Genesys · TN, India
Skills: React, Python, Java, SQL, AWS, Docker, CI/CD
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.
We are seeking a Staff Software Engineer (individual contributor) to join our Voice Platform team as a hands-on senior engineer for high-performance, network-facing services that power real-time voice communications for Genesys Cloud contact centers worldwide. This is an exciting opportunity for an experienced engineer who is strong in Java, AI and cloud backend development, proficient (or eager to grow) in C and systems-level software, skilled in networking and Linux, and motivated to deepen expertise in SIP/VoIP and voice-platform systems.
This is a deep technical role, not a people-management role. You will spend your time designing and building, work across cloud backend microservices, serverless components, and systems-level software, and raise the technical bar through hands-on contribution. Prior SIP/VoIP or contact-center experience is a plus, not a strict requirement. If you enjoy complex distributed systems, production ownership, and solving hard problems while continuing to learn a specialized domain, this is a high-impact opportunity.
Key Responsibilities
The primary responsibilities for this role include (but are not limited to):
Design, develop, and deliver scalable cloud backend and voice-platform services that support real-time communications with high reliability and operational excellence. Hands-on implement backend microservices in Java and Spring Boot, along with Python-based serverless functions (AWS …tru…
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