Software Devleopment Engineer

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.