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Salary
$14k – $52k per year (Estimated)
Location
In office (Bengaluru)
Seniority
Middle · 3+ years exp
Employment
Full-Time
Overview
Company
Impact
Profile match
Headquartered in Palo Alto, California, Safe Security is a cybersecurity technology company specializing in digital business risk quantification and continuous threat exposure management. The company’s AI-powered platform aggregates real-time technical signals across an organization's ecosystem to dynamically predict breach likelihood and estimate potential financial risk.

We are seeking an experienced and passionate Android Engineer to join our engineering team. As an SDE II, you will work closely with Design, Product, AI, Backend, and Platform teams to develop and deliver secure, scalable, and high-performance mobile applications that help organizations predict and prevent cyber breaches.

You will be the primary owner of our Android application, bringing it to feature parity with our iOS app while delivering high-fidelity UI, smooth animations, and a polished user experience. You will work from Figma designs that may not always specify every detail; we expect you to identify gaps, ask the right questions, and deliver results that exceed expectations.

You will be expected to leverage AI-assisted engineering practices as part of your daily workflow while contributing to architecture decisions, engineering excellence initiatives, and the delivery of world-class mobile experiences for enterprise customers.

Core Responsibilities:

    Mobile Development

  • Design, develop, test, and maintain Android applications using Kotlin and modern Android development practices.

  • Translate Figma designs into high-fidelity Android UI - faithfully matching spacing, typography, colors, corner radii, and animation behavior.

  • Build smooth, performant animations that feel native and polished. Respect platform conventions and accessibility settings (e.g., Reduce Motion).

  • Own features end-to-end from requirements and design through deployment and monitoring.

  • Technical Contribution

  • Engage actively in architecture and design discussions, lending your expertise to implement scalable, secure, and high-performance mobile solutions.

  • Implement modern Android architectures, including MVVM, Clean Architecture, and modular design patterns.

  • Drive improvements in application performance, reliability, maintainability, and security.

  • AI-Assisted Engineering

  • Actively leverage AI-assisted development tools such as Cursor, GitHub Copilot, ChatGPT, Claude, Gemini, or equivalent as part of day-to-day software development.

  • Use AI for code generation, debugging, refactoring, test creation, documentation, code reviews, and development acceleration.

  • Demonstrate strong engineering judgment by reviewing, validating, and improving AI-generated code before production use.

  • Contribute to Safe’s AI-first engineering culture and continuously identify opportunities to improve engineering productivity through AI-assisted workflows.

  • Code Review

  • Conduct thorough code reviews to maintain code quality, identify opportunities for improvement, and share constructive feedback with team members.

  • Problem Solving

  • Proactively identify gaps, ambiguities, or missing specifications in designs and requirements - propose solutions rather than waiting for clarification.

  • Troubleshoot and resolve complex technical issues, identifying root causes and implementing effective solutions.

  • Analyze production issues and implement preventive measures to improve application stability, reliability, and performance.

  • Collaboration

  • Collaborate with the iOS team to ensure visual and behavioral consistency across platforms.

  • Collaborate closely with Product Managers, Designers, Backend Engineers, Architects, and other stakeholders to ensure alignment between technical solutions and business objectives.

  • Work effectively across teams to deliver seamless user experiences.

  • Project Execution

  • Play a key role in project planning, execution, and timely delivery of features, ensuring adherence to project timelines and scope.

  • Take ownership of deliverables and drive projects from conception to production.

Essential Skills/ Qualifications/ Experience:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.

  • 3-5 years of professional experience in Android application development.

  • Strong proficiency in Kotlin and Android SDK.

  • Experience building and shipping production-grade Android applications.

  • Strong understanding of Android architecture patterns, including MVVM, Clean Architecture, and modular application design.

  • Experience with Jetpack Compose and modern Android UI development.

  • Hands-on experience with Coroutines, Flow, and asynchronous programming.

  • Experience with Hilt dependency injection framework.

  • Experience in consuming RESTful APIs and integrating backend services.

  • Strong understanding of mobile application performance optimization and debugging.

  • Experience with local persistence technologies such as Room.

  • Familiarity with CI/CD pipelines and modern software development practices.

  • Hands-on experience with AI-assisted development tools such as Cursor, GitHub Copilot, ChatGPT, Claude, Gemini, or equivalent.

  • Strong understanding of software engineering fundamentals and the ability to critically evaluate, validate, and improve AI-generated code.

  • Experience participating in technical design discussions and architecture decisions.

  • Ability to work in a fast-paced environment with high ownership.

  • Strong problem-solving and debugging skills.

  • Experience in converting Figma designs to production screens.

  • Experience with custom drawing and data visualization on Android (Canvas API, custom Compose drawing, or charting libraries).

Nice to have:

  • Experience building enterprise SaaS applications.

  • Experience with Sentry observability tools.

  • Experience with KMP (Kotlin Multiplatform).

  • Knowledge of mobile security best practices, authentication, OAuth, SSO, and JWT.

  • Experience working with cloud platforms such as AWS, GCP, or Azure.

  • Experience building AI-native applications or integrating AI/LLM-powered capabilities into mobile applications.

  • Familiarity with cybersecurity products, enterprise security workflows, or risk management platforms.

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