQL query or Hibernate) + Mongo (JSON parsing)
• Proficient in REST API development
• Messaging Queue (RabitMQ or Kafka)
• Microservices
• Any Caching Mechanism
• Good at problem solving

Good to Have Skills:

• 4+ years of experience in using Java/J2EE tech stacks
• Good understanding of data structures and algorithms.
• Excellent analytical and problem solving skills.
• Ability to work in a fast paced internet start-up environment.
• Experience in technical mentorship/coaching is highly desirable.
• Understanding of AI/ML algorithms is a plus.

• Excellent knowledge in one or more of Python/NodeJS REST Frameworks 
• Hands on experience in system architecture and data modelling. Experience with databases like MySQL, Postgres, MongoDB.
• Devops capabilities - with good understanding of deployments and cloud infrastructure. In depth knowledge of container architecture using Docker is must. 
• Scaled systems using RabbitMQ/ Redis /Celery/ Kafka