Senior Backend Developer

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:

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, ₹600,000.00 per year

Work Location: In person