$ cat jobs/staff-software-engineer-vonage-1f3c6a8b301c.json
Staff Software Engineer
Join Vonage and help us innovate cloud communications for businesses worldwide! About Vonage Vonage is the emerging leader in the $100B+ cloud communications platform (CPaaS) market. Customers like Airbnb, Viber, WhatsApp, Snapchat, and many others depend on our APIs and SDKs to connect with their customers all over the world. As businesses continue to shift to a real-time, customer-centric communications model, we are experiencing a time of impressive growth. Why This Role Matters The RNE (Registration, Numbers and Enablement) group within Vonage's Foundation Engineering department works across four core product domains: Registration, Numbers, Number Intelligence, and Know Your Customer (KYC). As a Staff Engineer, you will be a technical anchor for the team, shaping the architecture of our cloud-native platform and influencing engineering culture across the group. What You Will Do Provide technical leadership and vision for the design and development of highly concurrent, distributed backend systems; Drive and own significant architectural decisions, ensuring scalability, reliability and maintainability across the platform; Lead performance optimisation initiatives and resolve the most complex system-level challenges; Set the standard for testing practices, including Unit, Integration and Smoke tests, enabling fully automated promotion of code to production; Define, evolve and enforce coding standards and engineering best practices across the team; Act as a technical mentor and leader, supporting the growth of engineers at all levels; Collaborate closely with product and engineering leadership to align technical strategy with business goals; Provide out-of-hours support as part of an on-call rota. What You Will Bring Essential: Extensive programming experience in Go (Golang) or deep expertise in JVM technologies (Java/Spring Boot) with a strong commitment to adopting Go; Extensive, proven experience developing and maintaining enterprise-grade systems at scale; Deep
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