Careers

Responsibilities:

• Design and manage complex data pipelines tailored for sophisticated matchmaking and behavioral analytics.
• Lead data architecture optimizations to support real-time data processing and analytics at scale.
• Innovate new data ingestion and transformation strategies to enhance data fidelity and utility.
• Develop comprehensive data governance and compliance protocols to meet international standards.
• Mentor junior data engineers and oversee the integration of emerging data technologies.

Requirements:

• Advanced degree in Data Science, Computer Science, or a related field, with extensive experience in data systems for consumer-facing applications.
• Deep expertise in high-volume, high-velocity data pipeline frameworks and database technologies.
• Demonstrated leadership in data strategy and architecture improvements in a product-centric environment.
• Strong command of ethical data handling practices and compliance with data protection regulations.
• Excellent collaboration and communication skills, with a proven ability to lead complex projects.

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Responsibilities:

• Develop state-of-the-art machine learning models to drive innovation in the matchmaking process.
• Lead cross-functional initiatives to leverage AI for enhanced user interaction and satisfaction.
• Conduct sophisticated data analyses to extract actionable insights from vast amounts of user data.
• Champion the integration of the latest AI technologies into the product roadmap.
• Provide thought leadership and mentorship in AI and machine learning across the company.

Requirements:

• PhD or Master’s degree in Machine Learning, AI, or related fields, with extensive professional experience in similar roles.
• Profound knowledge of modern machine learning techniques and their real-world advantages and limitations.
• Experience in deploying scalable machine learning solutions in a production environment.
• Strong analytical skills with the ability to model complex user behaviors and preferences.
• Leadership experience in AI projects with a track record of delivering measurable improvements.

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Responsibilities:

• Lead the design and development of critical iOS features that meet the sophisticated needs of a diverse user base.
• Innovate and implement cutting-edge iOS technologies to enhance app performance and user experience.
• Oversee the entire app lifecycle from concept stage until delivery and post-launch support.
• Act as a key player in strategic planning sessions for future iOS updates.
• Mentor junior developers and foster a collaborative environment to innovate app solutions.

Requirements:

• Proven track record of developing high-quality apps in Swift and Objective-C, with multiple apps in the App Store.
• Expertise in advanced iOS features, including deep linking, Core Data, Core Animation, and Grand Central Dispatch.
• Strong understanding of Apple’s Human Interface Guidelines and experience with app submission, review, and appeal processes.
• Experience with real-time data and multimedia streaming.
• Leadership skills and experience in a senior developer role, guiding projects to successful completion.

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Responsibilities:

• Architect and build sophisticated Android applications that lead the market in terms of scale and user satisfaction.
• Utilize the full spectrum of Android technologies to solve complex problems and enhance the user experience.
• Lead the charge in adopting Kotlin coroutines for asynchronous programming and state flow for reactive user interfaces.
• Drive best practices in code quality, security, and maintainability across the Android development team.
• Mentor team members, promoting skill development and fostering an innovative development culture.

Requirements:

• Deep expertise in Android development with a strong portfolio of released applications that showcase depth and innovation.
• Mastery of Kotlin and Java, with a solid understanding of all Android SDK components.
• Extensive experience with Android performance tuning, threading, and background processing.
• Strong knowledge of Android UI design principles, patterns, and best practices.
• Leadership experience with a track record of motivating and leading teams through complex software development cycles.

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Responsibilities:

• Lead the development and execution of comprehensive test plans to ensure the app’s functionality, performance, and security meet high standards.
• Spearhead automation strategies to streamline testing processes, reducing time to market while ensuring thorough coverage.
• Conduct advanced performance and stress testing to ensure the app remains responsive and stable under various conditions.
• Collaborate closely with development teams to identify, document, and resolve defects promptly.
• Mentor junior QA staff and contribute to the continuous improvement of QA practices and tools.

Requirements:

• Proven experience as a QA engineer in a fast-paced software development environment, preferably with mobile applications.
• Expertise in automated testing tools and frameworks, such as Selenium, Appium, or similar, tailored for complex mobile applications.
• Strong understanding of software development life cycles and best practices in software quality assurance.
• Experience with performance and security testing, particularly in mobile and web applications.
• Excellent problem-solving skills and the ability to work collaboratively in a team-oriented environment.

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Responsibilities:

• Design and develop high-performance backend systems that support real-time interactions and data processing for a sophisticated dating app.
• Lead efforts to optimize database operations and server responses to handle high volumes of concurrent users efficiently.
• Implement security best practices to protect user data and ensure compliance with data protection regulations.
• Collaborate with frontend developers and designers to ensure seamless integration and optimal performance of the app.
• Drive the adoption of new backend technologies and methodologies to keep the infrastructure agile and scalable.

Requirements:

• Extensive experience with backend programming languages such as Node.js, Ruby, Python, or Java.
• Proven track record in designing and managing highly scalable and reliable backend systems.
• Strong expertise in database management and optimization, with experience in both SQL and NoSQL databases.
• Deep understanding of API design and microservices architecture.
• Leadership skills and experience in guiding development teams, with a focus on agile methodologies and continuous delivery.

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