Senior Engineer- Android

Roles and Responsibilities:

• Build Conviva SDKs and libraries on Android, including Android TV and Fire TV, following best practices and exposing easy-to-integrate APIs.
• Collect agent analytics data, capturing interactions with AI agents inside Android apps so they can be linked to real business results.
• Collect video analytics data by instrumenting streaming players and playback experiences to capture quality, performance, and engagement signals.
• Collect app analytics data, capturing how users interact with Android applications so customers can understand behavior, performance, and outcomes.
• Build the advertisement monitoring solution to support ads streaming on mobile and smart TV.
• Take ownership of solutions end to end, and be responsible for translating functional requirements into a product solution or offering.
• Functionally decompose complex problems into simple, straightforward solutions.
• Work closely with customers and the Integration team during initial deployment, and continue to support and sustain the features afterward.
• Work closely with Project Managers, Product Owners, and development teams to deliver quickly and continuously.

Who You Are & What You've Done:

• BS/MS in Computer Science or a related field.
• 4-6 years of experience building Android applications, SDKs, and APIs.
• Solid understanding of Java and Kotlin programming concepts.
• Strong CS fundamentals, including system design, data structures, and algorithms.
• Experienced working in small teams and delivering quickly and continuously.
• A fast learner of new product domains and technologies. You work independently on product features and sustain existing ones.
• A great problem solver with innovative ideas. You resolve issues quickly and bring them to closure.
• A clear communicator who is comfortable working directly with customers and integration teams.

What Would Make You Stand Out

• Hands-on experience with AI agents, Mobile applications, online video platforms (OVP), streaming video analytics, or digital analytics.
• Experience with app analytics, or with instrumenting AI-powered products and agents.
• Experience working with a global engineering team across time zones.