Coursera and Udemy are now one company, helping more than 300 million learners and 12,000+ enterprise customers build skills for a world being reshaped by AI.
Responsibilities
Build, scale and maintain the infrastructure and platform required to deliver production-grade agentic AI solutions.
Lead architecture and technical design while ensuring high availability, reliability and scalability.
Analyze customer requirements, understand enterprise data landscape and ensure data privacy and residency compliance.
Collaborate closely with Product Managers and Tech Innovation Strategists to scope out problem statements.
Set a high standard of excellence for engineering culture and developer experience.
Participate in sprint planning, technical grooming, and retrospective discussions.
Requirements
5+ years of experience in a software engineering role with a strong background in backend engineering and cloud infrastructure.
1+ years of experience building production-grade agentic AI solutions.
Proficiency in backend languages such as Python, Java, Node.js or Go and technologies such as Docker, Kubernetes and Kafka.
Strong experience in implementing APIs, working with SQL and NoSQL databases and writing E2E automated tests.
Deep understanding of cloud platforms (AWS, GCP, or Azure).
Expertise in infrastructure as code tools like Terraform and CI/CD solutions such as GitHub Actions or Jenkins.
Prior experience in leading projects and debugging complex issues with minimal supervision.
Experience with modern evolving technologies on agentic AI such as RAG, MCP, LangGraph, LangFuse is preferred.