CommScope is pushing the boundaries of communications technology. For more than 40 years, we’ve been leaders in innovating 5G, private networks and Gigabit speeds everywhere – we're always anticipating what’s next. Developments such as the Internet of Things, seamless connectivity, Cloud and 5G introduce new requirements and demand creative thinking. With our unmatched expertise in copper, fiber, and wireless infrastructure, our global clients rely on us to outperform today and be ready for the needs of tomorrow.
Ruckus is a Business Unit within CommScope, focused on delivering cutting edge solutions to build a smarter, simpler, more connected world. At the heart of global connectivity are the engineers who write innovative software for our award-winning routing and switching products to bring the information quickly and reliably where needed. We are a pioneer in the wireless infrastructure market, enabling carriers and enterprises to stay ahead of the exploding demand for high-bandwidth applications and services Our Ruckus Smart Wi-Fi, LTE, and Switching technology redefines what’s possible in wireless network performance with flexibility, reliability, and affordability.
The Team
You will work with a dynamic and focused team to develop state-of-the-art big data applications in Analytics and Artificial Intelligence (AI). As our Staff Software Engineer, you will be implementing our core software components, and be involved in scalable design for cloud software architecture. This is an exciting opportunity to join our talented team and be involved in the next technology trend: Analytics & AI in Networking.
You Will Excite Us If You Have
• More than 6-8 years of software development experience.
• Well versed in end-to-end product development
• Well versed in data pipeline tools like Kafka, Spark Streaming etc.
• Have working experience with functional programming languages like Scala.
• Have working knowledge in one/some of these Big Data technologies - Spark, Flink, Beam, Snowflake, Hadoop, etc.
• Have working experience in Python and AI/ML libraries.
• Have working knowledge in databases like Postgres, Druid, MongoDB.
• Good understanding in testing methodologies and tools.
• Comfortable working in Linux environment
• Familiar with agile development methodology
• Familiar with cloud deployment using Kubernetes, Docker.
