Software Development Engineer II - Android

Job description

Most boards and executives are currently flying blind when it comes to cyber risk. They are guessing. At Safe, we’ve built an AI-driven engine that finally gives the C-Suite a clear, quantified, and real-time view of their security posture. We don’t just provide data; we provide **certainty**. We are a **$170M Series C-funded** category leader. We don’t play in the mid-market; we operate at the highest levels of global enterprise. Today, we are proud to **serve 10% of the Fortune 500**, protecting global icons such as **Apple, Netflix, AT&T, Verizon, and Victoria’s Secret**. As we scale toward our next chapter, we are looking for high-performers who want to do the best work of their careers at the intersection of AI and Cybersecurity. ### [**The Culture Memo: Our Operating System**](https://jobs.safe.security/culture/) Safe is not a typical corporate environment. We are a high-intensity, mission-driven team. We value builders who want to define a category and work alongside people who are equally committed to excellence. - **Extreme Ownership:** We don’t do "not my job." We hire people who see a gap and own the solution from start to finish. - **The Elite Standard:** We serve the most sophisticated companies on the planet. Our work must be bulletproof. Whether it’s a line of code or a sales deck, we aim for Tier-1 quality every time. - **Methodology & Rigor:** We don’t wing it. From **Force Management** and **MEDDICC** in sales to **data-driven sprints** in engineering, we rely on proven frameworks to stay disciplined and predictable. - **Radical Candor:** We move too fast for politics or sugar-coating. We value direct, honest feedback that helps us find the right answer quickly. - **The Series C Hustle:** We have the stability of a well-funded leader but the heart of a startup. ### **The Perks & Ownership:** We want our team to feel like owners because they **are** owners. We trust our people to manage their results and their time. - **Meaningful Equity:** Every "Safestar" is a shareholder. You aren’t just an employee; you are a partner in our success. - **Unlimited Leaves:** We don’t believe in clock-watching. We offer **unlimited leave** because we trust you to take the time you need to recharge while staying committed to the mission. - **Comprehensive Benefits:** We provide top-tier medical insurance and wellness benefits to ensure you and your family are well cared for. - **Career Trajectory:** We are growing aggressively. For high-performers, the path for advancement moves at the speed of your ambition. 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.