Backend Engineer

Ripik AI • Java • SQL • 1 month ago

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Salary

≈ $15k – $39k per year (Estimated)

Location

In office (Noida)

Seniority

Junior · 2+ years exp

Overview

Company

Impact

Profile match

Ripik AI

Ripik AI is an industrial AI and computer vision platform founded in 2021 that develops automated software solutions for heavy manufacturing environments. The company provides vision AI agents that act as real-time monitoring systems to track materials, machinery, and production processes across sectors like steel, cement, aluminum, and power. By eliminating human error and enabling continuous operational oversight, the platform helps large enterprises optimize plant efficiency, reduce process variability, and improve overall throughput.

ripik.ai • Noida • UTC+05:30 • Industrial Automation • Manufacturing • Artificial Intelligence • Est. 2021

Responsibilities:

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 review 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.

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