Role Overview

InMobi Advertising is a global technology leader helping marketers win the moments that matter. As part of the 1Weather backend engineering team, you will work on one of the world’s leading weather platforms, powering real-time forecasts and personalized weather experiences for millions of users globally. This role offers the opportunity to build and scale high throughput backend systems, real-time weather data pipelines, distributed caching & event-driven systems, low latency APIs, and highly reliable cloud-native services.

Responsibilities

Design and build highly scalable backend services and distributed systems.
Own critical microservices end-to-end including architecture, development, deployment, monitoring, and operational excellence.
Solve high complexity engineering problems around scale, performance, reliability, and fault tolerance.
Write clean, maintainable, production-grade Java code daily.
Build low latency APIs and event-driven systems processing large-scale real-time data.
Drive system design, low-level design (LLD), debugging, observability, and infrastructure optimization.
Participate in on-call rotations and production incident handling.
Mentor junior engineers and contribute to engineering best practices.

Requirements

B.E./B.Tech in Computer Science or equivalent practical experience.
8+ years of experience building backend systems in production environments.
Excellent Java programming skills with strong understanding of:
- Multithreading & concurrency
- JVM internals & performance optimization
- Memory management & garbage collection
Strong expertise in:
- Spring Boot
- REST APIs & Microservices
- Distributed Systems
- Event-driven architectures
Strong hands-on experience with:
- MySQL/PostgreSQL
- Redis or distributed caching systems
- Kafka/RabbitMQ/PubSub or similar messaging systems
Experience with:
- AWS/GCP
- Docker & Kubernetes
- CI/CD pipelines
- Monitoring & observability tools
Strong computer science fundamentals and problem-solving skills.
Must be a self-starter who can work well with minimal guidance in a fast-paced environment.