Experience
8 - 10 yrs
Job Location
Hyderabad, India
Vacancy
1
Designation
Full Stack Engineer
Job Type
ONSITE
Job Description
Why You ll Love Working Here:
You ll work on cutting-edge technologies that blend IoT, AI, and SaaS innovation to solve real-world logistics and asset management challenges. Collaborating with talented architects, engineers, and product teams, you ll help shape the architecture and functionality of ORBCOMM s digital services. Your work will have direct impact across industries transforming the way our customers connect, track, and manage assets around the globe.
With a flexible hybrid work schedule, you can enjoy the best of both worlds collaborating onsite at our Hyderabad office while also benefiting from the flexibility of remote work.
Why You ll Love Working Here
You ll work at the intersection of IoT, real-time streaming, cloud-native platforms, and applied AI, building systems that directly impact global logistics and supply chain operations. You ll collaborate with talented engineers and architects while shaping ORBCOMM s digital marketplace, AI agents, and control-plane experiences.
What You ll Do
End-to-End Full Stack Development
- Design, build, and maintain scalable back-end services using Python (FastAPI) for inference and decision services.
- Develop modern React-based dashboards and control-plane applications for monitoring, configuration, and operational workflows.
IoT, Streaming & Real-Time Processing
- Build pipelines for device telemetry ingestion through IoT hubs and streaming platforms.
- Design real-time streaming and ordered event processing using Kafka and cloud-native streaming services.
Data Platforms & Lakehouse Engineering
- Design and implement Delta Lake and Microsoft Fabric lakehouse pipelines to support analytics, AI, and operational workloads.
- Build and maintain feature tables to support machine learning models and agent-based reasoning.
AI, ML & Autonomous Agents
- Integrate AI/ML models into digital services using FastAPI-based inference endpoints.
- Develop autonomous agent workflows using LangGraph and NVIDIA AgentIQ to enable intelligent decision-making and orchestration.
Graph & Intelligence Systems
- Design and work with market graph intelligence using Neo4j or Gremlin, modeling relationships between assets, customers, routes, services, and events.
Cloud-Native & DevOps
- Deploy applications and data services on AWS, Azure, or GCP using Docker and Kubernetes.
Who You Are
You are a technically strong and security-minded Full Stack Engineer with a passion for data-intensive systems, real-time platforms, and AI-driven services, and you bring:
- Bachelor s degree in Computer Science, Software Engineering, or a related field.
- Strong experience building cloud-native, production-grade systems.
Core Skills & Experience
- Back-End: Python (FastAPI), microservices architecture.
- Front-End: React.js (required) for dashboards and control-plane applications.
- IoT & Streaming: Device telemetry ingestion, IoT hubs, Kafka, real-time streaming and ordering.
- Data Platforms: Delta Lake, Microsoft Fabric lakehouse, feature tables for ML.
- AI & Agents: ML model integration, LangGraph, NVIDIA AgentIQ, AI-enabled services.
- Graphs: Neo4j or Gremlin for market and relationship intelligence.
- APIs: REST, gRPC, inference and decision APIs.
- Cloud & DevOps: AWS/Azure/GCP, Docker, Kubernetes, CI/CD pipelines.
No Referrers Available
There are currently no referrers available for this job. You can still apply, will let you know once there is any referrer available.