The Role
Build and optimize scalable backend services, APIs, microservices, frontend applications, databases, search systems, event-driven workflows, and AI-powered data pipelines. The role involves Python, Node.js, React, MongoDB, Elasticsearch, cloud infrastructure, messaging systems, scraping, OCR, testing, debugging, observability, and performance optimization.
Summary Generated by Built In
Software Devleopment Engineer
Experience - 3 to 5 Years
Role - FullTime
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 I (SDE-1) 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, Memcached (AWS ElastiCache), ElasticSearch, Vector Search Systems,
Docker, Kubernetes, Microsoft Azure, AWS, Scrapy, BeautifulSoup4, OCR Pipelines.
• AI, Messaging & Distributed Systems: Azure OpenAI (GPT Models), LangGraph, Google ADK
(Agent Development Kit), Azure Service Bus, AWS SQS/SNS, KEDA, Distributed Microservices,
Event-Driven Architectures, AI Agent Workflows, Search & Retrieval Infrastructure.
• Frontend: React 18 (TypeScript), Redux, Redux-Thunk, React Router v5, Sass (SCSS), Styled
Components, venwiz-ui
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.
Bonus Experience
• Experience with ElasticSearch relevance tuning, vector search, or retrieval systems.
• Exposure to LLMs, AI agents, or retrieval-augmented workflows.
• Familiarity with Kubernetes, Docker, or cloud-native systems.
• Experience building scraping, OCR, or large-scale ingestion pipelines.
• Experience with React performance optimization or large-scale frontend systems.
• Contributions to side projects, open-source work, or production systems.
Skills Required
- 3 to 5 years of software development experience
- Strong backend engineering fundamentals
- Frontend development experience
- Strong data structures knowledge
- Understanding of APIs, databases, scalable system design, and modern frontend architectures
- Ability to debug complex issues across services, frontend applications, and distributed workflows
- Attention to code quality, maintainability, and user experience
- ElasticSearch relevance tuning, vector search, or retrieval systems
- LLMs, AI agents, or retrieval-augmented workflows
- Kubernetes, Docker, or cloud-native systems
- Scraping, OCR, or large-scale ingestion pipelines
- React performance optimization or large-scale frontend systems
- Side projects, open-source work, or production systems
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The Company
What We Do
We are an early startup, building SaaS enabled marketplace for CapEx and Industrial services procurement. Get to know about us in detail!
