Senior Software Engineer - Developer Experience

Be the one building AI-powered experiences where they matter most. At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships. Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day. ABOUT THE ROLE The Senior Software Engineer - Developer Experience is a hands-on individual contributor focused on improving how engineers build, test, and deliver software across Genesys. You will design and deliver scalable tooling, automation, and development workflows that reduce friction, increase delivery velocity, and improve software quality. You will also help advance Genesys's AI-enabled software development lifecycle (AI-SDLC), applying sound technical judgment as AI capabilities and engineering practices evolve. This role has no direct reports; you will lead through technical ownership, mentorship, and collaboration. WHAT YOU'LL DO Developer Experience & Platforms ·   Design and deliver internal developer platforms, CI/CD pipelines, and reusable tooling that streamline code development, testing, and deployment workflows. ·   Build and improve standardized development environments and paved workflows using GitHub, CI/CD automation, and testing frameworks to reduce setup time and inconsistencies across partner teams. ·   Improve developer onboarding and day-to-day productivity by creating self-service capabilities, documentation, and paved paths for common engineering tasks. AI-SDLC, Automation & Quality ·   Implement and continuously improve AI-enabled software development practices, evaluating emerging capabilities and incorporating effective approaches into development, testing, and delivery workflows while maintaining quality, security, and reliability. ·   Automate build, test, and release processes across the software development lifecycle to reduce manual effort, improve consistency, and shorten delivery cycles. ·   Use software delivery and quality metrics, including build success rates, test effectiveness, lead time, deployment frequency, and change failure rate, to identify bottlenecks, prioritize improvements, and measure impact. Engineering Delivery & Adoption ·   Contribute to technical design and reusable frameworks for developer tooling and platforms, balancing developer usability, scalability, security, and operational reliability. ·   Partner with platform, security, and application teams to deliver developer experience improvements aligned with enterprise standards and engineering needs, and support adoption by gathering feedback and iterating based on usage and impact.