Tech Lead

Company Description

Lenskart is committed to providing accessible, quality, and affordable eyewear for all, recognizing the fundamental importance of clear vision. Established as an online business in India in 2010, Lenskart expanded its reach by opening its first retail store in New Delhi in 2013. Over the years, the company has grown through a combination of online and offline channels, establishing its presence through retail stores, websites, mobile applications, and other innovative solutions. Lenskart focuses on leveraging technology to revolutionize the eyewear industry and create positive customer experiences.

Job Description Tech Lead

(Full-Stack Engineering & Systems Integration)

Location: Gurugram (On-site)

Employment Type: Full-time

We are looking for a highly experienced full-stack engineer (10+ years) who has repeatedly

designed, built, and shipped production-grade software in fast-paced environments. This role is

hands-on and architecture-driven: you will be responsible for building a scalable system that

processes real-time visual data, integrates with external devices, manages complex workflows, and

delivers a high-reliability experience.

The Tech Lead will define architectures, write high-quality code, integrate with AI/ML modules, and

guide engineering execution end-to-end. This role sits at the intersection of systems engineering,

full-stack development, and intelligent automation.

Key Responsibilities

Architect and build a production-grade platform involving real-time data processing,

workflow automation, and visual state tracking.

Design and develop backend services, API layers, and front-end dashboards that interact

with external devices and system logic.

Write clean, maintainable, scalable code across the stack, and lead by example as a

hands-on senior engineer.

Integrate with AI/ML output pipelines (vision models, inference logic, decision algorithms)

in collaboration with AI teams.

Build robust logging, annotation, monitoring, and workflow interpretation systems.

Optimise performance, reliability, and fault tolerance for real-world deployment.

Manage sprint execution, code reviews, architectural decisions, and technical

prioritisation.

Work closely with product, AI, and operations teams to deliver a cohesive experience.

Drive rapid prototyping where required, and then harden prototypes into stable production

systems.

Mentor engineers and help level up the engineering culture through standards and best

practices.

Qualifications

10+ years of hands-on coding experience with a track record of shipping high-quality,

scalable software systems.

Deep expertise in full-stack development, including backend architectures, distributed

systems, and cloud-native design.

Strong working knowledge of APIs, microservices, message queues, event-driven

systems, and modern frameworks. Experience integrating or operationalising AI/ML outputs (vision or inference systems) is

strongly preferred.

Comfort working with real-time data, system state monitoring, and hardwaresoftware

interaction layers.

Proven ability to break down complex problems into modular, testable, maintainable

components.

Strong project execution, architectural decision-making, and cross-functional collaboration

skills.

Bachelors or Masters degree in Computer Science, Engineering, or a related field, or

equivalent industry experience.

Experience in healthcare, diagnostics, or device-integrated systems is a plus but not

required.

Why This Role Matters

This role is for a seasoned builder who can take an idea from concept to reliable production

deployment. You will shape the engineering foundation of an intelligent system used in real clinical workflowssoftware that must perform with precision and stability in the real world.