Viz

Senior DevOps Engineer

Tel Aviv, Israel
Ansible HTML Machine Learning GCP Azure Bash Terraform Python Kubernetes
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Description

 

Senior DevOps Engineer  

About Viz.ai

Viz.ai is the pioneer in the use of AI algorithms and machine learning to increase the speed of diagnosis and care, covering more than 220 million lives across 1,300+ hospitals and health systems in the U.S. and Europe. The AI-powered Viz Platform is an intelligent care coordination solution that identifies more patients with a particular disease, informs critical decisions at the point of care, and optimizes care pathways and helps improve outcomes. Backed by real-world clinical evidence, the Viz Platform delivers significant value to patients, providers, and pharmaceutical and medical device companies. For more information visit viz.ai.

 

We are growing and are looking for a Senior DevOps Engineer to join our Infrastructure team.

Job Description:

You will be responsible for establishing and maintaining the company’s DevOps culture, and developing the cloud deployment

Principal duties and essential responsibilities comprise of establishing, implementing and maintaining:

  • CI\CD practices and processes
  • IaC methodologies, design and implementation
  • Cloud strategies, architecture and best practices
  • Scalability, performance, and reliability of the systems
  • Security standards in the cloud, and in our SDLC
  • Cost control and management of cloud resources

 

 As part of the DevOps team, you will:

  • Take ownership of all DevOps-related needs
  • Deliver mission-critical, real-world systems
  • Play a key role in the company’s scale and growth
  • Work with a world-class team of developers and researchers, who have experience in taking startups from start to exit

 

You will love this job if:

  • You want to work on a life-saving product, and see your work translate to # of lives saved
  • You enjoy building relationships and working across multiple projects and technologies
  • You have an ownership mindset and a hands-on, can-do approach
  • You enjoy anticipating and addressing challenges and working in a fast-paced environment
  • You have experience delivering mission-critical, real-world systems
  • You enjoy building tools and processes to improve the velocity of the developers

 

Requirements:

  • People person, team player and strong can do mentality
  • 4+ years experience as a DevOps engineer
  • Strong experience with Amazon Web Services and/or Google Cloud Platform and/or Microsoft Azure
  • Scripting and/or development experience – Bash, Python or similar
  • Understanding of CI/CD pipelines, and experience with building pipelines that support the company’s and developers needs
  • Understanding of Infrastructure as Code, and a strong experience with automation tools like Terraform and/or Ansible
  • Experience with monitoring tools and data/log analytics tools
  • Experience with orchestration tools like Kubernetes
  • Experience with computer networking and network architectures, including VPNs
  • Strong troubleshooting, debugging and problem analysis skills
  • Understanding of cloud security concepts, and a strong experience with maintaining a secure SaaS environment
  • Excellent verbal and written communication skills in Hebrew and English
  • B.A./B.Sc. degree in Computer Science, or related technical engineering degree, or equivalent industry experience

 

Location

We are located in San Francisco and Tel Aviv. This position is based in Tel Aviv.

Our office in Tel-Aviv is located in Menachem Begin 150, within walking distance of Arlozorov and Ha'Shalom train stations.

 

Related Links:

https://www.viz.ai/media

https://www.fastcompany.com/most-innovative-companies/2019/sectors/biotech

https://www.calcalist.co.il/internet/articles/0,7340,L-3899610,00.html 

https://www.geektime.co.il/viz-ai-raises-71m-in-c-round/ 

themarker.com/technation/.premium-1.9624267

https://www.businesswire.com/news/home/20191023005322/en/Viz.ai-Raises-50-Million-Series-Bring-AI

https://www.globes.co.il/news/article.aspx?did=1001304340

https://www.themarker.com/technation/1.8019503

 

#LI-SG1  #LI-Hybrid

 Viz
Viz
Artificial Intelligence Health Care Health Diagnostics Machine Learning Medical Device

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