Software Engineer 2 – Partner Engineering

What we're looking for

We are looking for a SDE to join our rapidly expanding Engineering team. 

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.

Required Skills

• 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.

AI-Native Development — Must Have

• 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.