Staff Software Engineer – Cloud | Netradyne | Bangalore (Onsite)

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Job Description
Join Netradyne, a cutting-edge leader in fleet safety solutions, using Computer Vision, AI, and Edge Computing to shape the future of modern transportation. As a Staff Software Engineer (Cloud), you’ll build scalable platforms and data pipelines that integrate Generative AI and LLMs into production-ready cloud ecosystems.
This is a high-impact role for experienced engineers looking to innovate at scale and work on real-world AI implementations.
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Requirements
- Architect and implement scalable cloud-native components for data ingestion, processing, and visualization
- Build and fine-tune data pipelines to support analytics, ML, and GenAI workflows
- Develop tools and infrastructure to train, validate, and deploy machine learning and GenAI models
- Integrate LLMs and intelligent agents into robust, production-ready systems
- Ensure high-availability and maintainability of cloud services
- Apply best practices in CI/CD, testing, infrastructure monitoring, and code quality
- Work cross-functionally with AI, data science, and cloud teams to enable rapid iteration and deployment
Required Skills & Experience:
- 6+ years of experience as a software engineer in cloud and backend development
- Proficiency in Java, Python, or Go
- Experience with cloud platforms: AWS, Azure, or GCP
- Strong background in RDBMS (PostgreSQL, MySQL) and NoSQL (MongoDB, Cassandra)
- Hands-on experience with Docker & Kubernetes for containerized deployments
- Familiarity with streaming data platforms like Kafka, Kinesis, or Flink (plus)
- Exposure to LLMs, Generative AI, or intelligent agent frameworks highly desirable
- Strong debugging and problem-solving skills with an eye for detail
Why Join Netradyne?
- Be part of a 4x growth company disrupting transportation safety through technology
- Work on real AI products, not just research
- Collaborate with global engineering talent and innovate at scale
- Enjoy a diverse, inclusive, and mission-driven culture
- Competitive compensation and career growth in cloud + AI convergence
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