Sr. Software Engineer (Android)

Walk-In Interview Drive – 18th July 2026

Vagaro Technologies Pvt Ltd. is conducting a Walk-In Interview Drive for the position of Sr. Software Engineer (Android) on Saturday, 18th July 2026.

Interview Venue:
Vagaro Technologies Pvt Ltd.
\n Westgate, D Block, 3rd Floor, Near YMCA Club,
\n S.G. Highway, Ahmedabad – , Gujarat, India

Interview Mode: Face-to-Face Interview
⏰ Timing: 9:00 AM to 5:00 PM

About the Company

Vagaro is a global leader in cloud-based business management software, serving the salon, spa, beauty, fitness, and wellness industries. Our platform enables businesses to manage scheduling, payments, marketing, and operations from one centralized system.

We are a rapidly growing, product-led company transforming how wellness businesses operate and connect with their customers.

Why Join Us

5-Day Work Week – A culture that fuels your best work

Leave Policy – 15 Paid Leaves & 11 Public Holidays = Your Time

Rewards & Recognition – Annual performance bonus & employee recognition programs

Culture & Engagement – Fun Fridays, Tech Sessions & Cultural Events

Mediclaim That Truly Cares – Support when you need it most, no hassle & just help.

Role: Sr. Software Engineer (Android)
\n Location: Ahmedabad (Work from Office)

Education : Bachelor's degree in computer science, Information Technology, or related field

Role Overview

CORE RESPONSIBILITIES

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• Own end-to-end design and architecture of significant Android features or modules in Java; introduce Kotlin incrementally where appropriate.
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• Drive performance improvements — startup time, memory, jank — with profiling-backed, measurable outcomes.
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• Lead technical discussions, mentor SDE 2 engineers, and raise the overall quality bar for the Android codebase.
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• Define coding standards, patterns, and CI/CD practices; guide gradual Kotlin adoption strategy across the team.
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• Evaluate and integrate new Android platform capabilities; advocate for best-in-class user experience.
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• Partner with product and infrastructure to define technical requirements, feasibility, and platform constraints.
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• Decompose complex epics into milestones; drive delivery across sprint cycles with clear ownership.
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AI-FIRST

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• Champion Claude (Anthropic), OpenAI Codex, and GitHub Copilot adoption across the team; establish best practices for AI-assisted Java and Kotlin development.
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• Architect on-device AI pipelines using Gemini Nano or ML Kit; evaluate build vs. integrate decisions for AI capabilities.
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• Define telemetry strategy for AI features — latency, accuracy, and user engagement KPIs in production.
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• Set guardrails for responsible AI use — data minimisation, on-device inference preference, and bias review processes.
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Claude (Anthropic) · OpenAI Codex · GitHub Copilot · Gemini Nano / ML Kit

Java (primary) · Kotlin (advantage) · XML Layouts / Views · Jetpack Components · Clean Arch / MVVM · Modularisation · Java–Kotlin Interop · CI/CD · Gemini Nano · On-device inference · LLM API design