Software Development Engineer – Full Stack
- ₹10L – ₹15L • No equity
- |Remote () •
- |1 year of exp
- |Full Time
Posted: 2 months ago• Recruiter recently active
Job Location
Remote Work Policy
Onsite or remote
Hires remotely in
Visa Sponsorship
Not Available
RelocationAllowed
Skills
Python
MongoDB
Rabbitmq
Flask
AWS/EC2/ELB/S3/DynamoDB
AWS Cloud Services
Docker
Microsoft Azure
React.js
AWS
Redux
Nest.Js
Kubernates
Tyoescript
Hiring contact
Swati Kharpor
Employee

About the job
About Venwiz
At Venwiz, we are building a next-generation enterprise B2B platform that digitizes industrial procurement and vendor management at scale. Our platform powers complex vendor discovery, search, procurement workflows, and AI-assisted data intelligence for large industrial enterprises.
We are looking for a highly motivated Software Development Engineer (SDE) who enjoys solving backend engineering problems, building scalable APIs, optimizing databases and search systems, and working with modern AI infrastructure in production environments.
Technology Stack
- Backend & Infrastructure: Python, TypeScript, JavaScript, Node.js, NestJS, Express.js, Flask, FastAPI, MongoDB, Elasticsearch, Docker, Kubernetes, AWS, Azure
- AI & Distributed Systems: Azure OpenAI, GPT Models, LangGraph, Google ADK, Azure Service Bus, AWS SQS, AWS SNS
- Frontend: React 18, TypeScript, Redux, React Router, SCSS, Styled Components
Responsibilities
- Build, maintain, and optimize scalable backend services, APIs, distributed microservices, and frontend applications using Python, Node.js, and React.
- Develop and optimize MongoDB aggregations, ElasticSearch queries, indexing pipelines, and large-scale retrieval workflows.
- Build responsive and scalable frontend interfaces using React, Redux, and modern UI frameworks.
- Work on asynchronous event-driven architectures using Azure Service Bus, AWS SQS/SNS, background workers, and KEDA-based scaling.
- Integrate AI-powered workflows using Azure OpenAI, LangGraph, vector search, and structured extraction pipelines.
- Maintain and improve scraping, OCR, and document ingestion systems for processing structured and unstructured enterprise data.
- Write clean, production-grade code with strong focus on testing, debugging, observability, performance, and maintainability.
What We Look For
- Strong fundamentals in backend engineering, frontend development, and data structures.
- Good understanding of APIs, databases, scalable system design, and modern frontend architectures.
- Ability to debug complex issues across services, frontend applications, and distributed workflows.
- Curiosity to learn modern AI infrastructure, distributed systems, and scalable web architectures.
- Ownership mindset with attention to code quality, maintainability, and user experience.
- Ability to work in fast-moving product environments.
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