Cresta unlocks the true potential of the customer experience, turning every conversation into a competitive advantage. Cresta’s unified AI platform combines conversational AI agents, real-time human agent augmentation, and comprehensive conversation intelligence to drive revenue and efficiency gains across every channel. The world’s leading companies, including United Airlines, Cox Communications, and Marriott, use Cresta to power world-class customer experiences every day.
Born from the Stanford AI Lab, Cresta has raised more than $270 million from the world’s leading investors, including a16z, Greylock, and Sequoia. Cresta’s leadership includes some of the leading minds in AI today. Our CEO, Ping Wu , founded and led Google's Contact Center AI and Vertex AI platforms before joining Cresta to build the future of AI-driven customer experiences.
Over the next few years, AI is going to redefine how people all over the world interact with businesses every day. Come build that future at Cresta.
About the role:
At Cresta, the Voice Platform team is on a mission to transform real-time voice infrastructure and contact center automation through AI-powered backend systems. As a Senior Software Engineer on the Voice Platform team , you’ll be responsible for designing, scaling, and operating the distributed services that power Cresta’s voice ecosystem. You’ll drive major initiatives in areas such as SIP and WebRTC support, multilingual and translation pipelines, and real-time conversation intelligence. This role requires strong technical leadership, a passion for building reliable distributed systems, and the ability to collaborate across engineering and product teams to bring innovative features into production.
Responsibilities :
- Lead the design and development of scalable, distributed backend microservices in Golang (with some Python for AI-related services).
- Own and evolve voice platform integrations with large-scale enterprise communication and contact center systems.
- Drive initiatives to expand platform capabilities, including bi-directional SIP, WebRTC integrations, multilingual support, advanced transcription, and real-time translation .
- Build systems that power conversation intelligence for both remote and in-person interactions.
- Improve observability, reliability, and self-service troubleshooting across the platform.
- Ensure performance, scalability, and resilience of real-time voice pipelines running in the cloud.
- Collaborate with cross-functional teams (ML, product, solution architects) to design end-to-end solutions for customer deployments.
- Provide technical guidance, mentorship, and best practices to other engineers on the team.
Qualifications We Value:
- Bachelor’s degree in Computer Science or related field.
- 5+ years of experience in backend system development, distributed systems,