Skip to main content

Senior Backend Lead/Engineer for Video Surveillance

Argu AITel Aviv District, IsraelNot specifiedFull-timeSeniority: Not specified

Posted 20 days ago · 0 applicants

Salary not listed for this role

Saving, applying or scoring takes a few seconds to set up your free account.

Willbi insight

The role in plain words

Must-have
  • 9+ years of software engineering & backend development experience
  • Deep expertise in Python
  • Strong experience designing distributed systems
  • Experience with video pipelines: RTSP, FFmpeg, live video processing
  • Background in real-time, high-throughput systems
Nice-to-have
  • Strong Experience in C++
  • Experience with computer vision platforms
  • Experience with AI/ML infrastructure
  • Experience with Kubernetes and container orchestration
  • Experience with streaming technologies such as ZMQ, RabbitMQ, or similar systems

Extracted from the job description · kept up to date automatically

Who this suits

Full job description

Original listing · kept for reference

Location: Caesarea

Experience: 9+ years

Why Argu Exists The way we interact with live feed video is broken. Most videos in the world are never understood. Every day, billions of cameras capture trillions of hours of footage, yet organizations still rely on humans to find what matters.

We are building an AI Operating System for Video - a platform that can watch, understand, investigate, and act on video at scale, using Vision Agents. Today, we work with enterprise customers, governments, and critical infrastructure organizations. Tomorrow, we aim to define how the world interacts with visual information.

We're backed by top-tier investors, including Andreessen Horowitz (a16z), supported by government investors, have paying customers, proven market demand, and a world-class team. Now, we're looking for the backend engineering leader who will help us build the next chapter.

The Role You will:

• Own the Architecture, design and implementation of the backend pipeline that processes large amounts of near real-time video streams at high scale.

• Implement features, new abilities, and serve as the technical authority for backend architecture, platform design, and system scalability.

• Work directly with customers, Product and company management to understand requirements and deliver solutions that meet real-world constraints.

• You will help shaping the product and roadmap to take it to the next level

What You’ll Do • Design and develop new product capabilities from idea/requirement to production.

• Design and build scalable backend systems for real-time video analytics.

• Build and maintain near real time video processing pixel pipelines.

• Productionize AI models and integrate them into customer-facing workflows.

• Design infrastructure supporting computer vision, LLM, and VLM workloads.

• Work closely with Research and Algo team to optimize the pipeline and models on GPU, CPU and RAM usage

• Manage and optimize cloud and on-prem deployments, ensuring reliability and performance.

• Write clean, maintainable, and modular Python code

• Conduct code reviews and mentor engineers as the team grows.

• Collaborate closely with research, DevOps, and product teams to bring new capabilities to market.

• Work directly with customers to understand requirements, define solutions, and drive successful deployments.

Required Skills ●    9+ years of software engineering & backend development experience.

●    Deep expertise in Python.

●    Strong experience designing distributed systems.

●    Experience with video pipelines: RTSP, FFmpeg, live video processing.

●    Background in real-time, high-throughput systems.

●    Strong understanding of databases, event-driven architectures, and APIs.

●    Experience with cloud services (GCP & AWS).

●    Ability to design scalable, reliable systems for both cloud and on-prem deployments.

●    Mentorship for team members and new hires including code reviews

Strong Advantages ●    Strong Experience in C++

●    Experience with computer vision platforms.

●    Experience with AI/ML infrastructure.

●    Experience with Kubernetes and container orchestration.

●    Experience with streaming technologies such as ZMQ, RabbitMQ, or similar systems.

●    Experience in physical security, surveillance, industrial operations, or IoT environments.

●    Previous startup experience.

Who You Are ●    Hands-on engineer who can lead architecture and code at the same time.

●    Comfortable working with customers.

●    Takes ownership of problems end-to-end.

●    Mentor and team player who quietly raises standards for engineering quality.

●    The type of person we can have a beer with after work.

About Argu AI
Company profile · coming soon

Employee reviews · coming soonMore roles at Argu AI

Questions about this role

  • This listing did not state a salary. We only show pay when the employer publishes it.
Argu AI
Posted 20 days ago · 0 applicants
See how you match