Frontend SDE 2/3
# Frontend SDE 2/3 **Weekday** · Bengaluru, Karnataka · `On-site` 🕒 **Статус:** *Опубликовано: вчера* · *Источник: Indeed* --- ### About the Role This role is for one of our clients Seniority level: Associate level Industry: Technology, Information and Internet Company Name: MyNaksh Min Experience: 2+ years Location: Bengaluru, Karnataka, India JobType: full-time Frontend Engineer (SDE 2/3) — MyNaksh, Bangalore (WFO) You'll own Frontend systems end to end, with no layer of process between you and what ships. What you'll do Own architecture, code quality, performance, and reliability for mobile. Build animation-rich, devotional-first experiences (Reanimated, Lottie, Skia). Drive offline-first capabilities (SQLite, MMKV, caching strategies). Must have 2–7 years of professional experience with React Native , deep expertise in RN internals. Strong command of JavaScript/TypeScript , React, gesture systems, and native bridges. Experience architecting large-scale mobile apps (modularization, performance tuning). Solid understanding of iOS/Android build pipelines , OTA updates, and CI/CD. Big plus Experience with Hindi/regional language apps or shareable content engines. Built apps with daily rituals (meditation, journaling, devotional). Exposure to LLM-based personalization , ML APIs, or observability tools. You'll fit if You default to ownership, move without waiting for direction, and want to build in a space that's culturally deep and technically unsolved. About the company MyNaksh is India's fastest-growing AI astrology platform. - raised ~$2M in VC funding - 1M MAUs - $2M in ARR All in ~7m since launch, focusing on building trust and offering mass India world-class experiences. Next 6m hyperscale phase > 10M MAUs, $15M ARR, going global + adjacent markets. Must-have skills Mobile app, B2C Good-to-have skills React Native, App deployment We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Наблюдалась 2026-09-15, впервые 2026-09-14, источник — Indeed.