Company 

At Nym, we’re passionate about simplifying healthcare by automating the accurate interpretation of clinical language. 

Our interdisciplinary team has developed innovative technology that can understand clinical language and provides an entirely new way of analyzing and decoding medical records into clear, concise, and actionable information. This ultimately ensures that clinical and administrative teams can spend more time focused on patient care.

At Nym, the future is bright. Our engine currently processes over five million charts annually in more than 150 emergency department and urgent care settings across the US. We are backed by top-tier VCs and growing rapidly, with offices in NYC and Tel Aviv. 

Role and Responsibilities:

Nym is looking for a DevOps Engineer to join our growing Infra team, reporting to Omer Belkine, our Infrastructure Team Lead and CISO. The ideal candidate will be responsible for the ongoing enhancement of our sophisticated Cloud Architecture. They should demonstrate a proactive interest in exploring emerging technologies and implementing innovative solutions. Furthermore, we are looking for an individual who is committed to making an impactful contribution to Nym's R&D initiatives, leading projects from end to end throughout all levels of our technology stack.

As a DevOps Engineer, you will:

• Build, monitor and support Kubernetes based production and Analytics environments 
• Design our Cloud Architecture and implement new features integrated into Nym’s systems
• Be a dedicated ally to our R&D department, focusing on improving our SDLC processes
• Advance your career as an Infrastructure-as-Code DevOps engineer.

• Requirements
• +2 years of experience working with Cloud Native technologies with at least one of the big vendors (AWS, GCP, Azure), in a kubernetes based environment
• Strong Infrastructure-as-Code experience and mindset 
• High level of interpersonal skills to work effectively in a global organization
• Over 4 years of experience coding and Python or similar interpreted programming language