Overview
About Us
At Botsync, we build intelligent automation solutions for real-world industrial environments. Our syncOS Fleet Manager coordinates autonomous mobile robots (AMRs) and automated guided vehicles (AGVs) to enable safe, efficient, and scalable material movement across manufacturing and warehouse operations.
The platform is responsible for designing and configuring robot workflows, including end-to-end setup of AMRs and AGVs, intelligent task allocation to assign the right robot to the right job, and traffic management to ensure smooth navigation while preventing collisions and deadlocks in shared environments.
We work closely with customer operations and engineering teams to deploy, monitor, and continuously optimize robot fleets in dynamic, production-grade settings where uptime and reliability are critical. As a fast-growing startup, we operate with strong ownership—taking end-to-end responsibility for fleet performance, safety, and customer outcomes.
Do check this out: https://www.youtube.com/watch?v=-u-kGzVdCL8
Position Overview:
As a Software Backend Engineer, you will build and scale backend services that coordinate AMRs and AGVs across customer sites and geographies. You will work on core backend systems powering workflow orchestration, task allocation, and traffic management, ensuring high performance, stability, and reliability in real-world, production environments. This role involves end-to-end ownership of backend components, from design and development to deployment and optimization.
We are looking for an analytical, hands-on backend engineer to join our Bangalore team, with strong problem-solving skills and solid experience in Python and Python Frameworks, who thrives in a fast-growing startup environment.
Key Responsibilities:
- Design, develop, and maintain scalable backend services, supporting coordination of AMRs and AGVs across production environments using Python (Django / Flask) and/or Golang.
- Build backend systems that power workflow orchestration, task allocation, and traffic management, with a strong focus on real-time decision-making, performance, and reliability.
- Apply strong knowledge of data structures, algorithms, and system design to deliver efficient, high-performance, and maintainable solutions.
- Design and implement REST APIs and WebSocket-based services using Django/Flask, enabling real-time communication between robots, fleet services, and user interfaces.
- Work with message brokers and streaming platforms such as Redis Pub/Sub, Kafka, or RabbitMQ to support asynchronous event processing and inter-service communication.
- Design and maintain microservices-based architectures, ensuring loose coupling, scalability, fault tolerance, and high availability.
- Develop, manage, and optimize SQL and NoSQL databases, including complex queries, indexing, and safe schema migrations.
- Deploy, manage, and monitor backend services using Docker and Kubernetes, ensuring smooth releases and production stability.
- Collaborate closely with robotics, frontend, and operations teams to translate real-world fleet requirements into reliable backend solutions.
- Debug and resolve issues in distributed, real-time systems, contributing to continuous improvements in uptime and system resilience.
- Follow best practices in OOP, clean architecture, and code reusability, actively participating in code reviews and technical discussions.
- Working knowledge in Linux-based environments, including application configuration, scripting (Bash), performance tuning, and server-side troubleshooting.
- Create and maintain technical documentation, architecture diagrams, and data flow designs.
Requirements:
- Strong experience working on backend systems using Python (primary) and/or Golang.
- Solid understanding of data structures, algorithms, and core design principles to build efficient and scalable solutions.
- Hands-on experience with Django and/or Flask for building backend services and APIs.
- Working knowledge of Django ORM, middleware, and backend service patterns.
- Experience integrating Redis with Django-based applications is a plus.
- Excellent understanding of RESTful APIs and WebSockets for real-time communication.
- Strong proficiency in SQL databases (schema design, complex queries, indexing, migrations).
- Working knowledge of NoSQL databases and their use cases.
- Good grasp of Object-Oriented Programming (OOP) and clean architecture principles.
- Experience working with message brokers and queues such as Redis Pub/Sub, Kafka, or RabbitMQ.
- Experience deploying and managing applications using Docker.
- Familiarity in Linux-based environments and on production servers.
- Familiarity with Bash scripting for automation, debugging, and operational tasks.
- Ability to read, create, and reason about architecture diagrams and system workflows.
- Working knowledge of Kubernetes (K8s) for container orchestration and service scalability.
- Understanding of CI/CD and production deployment best practices is a plus.
Benefits:
- Competitive salary
- Global team exposure
- Comprehensive health benefits package
- Hustle of a young startup – always something to do and something to improve
- Opportunities for professional development and growth into leadership roles
- Collaborative and inclusive work environment