Senior Backend Engineer

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 Tea m to build data infrastructure and APIs powering intelligent video analytics at global scale. Work on products like

Vehicle Surveillanc e (license plate recognition),

Video Searc h (natural language search through video),

POS Integratio n (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 i n

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.

Architec t 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 developement.

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.