Lead solution architecture and technical design for IVR and voice bot initiatives.
Design and develop Node.js / TypeScript microservices aligned to cloud native and low latency voice requirements.
Own end to end delivery for complex features, from design through production.
Apply agentic AI patterns using Gemini, LangGraph, and LangChain to enhance conversational behavior.
Collaborate across the contact center technology ecosystem to support call routing, self service, and agent handoff scenarios.
Establish and enforce engineering standards, including code quality, testing, and deployment practices.
Perform code reviews and mentor engineers, raising the overall technical bar.
Apply SRE principles to ensure observability, resiliency, and production readiness.
Ensure solutions comply with security and regulatory requirements (PII / PCI).
Requirements:
8+ years of software engineering experience, including 2+ years in a Tech Lead or Lead Engineer role.
Strong, hands-on experience with Node.js / TypeScript.
Proven experience designing and delivering cloud native solutions on GCP.
Solid understanding of microservices architecture, APIs, and distributed systems.
Hands on Kubernetes experience, including GKE cluster setup and platform operations.
Experience with IVR, voice bots, or contact center technologies.
Strong collaboration skills across engineering, product, and operations teams.
Excellent technical judgment, communication, and problem solving skills.
Experience with conversational AI and agentic frameworks (Gemini, LangGraph, LangChain).
Knowledge of voice flows, call routing, containment, and agent escalation.
Experience working in regulated or financial services environments.
Familiarity with CI/CD pipelines, containerization, and Infrastructure as Code.
Experience working in Agile delivery models at enterprise scale.
Demonstrated experience with Agentic “Vibe Coding” — rapid prototyping and iterative development using AI assisted coding tools, prompts, and agent driven workflows.