Salary
≈ $10k – $29k per year (Estimated)
Location
In office (Gurgaon)
Seniority
Senior · 9+ years exp
First seen by Alion on Oct 25, 2026.
Overview
Company
Impact
Profile match
GreyOrange is a global technology enterprise specializing in AI-driven warehouse automation and fulfillment orchestration solutions. The company focuses on integrating autonomous mobile robots with its proprietary software platform to optimize order picking, inventory management, and supply chain workflows for retail and distribution operations. Headquartered in Roswell, Georgia, it serves enterprise clients worldwide to streamline logistics and accelerate order fulfillment.
Backed by Inventus Capital Partners
We are looking for a senior staff backend engineer to lead the design and development of scalable backend systems powering next-gen robotics and automation platforms. You will work closely with robotics, AI, and hardware teams to build highly reliable, real-time, and distributed systems.
Responsibilities:
- Architect and build high-performance backend systems for robotics control, telemetry, and automation workflows.
- Design scalable microservices and distributed systems handling real-time data streams.
- Collaborate with robotics, firmware, and AI/ML teams for seamless system integration.
- Develop APIs and backend services for robot fleet management, monitoring, and orchestration.
- Ensure low latency, high availability, and fault-tolerant systems.
- Drive technical strategy and system design reviews, and mentor senior engineers.
- Optimise data pipelines and backend performance for real-time decision-making.
- Implement best practices in DevOps, CI/CD, and cloud infrastructure.
Requirements:
- 10-15 years of backend engineering experience in product-based companies.
- Strong expertise in Java / Golang / Python.
- Deep understanding of distributed systems, microservices architecture, and event-driven systems.
- Experience with real-time data processing (Kafka, RabbitMQ, etc. )
- Strong knowledge of cloud platforms (AWS / GCP / Azure).
- Experience with containerisation (Docker, Kubernetes).
- Familiarity with IoT, robotics systems, or industrial automation platforms is highly preferred.
- Strong system design, scalability, and performance optimisation skills.
Skills
AWS, Azure, GCP, Go, Golang, Java, Python, backend
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