Who we are

80% of the workers across the globe are Deskless. These are the people who keep our lights on and gas flowing, build roads and bridges, run our manufacturing factories, ensure that we get healthcare service, and provide us with reliable phone and internet connectivity. As entrepreneurs, have we considered solving their problems and making them more productive?

Zinier is a company on a mission to empower frontline workers - and the people supporting them - to achieve greater things for themselves and the world around them. With the majority of workers worldwide being deskless, Zinier recognizes the need for Technology Equity to improve the lives and productivity of these workers who keep the world up and running.

We are a remote-first, global team headquartered in Silicon Valley, with a hybrid workforce across the United States, Canada, Europe, Latin America, Singapore, and Bangalore, India, with leading investors that include Accel, ICONIQ Capital, Founders Fund, Newfund Capital, NGP Capital, Tiger Global Management, and Qualcomm Ventures LLC.

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.