Staff Software Engineer at Tekion

Chennai, tamil nadu, India -

Full Time

Start Date

Immediate

Expiry Date

07 Jun, 26

Salary

0.0

Posted On

09 Mar, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

React, Next.js, TypeScript, Redux, Next.js App Router, React Server Components, Streaming SSR, Elasticsearch, WCAG 2.1, Core Web Vitals, Storybook, Design Systems, Data Visualization, API Contracts, Performance Engineering, Mentoring

Industry

Software Development

Description

About Tekion: Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe. Role Overview We are seeking a Staff Frontend Engineer to be the technical anchor for our frontend capability. This role goes beyond feature delivery — you will define the frontend architecture, establish the component design system, own the Next.js application structure, drive performance standards, and mentor Senior and mid-level frontend engineers. You will build the most complex, data-intensive UI surfaces: real-time attribution dashboards, AI powered campaign builders, and platform-embedded intelligence widgets — all in React + Next.js stack integrated with Elasticsearch-powered search and streaming AI responses. Key Responsibilities • Own and evolve the frontend architecture: Next.js App Router structure, component boundaries, state management strategy (Redux), and data-fetching patterns — applying hexagonal UI principles where the component layer is decoupled from specific backend service contracts. • Design and build the most technically complex UI surfaces: real-time attribution dashboards (streaming data), AI-powered campaign builder (LLM response streaming), Elasticsearch-backed customer search with faceted filtering, and platform-embedded opportunity cards. • Define the component design system: atomic component library, theming contracts, accessibility standards (WCAG 2.1), and Storybook-based documentation. • Establish frontend performance standards: Core Web Vitals targets, bundle size budgets, SSR/SSG strategy with Next.js, lazy loading, and virtualization for large data tables. • Lead Next.js architecture decisions: App Router vs. Pages Router tradeoffs, RSC (React Server Components) applicability, streaming SSR for AI-generated content, and API route design. • Integrate AI-native frontend patterns: streaming LLM responses into UI components, real-time score updates from Redis/Aerospike via SSE, and Elasticsearch typeahead search. • Drive code quality through design reviews, code reviews, pair programming, and frontend-specific engineering standards. • Mentor Senior and mid-level frontend engineers — setting the bar for component design, test coverage, and performance discipline. • Collaborate closely with backend Staff Engineers to define API contracts and with designers to implement pixel-perfect, accessible UIs Skills & Qualifications • 8+ years of frontend engineering experience with deep React and Next.js expertise in production systems. • Mastery of Next.js 14+ App Router, React Server Components, streaming SSR, and static generation — knowing when to apply each pattern. • Strong TypeScript expertise: type safety across component props, API contracts, Redux store shape, and server/client boundaries. • Deep Redux expertise: slice design, selector optimization, middleware patterns, and RTK Query for data fetching. • Proven experience building data-intensive dashboards with real-time data (WebSocket, SSE, or polling) and chart libraries (Recharts, D3.js). • Experience integrating Elasticsearch-powered search UIs: typeahead, faceted search, and result ranking display. • Strong frontend performance engineering: bundle analysis, code splitting, memoization, virtualization, and Core Web Vitals optimization. • Experience establishing and maintaining component design systems with accessibility standards. • Experience mentoring engineers and raising the technical bar across a frontend team. Good to Have • Experience streaming LLM/AI-generated content into React UI components (token streaming, partial rendering patterns). • Familiarity with platform-embedded micro-frontend patterns (module federation or iframe-based embedding). • Background in automotive retail, eCommerce analytics, or SaaS BI/reporting platforms. • Experience with Storybook for component documentation and visual regression testing. Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics. For more information on our privacy practices, please refer to our Applicant Privacy Notice here.

Responsibilities

This Staff Frontend Engineer will act as the technical anchor, defining the frontend architecture, establishing the component design system, and owning the Next.js application structure. Key tasks include building complex, data-intensive UI surfaces like real-time attribution dashboards and AI-powered campaign builders.