{"id":2786829,"url":"https://alion.io/job/venwiz-software-devleopment-engineer","title":"Software Devleopment Engineer","company":{"id":4394313,"name":"Venwiz","domain":"venwiz.com","url":"https://alion.io/company/venwiz","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Keka","truth_index":null},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Docker","optional":false},{"name":"ElasticSearch","optional":false},{"name":"KEDA","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangGraph","optional":false},{"name":"Node JS","optional":false},{"name":"OCR","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React Router","optional":false},{"name":"React.js","optional":false},{"name":"Redux","optional":false},{"name":"Sass","optional":false},{"name":"styled-components","optional":false},{"name":"TypeScript","optional":false},{"name":"Express","optional":true},{"name":"FastAPI","optional":true},{"name":"Flask","optional":true},{"name":"Google ADK","optional":true},{"name":"JavaScript","optional":true},{"name":"LangChain","optional":true},{"name":"Memcached","optional":true},{"name":"Nest.JS","optional":true},{"name":"Scrapy","optional":true}],"status":"live","first_seen_at":"2026-09-28T12:18:03Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-17T22:32:08Z","board_verified":true,"closed_at":null,"days_open":19,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":19},"description":"Software Devleopment Engineer\nExperience - 3 to 5 Years\nRole - FullTime\nAbout Venwiz\nAt Venwiz, we are building a next-generation enterprise B2B platform that digitizes industrial\nprocurement and vendor management at scale. Our platform powers complex vendor discovery, search,\nprocurement workflows, and AI-assisted data intelligence for large industrial enterprises.\nWe are looking for a highly motivated Software Development Engineer I (SDE-1) who enjoys solving\nbackend engineering problems, building scalable APIs, optimizing databases and search systems, and\nworking with modern AI infrastructure in production environments.\nTechnology Stack\nBackend & Infrastructure: Python, TypeScript/JavaScript (Node.js), NestJS, Express.js, Flask,\nFastAPI, MongoDB, Memcached (AWS ElastiCache), ElasticSearch, Vector Search Systems,\nDocker, Kubernetes, Microsoft Azure, AWS, Scrapy, BeautifulSoup4, OCR Pipelines.\nAI, Messaging & Distributed Systems: Azure OpenAI (GPT Models), LangGraph, Google ADK\n(Agent Development Kit), Azure Service Bus, AWS SQS/SNS, KEDA, Distributed Microservices,\nEvent-Driven Architectures, AI Agent Workflows, Search & Retrieval Infrastructure.\nFrontend: React 18 (TypeScript), Redux, Redux-Thunk, React Router v5, Sass (SCSS), Styled\nComponents, venwiz-ui\nResponsibilities\nBuild, maintain, and optimize scalable backend services, APIs, distributed microservices, and\nfrontend applications using Python, Node.js, and React.\nDevelop and optimize MongoDB aggregations, ElasticSearch queries, indexing pipelines, and\nlarge-scale retrieval workflows.\nBuild responsive and scalable frontend interfaces using React, Redux, and modern UI\nframeworks.\nWork on asynchronous event-driven architectures using Azure Service Bus, AWS SQS/SNS,\nbackground workers, and KEDA-based scaling.\nIntegrate AI-powered workflows using Azure OpenAI, LangGraph, vector search, and structured\nextraction pipelines.\nMaintain and improve scraping, OCR, and document ingestion systems for processing structured\nand unstructured enterprise data.\nWrite clean, production-grade code with strong focus on testing, debugging, observability,\nperformance, and maintainability.\nWhat We Look For\nStrong fundamentals in backend engineering, frontend development, and data structures.\nGood understanding of APIs, databases, scalable system design, and modern frontend\narchitectures.\nAbility to debug complex issues across services, frontend applications, and distributed workflows.\nCuriosity to learn modern AI infrastructure, distributed systems, and scalable web architectures.\nOwnership mindset with attention to code quality, maintainability, and user experience.\nAbility to work in fast-moving product environments.\nBonus Experience\nExperience with ElasticSearch relevance tuning, vector search, or retrieval systems.\nExposure to LLMs, AI agents, or retrieval-augmented workflows.\nFamiliarity with Kubernetes, Docker, or cloud-native systems.\nExperience building scraping, OCR, or large-scale ingestion pipelines.\nExperience with React performance optimization or large-scale frontend systems.\nContributions to side projects, open-source work, or production 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