Who We Are Zinier is building technology for the millions of people who perform critical work in the field every day. Our platform helps field-service organizations in industries such as telecom and energy automate operations, make better decisions, and enable their workforce to work smarter and more efficiently. AI and intelligent automation are increasingly fundamental to how we build our products and how our engineering teams operate. We are looking for engineering leaders who can combine strong software architecture fundamentals with an AI-native approach to building software. What We're Looking For We are looking for a Technical Lead / Senior Tech Lead to lead the architecture and evolution of Zinier's web platform. This is a hands-on technical leadership role responsible for building scalable, high-performance enterprise applications using React, Javascript (Typescript desirable) and Redux , while helping the engineering organization adopt modern AI-assisted and AI-native software development practices . Role Responsibilities
- Own and evolve the architecture of large-scale frontend applications built primarily using React, TypeScript and Redux/Redux-Saga .
- Lead and mentor frontend engineers through architecture discussions, design reviews, code reviews and hands-on technical guidance.
- Design modular, reusable and maintainable frontend architectures capable of supporting complex enterprise workflows.
- Drive engineering standards around component architecture, state management, API integration, performance, security, accessibility and maintainability.
- Establish clear patterns for frontend state management using Redux, server-state management, caching and asynchronous data flows.
- Collaborate closely with Product, UX, Backend, Platform, QA and AI/Data teams to translate complex product requirements into scalable technical solutions.
- Own major technical initiatives from architecture and prototyping through implementation, production rollout and continuous improvement.
- Identify and address frontend performance bottlenecks including rendering, memory usage, network performance, bundle size and large-data rendering.
- Drive modernization of legacy frontend architecture while balancing product delivery and technical debt.
- Establish engineering practices around automated testing, observability, CI/CD and production reliability.
- Evaluate emerging frontend technologies and make pragmatic decisions about where they should—or should not—be adopted.
- Participate in hiring, mentoring and development of engineers and help raise the overall technical bar of the engineering organization.
AI-Native Engineering AI should be treated as part of the engineering workflow rather than simply another developer tool.
The Technical Lead will
- Drive adoption of AI-assisted software development across design, coding, debugging, testing, documentation and code review.
- Be proficient with modern AI coding environments and assistants such as Claude Code, GitHub Copilot, Cursor or equivalent tools .
- Demonstrate the ability to use AI effectively for understanding large codebases, generating and refactoring code, debugging complex problems and accelerating implementation.
- Establish practices for safely using AI-generated code, including human review, automated testing, security validation and architectural consistency.
- Use AI to accelerate creation of unit tests, integration tests, E2E tests, test data and regression coverage.
- Understand concepts such as LLMs, RAG and AI agents sufficiently to collaborate with AI engineering teams and build AI-powered product experiences.
- Understand how to integrate AI capabilities into web applications through APIs, streaming responses and tool-driven workflows.
- Continuously experiment with emerging AI engineering capabilities while making pragmatic decisions about their production readiness.
Core Technical Experience
- 8+ years of software engineering experience with significant experience designing and building large-scale frontend applications.
- Strong hands-on expertise with React and modern React patterns .
- Strong proficiency in TypeScript and modern JavaScript (ESNext) .
- Deep understanding of Redux , Redux Saga and modern React-Redux patterns .
- Strong understanding of React Hooks, component composition, rendering behavior, memoization and frontend performance.
- Strong knowledge of HTML5, CSS, responsive design, browser APIs and modern web standards.
- Experience designing reusable component libraries and design systems .
- Strong understanding of frontend architecture patterns including modular architecture, domain-driven frontend design and micro-frontends where appropriate.
- Experience designing frontend applications that consume REST APIs, GraphQL, WebSockets and event-driven APIs.
- Understanding of authentication and authorization patterns including OAuth/OIDC, JWT and role-based access control.
- Strong knowledge of browser performance, caching, network optimization and frontend security.
- Experience building applications that handle large datasets, complex workflows, real-time updates and highly interactive user interfaces .
- Understanding of JSON-driven UI engines and configuration-driven architectures, including dynamically rendering UI components, forms, workflows, and behaviors from configuration, is preferred.
Modern Engineering Stack & Practices Strong experience with several of the following:
- React
- TypeScript
- Redux Saga
- NPM / Yarn
- Jest
- React Testing Library
- Playwright
- Storybook
- REST / GraphQL / WebSockets
- Git and modern branching/development workflows
- CI/CD using GitHub Actions, Jenkins or equivalent
- Docker
- AWS / Azure
- Application monitoring and observability tools
Experience with Playwright or equivalent browser automation frameworks and the ability to drive a strong automated-testing strategy is particularly valuable. Archit
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