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Jobs(26,574)/SDET Role(43)/Zinier Inc (3) - SDE-2, Partner Engineering
Zinier Inc

Zinier Inc - SDE-2, Partner Engineering

Bangalore - Hybrid+ Equity1w ago
In OfficeSeniorAPACCloud ComputingArtificial IntelligenceSDETJavaJavaScriptTypeScriptQuality AssuranceReactAngularRESTJasmineGitMochaJestAzureSpring BootSQLNoSQLAWSGCP

Requirements

• We are looking for a SDE to join our rapidly expanding Engineering team. • 6–10 years of software development experience building scalable web applications. • Strong programming fundamentals in JavaScript/TypeScript. • Experience with modern frontend frameworks such as React.js or Angular. • Good understanding of asynchronous programming, AJAX/fetch, JSON, REST APIs, and web application architecture. • Experience with API integrations, authentication, authorization, and API security. • Experience with unit testing frameworks such as Jest, Jasmine, or Mocha. • Strong debugging and problem-solving skills. • Experience with Git and CI/CD practices. • Understanding of web performance optimization and cross-browser compatibility. • Ability to work effectively in a low-code/no-code application development environment. • Hands-on experience building or integrating applications powered by LLMs or AI services. • Experience with AI/LLM platforms or APIs such as OpenAI, Azure OpenAI, Vertex AI, Amazon Bedrock, or similar. • Experience designing and iterating on prompt flows and AI workflows. • Understanding of structured outputs, function/tool calling, RAG, or agentic workflows. • Ability to evaluate AI output quality and design mechanisms for monitoring, feedback, and continuous improvement. • Understanding of AI application security, data privacy, hallucination mitigation, and access control. • Backend Development — Good to Have • Experience with Java/JEE, Spring Boot, and RESTful services. • Understanding of database design, schemas, and SQL/NoSQL databases. • Exposure to microservices architecture. • Experience with cloud platforms such as AWS, Azure, or GCP. • What would make a candidate successful • Strong software engineering fundamentals rather than dependence on a particular framework. • Ability to translate business requirements into working applications. • Comfortable working across UI → business logic → APIs → integrations → data. • Strong troubleshooting and analytical skills. • Curiosity and willingness to learn new platform capabilities and AI technologies. • Ability to balance configuration, low-code development, and custom engineering appropriately.

Responsibilities

• Application Development – Design, develop, configure, and enhance business applications using the Zinier Low/No-Code Platform. • Module Development – Build new modules, workflows, business rules, UI components, and application capabilities based on product requirements. • Application Enhancement – Analyze existing modules and continuously improve functionality, usability, reliability, and performance. • Integration Development – Build and maintain integrations with REST APIs, third-party applications, enterprise systems, and other services. • End-to-End Development – Work across frontend, backend, APIs, integrations, and platform components to deliver complete solutions. • Testing & Quality Assurance – Develop unit, integration, and functional tests and ensure high-quality production releases. • Performance & Security – Identify and resolve performance bottlenecks and implement secure application development practices, including protection against XSS, CSRF/XSRF, and other common web vulnerabilities. • AI-Native Development – Build and integrate AI/LLM-powered capabilities such as copilots, intelligent automation, recommendations, and AI-assisted workflows. • Production Support – Diagnose and resolve application, integration, and production issues efficiently. • Collaboration – Work closely with Product Managers, Designers, Architects, QA, and other engineering teams to deliver robust solutions. • Version Control & Deployment – Follow engineering best practices using Git, CI/CD pipelines, code reviews, and automated testing. • Continuous Improvement – Identify opportunities to improve application architecture, development processes, platform capabilities, and engineering productivity.

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