Lead Software Engineer

ABOUT THE COMPANY

Waybeo is a conversation intelligence platform that helps enterprises turn every customer conversation into actionable business intelligence. Built on deep telecom expertise and AI-powered technology, Waybeo enables businesses to track, manage, and analyze customer conversations across their sales and marketing journeys. From call tracking and marketing attribution to call automation, speech analytics, and AI-driven conversation insights, Waybeo helps enterprises improve customer engagement, optimize operations, and drive measurable revenue growth.

Today, Waybeo powers communication intelligence across 100,000+ enterprise locations and serves 150+ enterprise customers across sectors including automotive, BFSI, retail, healthcare, and telecom. Waybeo is part of the CareStack group, a global healthcare technology company. As an independent business within the group, Waybeo remains focused on building and scaling its expertise in cloud communications, telecom, and AI to help enterprises transform customer conversations into meaningful business outcomes.

ABOUT THE ROLE

We are transforming our core platform from a legacy, high-volume environment into a modern, highly scalable polyglot microservices ecosystem. We run a high-throughput platform processing massive daily transactions and are actively executing a multi-tenant migration strategy.
We are looking for a hands-on Senior / Lead Software Engineer to serve as our primary technical anchor on the office floor in Trivandrum. Working directly alongside our leadership team, you will translate strategic architectural visions into clean, maintainable code, mentor a growing team of junior engineers, enforce coding standards, and eliminate technical debt.
This is a hands-on execution role — you will be writing code, reviewing PRs, building automated pipelines, and driving daily engineering excellence in close alignment with technical leadership.

KEY RESPONSIBILITIES

• Tactical Execution & Ownership: Take end-to-end operational ownership of core platform modules — code quality, maintainability, performance, and clear system documentation.
• Migration & Refactoring: Drive the hands-on transition of legacy client setups into our modern microservices ecosystem (TypeScript, Go, MySQL) following approved architectural blueprints and zero-downtime data migration strategies.
• Standards & Rigor: Eliminate anti-patterns and hacks. Enforce automated testing (unit/integration), strict code reviews, CI/CD pipelines, and proper observability across the team.
• In-Office Mentorship: Pair-program with and guide junior engineers daily to level up their debugging skills, design pattern usage, and code hygiene.
• Documentation: Maintain detailed system architecture diagrams, API specs, and Architecture Decision Records (ADRs) to enable smooth asynchronous alignment with remote executive leadership.
• Floor Anchor: Serve as the daily technical lead and primary go-to person on the office floor, keeping team velocity high while coordinating closely with leadership on key technical decisions.

REQUIRED QUALIFICATIONS

• 5+ years of hands-on experience building, scaling, and maintaining backend systems in production environments.
• Strong proficiency in Node.js / TypeScript and/or Go.
• Deep expertise in relational databases (MySQL), schema design, index optimization, and safe, zero-downtime data migration techniques.****
• Demonstrated understanding of microservices architecture, design patterns, clean architecture, and API design (REST / gRPC).
• Hands-on mindset toward automated testing (unit, integration, E2E) and modern CI/CD pipelines.
• Excellent written communication, with a habits-first approach to documentation and asynchronous updates.
• Proven ability to mentor and guide junior developers effectively in an office setting.

NICE TO HAVE
• Experience with high-throughput or real-time event platforms such as Kafka, SQS, or WebSockets.
• Prior experience participating in a monolith-to-microservices migration.
• Experience with cloud data warehousing or analytics pipelines, such as BigQuery or Dataform.