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TalentXO

Tech Lead (Node+React, Rabbit/Kafka)

Actively Reviewing

TalentXO

Gurugram Full-Time 4–8 yrs exp Posted 8 hours ago  · Apply by Sep 14, 2026

Hiring for a Client - Eureka Digitisation & Automation Services (eDAS)


Roles & Responsibilities

  • We’re building an AI 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 & 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) & ensure compliance (DNC, GDPR,
  • TCPA).
  • Build real-time monitoring, analytics & 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.

Ideal Candidate

Primary Skills (Must-Have)

  • 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.
  • Excellent problem-solving, architecture, and leadership skills.
  • 9-13 years in software development, including 3+ years leading teams.

Secondary Skills (Good to Have)

  • Experience with Asterisk, Kamailio, or FreSWITCH 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 & summarization.
  • Speech analytics, transcription, or AI-driven quality monitoring