Job Description

About Dhundhoo

Dhundhoo is revolutionizing enterprise fleet management with AI-driven innovation. As an intelligent data analytics platform, we connect assets, people, and work on a single unified platform to optimize costs and improve safety & efficiency. Selected by NASSCOM 10000 Startups as one of India's best tech companies, we're transforming fleet management across 200+ schools in 30+ cities across India and the UAE.

Our cutting-edge platform combines

GPS tracking, Video Analytics, AI-powered Collision Detection, and Predictive Maintenance

--delivering 30-40% cost savings and 15% fuel efficiency for our clients. We're building the future of fleet management where transparency, security, and intelligent automation come together.

What Makes Dhundhoo Different

AI-First Innovation

: Route-based ETA predictions, AI-powered driver behavior analytics, and real-time video intelligence--industry-first features that set us apart?

End-to-End Solution

: Complete security suite integrating GPS, video analytics, and collision detection on a unified platform with cross-platform mobile and web applications

Rapid Impact

: Our clients achieve 15% fuel savings and rapid ROI through intelligent automation and predictive insights

Technical Excellence

: Microservices architecture on cloud infrastructure (AWS/GCP), enabling seamless scalability and third-party integrations

The Role

We're seeking a

Senior Backend Engineer

with 3+ years of Java development experience to architect and build the intelligent backend systems that power our AI-driven fleet management platform. You'll work on high-scale, real-time data processing systems handling GPS telemetry, video analytics streams, and predictive algorithms that serve thousands of vehicles and users daily.?

This is a hands-on technical role where you'll design scalable microservices, optimize database architectures for time-series and geospatial data, and integrate cutting-edge AI/ML capabilities into production systems.

What You'll Do

Architect & Build Scalable Systems

Design and develop robust microservices using

Java 11+, Spring Boot

, and RESTful APIs to handle real-time fleet data at scale? Build and optimize database solutions using

PostgreSQL, TimescaleDB (time-series)

, and

NoSQL databases

for high-velocity IoT data streams? Develop server-side logic for GPS tracking, video analytics processing, and AI-driven insights delivery

Drive Technical Innovation

Integrate AI/ML models for driver behavior analytics, predictive maintenance, and route optimization into production backend services? Design and implement real-time data pipelines processing telemetry from thousands of fleet vehicles Build APIs for seamless integration with ERPs, third-party systems, and mobile/web applications

Ensure Quality & Performance

Implement containerization using

Docker

and orchestration with

Kubernetes

for cloud-native deployment? Establish CI/CD pipelines for automated testing and deployment across

AWS/GCP

cloud platforms? Conduct code reviews, mentor team members, and champion best practices in software craftsmanship?

Collaborate & Innovate

Work closely with frontend engineers, data scientists, and product teams to deliver seamless user experiences Participate in agile ceremonies and contribute to technical roadmap planning Troubleshoot production issues and optimize system performance across multiple environments

What We're Looking For

Required Skills & Experience

Core Technical Expertise

3+ years

of hands-on backend development experience with

Java 8/11+

and

J2EE

? Strong expertise in

Spring Boot framework

and

microservices architecture

design and implementation? Deep understanding of

RESTful API development

,

JSON

, and service-oriented architecture (SOA)? Proficiency in

SQL and NoSQL databases

--particularly

PostgreSQL

and at least one NoSQL database (MongoDB, Cassandra, or similar)? Experience with

Docker

containerization and exposure to

Kubernetes/Knative

? Working knowledge of

AWS and GCP

cloud platforms for SaaS application development?

Software Engineering Fundamentals

Strong command of

Object-Oriented Design principles

and design patterns? Experience with

version control (Git)

,

Maven/Gradle

, and build automation? Solid understanding of

database architecture

, indexing strategies, and query optimization Familiarity with

Agile/Scrum methodologies

and collaborative development workflows? Excellent debugging, problem-solving, and analytical skills?

Preferred Qualifications

Education

: Bachelor's degree in Computer Science, Engineering, or related technical field

Bonus Skills

:

Experience with

time-series databases

(TimescaleDB, InfluxDB) or geospatial data processing? Exposure to

message queues

(Kafka, RabbitMQ) and event-driven architectures? Knowledge of

video analytics, computer vision APIs

, or IoT data processing? Familiarity with

AI/ML model integration

and serving frameworks? Experience working with

fleet management, logistics, or transportation

domain systems? Understanding of security best practices and data protection measures?

Why Join Dhundhoo?

Innovation at Scale

: Work on challenging problems involving real-time data processing, AI/ML integration, and geospatial analytics at enterprise scale

Ownership & Impact

: Take end-to-end ownership of critical backend systems that directly impact thousands of daily users and drive measurable business outcomes

Growth & Learning

: Collaborate with talented engineers, contribute to architectural decisions, and stay at the forefront of emerging technologies in AI and cloud-native development?

Startup Culture

: Fast-paced, innovation-driven environment where your ideas matter and rapid prototyping is encouraged

Our Tech Stack

Backend

: Java 11+, Spring Boot, Microservices, REST APIs

Databases

: PostgreSQL, TimescaleDB, NoSQL (MongoDB)

DevOps

: Docker, Kubernetes, CI/CD pipelines

Cloud

: AWS, GCP

Tools

: Git, Maven, Jenkins/GitHub Actions

Emerging Tech

: AI/ML models, Video Analytics APIs, IoT data processing

Interview Process

Initial Screening

: Technical discussion about your experience and fit

Technical Assessment

: Coding challenge focused on system design and problem-solving

Technical Deep Dive

: Architecture discussion and pair programming session

Culture & Team Fit

: Conversation with the founding team about vision and collaboration

Offer

: Competitive compensation and comprehensive benefits

How to Apply

Ready to build the future of AI-driven fleet management? We'd love to hear from you!

Send your application to

:

hr@dhundhoo.com

Include

:

Your updated resume highlighting relevant Java/Spring Boot projects GitHub profile or code samples (if available) Brief cover note explaining why you're excited about Dhundhoo

Location

: Nagpur

Employment Type

: Full-time

Experience Level

: 3+ years

Dhundhoo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Type: Full-time

Pay: ₹300,000.00 - ₹600,000.00 per year

Work Location: In person