About Eagle Eye Networks
Eagle Eye Networks is the global leader in cloud video surveillance, delivering AI-powered video intelligence to tens of thousands of businesses across 90+ countries. Headquartered in Austin, Texas, with development teams in Austin, Bangalore, Amsterdam, and Tokyo, we're making the world safer through proactive AI-based alerts and powerful retrospective analysis tools.
The Role
Join our AI Engineering Team to build data infrastructure and APIs powering intelligent video analytics at global scale. Work on products like Vehicle Surveillance (license plate recognition), Video Search (natural language search through video), POS Integration (transaction-to-video sync), and data pipelines integrating in-house AI models and LLMs/VLMs.
What You'll Do
- Design and build scalable backend services in Go for cloud video intelligence
- Develop data pipelines integrating in-house AI models and LLMs/VLMs to process video insights
- Build RESTful APIs for Vehicle Surveillance, Video Search, POS integration
- Integrate AI/ML models for license plate recognition, object detection, and semantic video search
- Architect event-driven systems using Apache Pulsar
- Optimize PostgreSQL and Elasticsearch for transactional and analytical workloads
- Collaborate with global teams across Austin, Amsterdam, and Tokyo
- Own services end-to-end
Required Skills (3-7 Years)
- Strong Go programming with production microservices experience
- CS fundamentals: data structures, algorithms, distributed systems, concurrency
- Kubernetes and Docker experience
- PostgreSQL expertise with query optimization
- CI/CD and automated deployment pipelines
- Strong communication for distributed team collaboration
- Analytical problem-solving skills
Highly Desired
- Apache Pulsar, Kafka, or event-driven architecture
- Elasticsearch, Redis, or caching solutions
- AI/ML model integration or data pipeline development
- Prometheus, ELK, or observability tools
- Video surveillance, IoT, or computer vision background
Our Tech Stack
Languages: Go (primary), Python | Infrastructure: Kubernetes, Docker, AWS | Messaging: Apache Pulsar | Databases: PostgreSQL, Elasticsearch, Redis | Monitoring: Prometheus, Grafana, ELK
What We're Looking For
Self-starters who take ownership, think analytically, design for scale, and collaborate effectively across teams. Comfortable with ambiguity and translating complex problems into engineering solutions.
Why Join Us
- Impact: Protect schools, hospitals, and businesses globally
- AI-first: Cutting-edge video intelligence at massive scale
- Talented team: Skilled, collaborative engineers who value excellence
- Autonomy: Propose ideas and influence architecture
- Growth: Technical leadership opportunities
- Benefits: Comprehensive medical coverage, learning budget
Location: Bangalore | Experience: 3-7 years | Type: Full-timeEagle Eye Networks values diversity and welcomes applicants from all backgrounds.Ready to build AI-powered video intelligence at scale? Apply now.
