Tech Lead (Node+React, Rabbit/Kafka)

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

About the Role

We’re building an AI-native omnichannel dialer platform that is transforming how businesses engage with customers. As a Tech Lead, you’ll own architecture, guide engineering teams, and drive the development of scalable, secure and high-performance SaaS solutions.

What You’ll Do

• Lead the design and development of an AI-powered omnichannel dialer platform.
• Architect and build scalable SaaS applications using modern full-stack and cloud technologies.
• Drive integrations with Salesforce, HubSpot, Zoho and ensure compliance with DNC, GDPR and TCPA requirements.
• Build real-time monitoring, analytics and reporting dashboards for managers and supervisors.
• Drive DevOps and engineering excellence through CI/CD, Docker, Kubernetes and automated testing.
• Mentor developers, establish coding standards and lead Agile sprint delivery.
• Collaborate with Product, AI and Telephony teams to deliver innovative customer engagement capabilities.

Ideal Candidate

• 7+ years of overall software development experience with strong backend/full-stack expertise.
• 3+ years of recent experience leading engineering teams.
• Strong hands-on expertise in Node.js, React.js, JavaScript and TypeScript.
• Proven experience building scalable full-stack applications.
• Strong experience with Kafka and/or RabbitMQ.
• Experience designing and architecting SaaS applications on AWS, Azure or GCP.
• Hands-on expertise in CI/CD, Docker, Kubernetes, GitHub/GitLab and modern DevOps practices.
• Strong database experience with PostgreSQL and either MongoDB or Redis.
• Delhi NCR-based candidates only.
• Immediate joiners or candidates who can join within 15 days will be highly preferred.

Good to Have

• Experience with Salesforce, HubSpot, Zoho, omnichannel platforms, contact centers or dialer products.
• Exposure to Asterisk, Kamailio, FreeSWITCH, SIP, WebRTC or autodialer platforms.
• Experience with AI/ML, NLP, Speech-to-Text, LLMs, speech analytics or AI-powered customer engagement products.