CTO Cofounder

🚀 Hiring: Python Full Stack Developer

⭐ Experience: 4+ Years

📍 Location: Gurgaon

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

🎇 About the Role:-

We are looking for an experienced Python Full Stack Developer (Backend Focus) with 4–6 years of experience to join our dynamic team. You will play a key role in backend development, API design, and data processing, while also contributing to frontend tasks when needed. This position provides excellent opportunities for growth and exposure to cutting-edge technologies.

✨ Required Skills & Experience

✅ Backend Development: Python (Django/Flask), MVC patterns

✅ Databases: SQL, PostgreSQL/MySQL

✅ API Development: RESTful APIs

✅ Testing: pytest, unittest, TDD

✅ Version Control: Git workflows

✅ Frontend Basics: React, JavaScript

✅ DevOps & Tools: Docker basics, CI/CD concepts, JSON/XML/CSV handling

✅ Cloud: Basic Azure knowledge

We are seeking a Frontend Engineer who can expand our product portfolio and make life easier for locals and local businesses. As part of this role, you will build experiences that help users engage and feel comfortable with the products and services we offer.

We need you to understand Angular, Vanilla JS, HTML and (S)CSS.
We need you to understand the philosophy of writing clean and modular code.
We need you to take your own stand and do what's right to find a solution.
"I'd rather listen to a possible solution rather than a 'don\'t know'" would be plausible to you.

Technologies mentioned above is what you can relate to while applying but that's just the tip of the iceberg.

If you get a score of 10 below,
We need you

You need at least 5 points to proceed to next round.

Answer the following questions by attaching a document link with the note:

1. Why choose ngRx over shared angular services? 1 point

2. How are fork join and merge map different? 1 point

3. How do we wrap html elements in our custom component? 2 points
   Ex:

This is not a paragraph element

1. How will you handle an error produced by RxJS operator's inner observables without failing any other observables that are yet to emit values to its subscriber, so that all the inner observables including errored ones can be piped to another RxJS operator such as fork join, concatMap etc to be handled smoothly for further operations?

Easiest thing would be to generate a pseudo code.

With above question solve this problem:

[Observables....] -> Emit values simultaneously from the array of observables at once (perform a task when an observable finishes) -> toArray -> [emitted values...] -> process each emitted value one by one -> toArray

This will give you 4 points

1. How does javascript achieve its asynchronous nature being single threaded? 2 points

ABOUT THE ROLE

We are looking for young dynamic individuals in the role of Operation and product support, who will be part of our Support Team in Hyderabad. The job will need a fair amount of technical knowledge about Web SaaS portals.

Job Responsibilities:

• Attend inquiries and resolve product or service problems by clarifying the customer's complaint via, email, online chat, helpDesk etc.
• Provide appropriate solutions and alternatives within the time limits and follow up to ensure resolution. Suggest or inform customers about the best practices. Identify and assess customers’ needs to achieve satisfaction by going the extra mile to engage customers.
• A certain degree of creativity, latitude, and problem- solving is required
• Coordinate with cross-functional teams to achieve the
• highest level of customer satisfaction.
• Streamline and expedite operational tasks, including inbound and outbound marketing.
• Follow communication procedures, guidelines, and policies.

REQUIREMENTS

• Experience of 1 year in customer service role handling customer support/technical queries.
• Excellent oral and written communication and people interaction skills.
• Hands-on experience with ticketing software like Freshdesk/Freshchat.
• Good analytical skills with active listening and attention to detail.
• Ability to multi-task, prioritize and manage time effectively.
• Work independently and own the raised matter till closure.
• Work experience in SAAS companies is an added advantage 

Big Data Engineer: 5+ yrs.
Immediate Joiner

• Expertise in building AWS Data Engineering pipelines with AWS Glue -> Athena -> Quick sight
• Experience in developing lambda functions with AWS Lambda
• Expertise with Spark/PySpark – Candidate should be hands on with PySpark code and should be able to do transformations with Spark
• Should be able to code in Python and Scala.
• Snowflake experience will be a plus
• We can start keeping Hadoop and Hive requirements as good to have or understanding of is enough rather than keeping it as a desirable requirement.

• Automate and maintain ML and Data pipelines at scale
• Collaborate with Data Scientists and Data Engineers on feature development teams to containerize and build out deployment pipelines for new modules
• Maintain and expand our on-prem deployments with spark clusters
• Design, build and optimize applications containerization and orchestration with Docker and Kubernetes and AWS or Azure

• 5 years of IT experience in data-driven or AI technology products
• Understanding of ML Model Deployment and Lifecycle
• Extensive experience in Apache airflow for MLOps workflow automation
• Experience is building and automating data pipelines
• Experience in working on Spark Cluster architecture
• Extensive experience with Unix/Linux environments
• Experience with standard concepts and technologies used in CI/CD build, deployment pipelines using Jenkins
• Strong experience in Python and PySpark and building required automation (using standard technologies such as Docker, Jenkins, and Ansible).
• Experience with Kubernetes or Docker Swarm
• Working technical knowledge of current systems software, protocols, and standards, including firewalls, Active Directory, etc.
• Basic knowledge of Multi-tier architectures: load balancers, caching, web servers, application servers, and databases.
• Experience with various virtualization technologies and multi-tenant, private and hybrid cloud environments.
• Hands-on software and hardware troubleshooting experience.
• Experience documenting and maintaining configuration and process information.
• Basic Knowledge of machine learning frameworks: Tensorflow, Caffe/Caffe2, Pytorch