Software Devleopment Engineer
Bengaluru · Full time · Posted 24D AGO
Software Devleopment Engineer
Experience - 3 to 5 YearsRole - FullTime
About VenwizAt Venwiz, we are building a next-generation enterprise B2B platform that digitizes industrialprocurement 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 solvingbackend engineering problems, building scalable APIs, optimizing databases and search systems, andworking 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), StyledComponents, venwiz-ui
Responsibilities• Build, maintain, and optimize scalable backend services, APIs, distributed microservices, andfrontend applications using Python, Node.js, and React.• Develop and optimize MongoDB aggregations, ElasticSearch queries, indexing pipelines, andlarge-scale retrieval workflows.• Build responsive and scalable frontend interfaces using React, Redux, and modern UIframeworks.• 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 structuredextraction pipelines.• Maintain and improve scraping, OCR, and document ingestion systems for processing structuredand 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 frontendarchitectures.• 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.
Experience - 3 to 5 YearsRole - FullTime
About VenwizAt Venwiz, we are building a next-generation enterprise B2B platform that digitizes industrialprocurement 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 solvingbackend engineering problems, building scalable APIs, optimizing databases and search systems, andworking 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), StyledComponents, venwiz-ui
Responsibilities• Build, maintain, and optimize scalable backend services, APIs, distributed microservices, andfrontend applications using Python, Node.js, and React.• Develop and optimize MongoDB aggregations, ElasticSearch queries, indexing pipelines, andlarge-scale retrieval workflows.• Build responsive and scalable frontend interfaces using React, Redux, and modern UIframeworks.• 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 structuredextraction pipelines.• Maintain and improve scraping, OCR, and document ingestion systems for processing structuredand 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 frontendarchitectures.• 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.
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