Technical Lead - Node.js/React.js - Omnichannel Dialer & AI Platforms

Tech Lead :

Experience : 12 - 15 years

Location : Gurugram

We're building an AI-native omnichannel dialer platform to transform how businesses engage with customers. As Tech Lead, you'll spearhead architecture, guide a talented engineering team, and ensure delivery of scalable, secure, and innovative solutions.

What You'll Do :

- Lead design and development of our AI-powered omnichannel dialer platform.

- Architect scalable SaaS systems using modern full-stack and cloud technologies.

- Drive CRM integrations (Salesforce, HubSpot, Zoho) and ensure compliance (DNC, GDPR, TCPA).

- Build real-time monitoring, analytics and reporting dashboards for managers and supervisors.

- Champion DevOps : CI/CD pipelines, containerization (Docker, Kubernetes), automated testing.

- Mentor developers, enforce coding standards, and lead sprint delivery.

- Collaborate with Product, AI, and Telephony teams to deliver cutting-edge features.

Primary Skills :

- Strong experience in Node.js, React.js, and modern JavaScript/TypeScript.

- Solid database expertise : PostgreSQL, MongoDB/Redis (preferred).

- Proven SaaS architecture experience on AWS/GCP/Azure.

- Hands-on with CI/CD pipelines, Docker, Kubernetes, GitHub/GitLab.

- Exposure to AI/ML integration (e.g., LLM APIs, NLP, STT pipelines).

- Excellent problem-solving, architecture, and leadership skills.

- 12+ years in software development, including 3+ years leading teams.

Secondary Skills :

- Experience with Asterisk, Kamailio, or FreeSWITCH dialer engines.

- Knowledge of SIP, WebRTC, and telephony systems.

- Familiarity with autodialer modes : predictive, power, progressive, preview.

- CRM integration experience with Salesforce, HubSpot, Zoho.

- Understanding of compliance standards (DNC, GDPR, TCPA).

- Experience with real-time analytics dashboards and call center KPIs.

Bonus Skills :

- AI/ML : NLP, STT, LLMs for intelligent call handling and summarization.

- Speech analytics, transcription, or AI-driven quality monitoring.