What the role involves
At <b>Explorex</b>, we are on a mission to revolutionise the restaurant industry in India with our revolutionary Full-Stack OS. Unlike existing solutions, Explorex goes beyond the value adds of a software solution and leverages it's powerful platform to help restaurants of today evolve into data-backed tech companies and understand their business as well as their customer better with deeper insight through strong analytical and actionable data points.
We are looking for a passionate person to make our system more <b>consistent, reliable and scalable</b> across all our tech verticals and taking ownership of this mission and helping Explorex empower the restaurant industry with it's powerful OS.
Our Stack : <b>Java Spring Framework, Postgresql, MongoDB, AWS, Angular</b>
Key Roles would be -
Development in Java having observability and scalability in mind.
Take active parts in design reviews
Actively take part in Devops whenever required
Setup Code review, Deployment cycle process
Setup data ingestion process with data warehouse and data lakes
Most important of all - be<b> hands on with the code and setting the right foundation for the team</b>.
What they ask for
About Explorex
Explorex is building the operating system for dining — powering both restaurants and the end consumer experience through a tightly integrated ecosystem. While most companies in the space focus on software for restaurants or discovery for diners, Explorex connects both sides of the equation. Our platform combines a full-stack restaurant OS (Bridge) with a consumer layer (Elite), enabling seamless, real-time dining experiences — from discovering a place, to ordering, to paying, all without friction. At the core of this is Elite — our consumer app that is redefining how people dine out. Diners can see live table availability, access dynamic menus, place orders, and self-checkout instantly without waiting for staff. This removes the biggest friction in dining — interruptions — and turns going out into a smooth, uninterrupted experience. What makes Explorex fundamentally different is the data layer. Unlike delivery platforms that only see orders, we capture real-world, in-venue behavior — what people order, how long they stay, how groups behave, how menus perform, and how experiences impact spending. We are now building Elara, an AI-powered dining concierge that uses this data to guide users to the best possible experience in real time — factoring in intent, context, weather, vibe, availability, and historical behavior. This allows us to move beyond discovery into decision-making, becoming the intelligence layer for offline commerce. For restaurants, this translates into higher revenue through better table utilization, increased average order value, and direct access to high-intent consumers. For diners, it means a faster, more personalized, and significantly better dining experience. Explorex is not a SaaS tool — it is the infrastructure layer for offline dining, with AI and consumer experience at its core.
Full Explorex profile