Systems Engineer

Airis Labs is building a platform that creates intelligence out of videos. We are using state-of-the-art AI technologies to achieve results that are exceptional in our domain. 

Airis Labs was founded by experienced startup operators, and backed by world class investors.

We are hiring a 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 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.

Qualifications

• 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 - we only accept periods in which your code was reviewed/shared with other people and involved more than “copy paste” from somebody else in your organization.
• 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)
• Previous Start-up experience
• You are willing to travel
• 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

Please send your CV to: [email protected]