Join the Alexa Subscriptions & Monetization team in Hyderabad and contribute to making Alexa the world's premier personal assistant. This role offers the chance to build innovative features focused on customer safety, Alexa subscriptions, and monetization. You'll be part of a dynamic team that tackles complex challenges, leveraging cutting-edge artificial intelligence systems to create impactful experiences for millions of users.

This is an excellent opportunity to make a significant individual impact, collaborate with highly skilled professionals, and grow your expertise in designing and implementing elegant, scalable solutions. You will work on applications used by a massive user base and contribute to real-world AI-driven experiences.

Drive system design and development for services within the strategically important Subscriptions, Safety, and Monetization domain. Contribute to a tech architecture centered on micro-services and single responsibility principles, ensuring low operational overhead. Develop features for emergency assistance subscriptions, including Emergency Alerts and connecting users to emergency services. Implement AI-based anomaly detection and activity monitoring for enhanced safety and user experience.

We are seeking individuals with at least 3 years of professional software development experience (excluding internships) and 2+ years in designing or architecting new and existing systems, focusing on reliability and scaling. Proficiency in at least one programming language is essential, with a preference for Java, C++, or C#, along with strong object-oriented programming skills. Experience in application scaling, resiliency, availability, and failover mechanisms is crucial.

Demonstrated experience across the full software development lifecycle, including coding standards, code reviews, source control management, build processes, testing, and operations, is highly valued. Candidates should possess a proactive approach, seeking opportunities to innovate, simplify processes, and utilize data-driven decision-making to enhance efficiency and automate tasks. A strong desire to learn from and mentor others is also key.