DevJobs

Senior Infrastructure Systems Engineer

Overview
Skills
  • Python Python ꞏ 4y
  • CI/CD CI/CD ꞏ 4y
  • Terraform Terraform ꞏ 4y
  • Data Pipelines ꞏ 4y
  • FinOps ꞏ 4y
  • IaC tools ꞏ 4y
  • Observability ꞏ 4y
  • OpenTofu ꞏ 4y
  • production architecture ꞏ 4y
  • SW deployment ꞏ 4y
  • Unix shell ꞏ 4y

Airis Labs is building the next generation video intelligence solution, combining several state of the art AI models to unlock exceptional value. Airis was founded by experienced startup

operators, and backed by world class investors.


We are hiring a Senior Infrastructure Systems Engineer for our TLV-based product team.


About The Role

We are seeking a highly skilled and passionate professional to spearhead multi-disciplinary R&D product developments. As a Senior Infrastructure Systems Engineer, you will play a pivotal role in setting up and enabling the operation of a high-performance mission-critical high-sophistication AI solution to our users.


Who are you ?


  • You have at least 4 years of hands-on Production Engineering/Site Reliability Engineering or DevOps/MLOps/ Backend engineer practice in domains such as CI/CD, observability, the systems/deploy side of data pipelines or FinOps.
  • You have experience developing and supporting industrial code in Python and Unix shell.
  • You have experience describing, analyzing and proposing solutions with respect to SW deployment/production architecture.
  • You have experience with IaC tools (such as Terraform\OpenTofu)
  • You are a people person with excellent verbal and written communication skills


Bonus Points


  • Experience with AI solutions
  • Previous experience working with customers(AKA customer facing experience)
  • You are willing to travel
  • Previous Start-up experience
  • Background in intelligence - whether as a consumer, provider or technical expert
  • You love new challenges(believe you can integrate everything)



Why Airis Labs?

Because as a team:

● We take pride in our work, and have strong internal motivation

● We help each other; we spent our defining years as parts of small teams of A-players

● We learn from each other: the team has several areas of excellence, ranging from SW

engineering and computer vision algorithms, to closing multimillion dollar deals across

the globe

● We all have families, and we keep balance

Airis Labs