Backend Engineer

BookMyMentor; Sector 10; On-site; INR 1,200,000 - 2,500,000; Full time

Job summary

Ripik.AI is hiring a Backend Engineer in India to build high-throughput Java microservices that ingest factory-floor data, run models, and deliver decisions in seconds. You will work with Spring Boot, multi-threaded pipelines, and REST APIs, collaborating with ML, DevOps, and frontend teams.

Production-grade code that scales to large plants is expected. The role emphasizes ownership, testing, and end-to-end feature delivery, with opportunities to work on distributed systems and cloud platforms

Qualifications

• 2-5 years of hands-on backend engineering experience.
• Technology Stack: Java, Spring Boot, Multithreading, Rest APIs, AWS.
• Strong Java fundamentals (Java 11+) and Spring ecosystem.

Responsibilities

• Design and build backend services in Java and Spring Boot that are clean, testable, and production-ready.
• Own multi-threaded and concurrent workflows for real-time data ingestion and low-latency pipelines.
• Design and ship REST APIs used by frontend, mobile, and integrations with proper versioning and error handling.
• Model and query data in relational and NoSQL stores with efficient schemas.
• Integrate with ML services and streaming systems (Kafka) to serve model outputs in real time.
• Write tests and conduct reviews to uphold engineering hygiene.

Skills

Java

Spring Boot

Multithreading

REST APIs

AWS

PostgreSQL/MySQL

Git

Data structures & algorithms

Concurrency

Distributed systems

Tools

Docker

Kubernetes

Kafka

Redis

CI/CD

Job description

Ripik.AI Verified

Mid Level (2-5 years)

Posted 7/27/2026

As a Backend Engineer at Ripik.AI, you'll build the systems that power our industrial AI products — high-throughput services that ingest real-time data from factory floors, run computer vision and process-optimisation models at scale, and deliver decisions back to plant operations in seconds.You'll work on Java-based microservices in Spring Boot, design multi-threaded pipelines to handle real-time streams, and partner with ML engineers, DevOps, and frontend teams to ship features end-to-end. This is a hands-on engineering role for someone who wants to write production Java code that runs 24/7 in some of the largest plants in the world.Design and build backend services in Java and Spring Boot — clean, testable, and production-ready code that runs at scale.Own multi-threaded and concurrent workflows for real-time data ingestion, event processing, and low-latency inference pipelines.Design and ship REST APIs used by our frontend, mobile, and integration partners with a strong sense for versioning, error handling, and documentation.Model and query data in relational (Postgres/MySQL) and NoSQL stores write efficient queries, design schemas that don't come back to haunt you.Integrate with ML services and streaming systems (Kafka / message queues) to serve model outputs to plant operators in real time.Debug production issues on live customer deployments trace the problem, ship the fix, prevent the recurrence.Contribute to system design conversations you'll have a voice in architecture decisions, not just tickets to close.Write tests and reviews unit, integration, and thoughtful code reviews for teammates. We take engineering hygiene seriously.

Requirements

• 2-5 years of hands-on backend engineering experience.
• Technology Stack : Java, Spring Boot, Multithreading, Rest APIs, AWS
• Strong Java fundamentals (Java 11+) collections, generics, streams, memory model.
• Solid experience with Spring Boot and the Spring ecosystem.
• Real understanding of multi-threading and concurrency thread pools, executors, race conditions, locks.
• Comfortable with SQL and relational databases (Postgres or MySQL preferred).
• REST API design fundamentals; Git and modern developer workflows.
• Strong data structures and algorithms base you can reason about time and space.
• Ownership mindset and a willingness to ship, learn, and iterate.
• Nice to Have
• Kafka, RabbitMQ, or other streaming/messaging systems for high-throughput event pipelines.
• Docker, Kubernetes, or hands-on cloud experience on AWS, GCP, or Azure.
• Microservices architecture you've built or maintained services in a distributed system.
• Redis, caching strategies, or performance optimization experience.
• Exposure to ML model serving, or working alongside data science and computer vision teams.
• Open-source contributions or a public body of work we can look at.

About the Company

Ripik.AI

Technology

Ripik.ai is a fast-growing industrial AI SAAS start-up founded by IIT D alumni and with extensive experiencein McKinsey, IBM, Google and others. It is backed by marquee VC funds like Accel, Venture Highway and 25+ illustrious angels including 14 unicorn founders.Ripik.ai builds patented full stack software for automation of decision making on the factory floor. Today, they are deployed at more than 15 of the largest and most prestigious enterprises in India including the market leaders in steel, aluminium, cement, pharma, paints, consumer goods and others.It is one of India’s very few AI product start-ups to be a partner to GCP, Azure and AWS. We are also the AI partner of choice for CII, ICC and NASSCOM.The world today is standing on the foundations of automation built over the last century, one of the last laps of which comprised the deployment of hundreds of cameras in order to build visibility into the process, safety, quality, personnel and equipment tracking, amongst others.It is humanly impossible to monitor 24 x 7 the hundreds of continuous video feeds. Hence, visual anomalies and early warnings go undetected. Usually every camera is installed to solve a specific purpose, but that purpose goes unaddressed.Ripik.ai 's vision AI platform continuously monitors the video feeds and provides real-time alerts so that whatever one needs to detect in any video feed is detected and the right workflow is triggered.We work with industrial enterprises globally to advance their industry 4.0 efforts and harness significant bottom-line improvement via the deployment of computer vision applications.