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Senior DevOps Engineer

Tel Aviv, Tel Aviv, Israel Job ID JR0242804 Job Category Software Engineering Work Mode Hybrid Experience Level Experienced
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Job Description


cnvrg.io is transforming AI and data science with a code-first platform helping the world’s largest companies scale their machine learning with an unparalleled end-to-end solution. From Fortune 500 companies to startups, cnvrg.io helps data scientists solve complex problems, by building intelligent machines. The platform is used across industries by leading companies in finance, gaming, BI, automotive, manufacturing, e-commerce and more. 

We are seeking an experienced and knowledgeable DevOps Engineer to join our team. As a DevOps Engineer, you will be responsible for deploying the cnvrg.io data science platform to leading companies, both in cloud and on-premise environments. If you thrive in a dynamic and successful startup environment, where you can work with the latest frameworks and technologies and contribute to shaping the world of data science, we want to talk to you.

Responsibilities:

  • Continuously improve DevOps tools, processes, and procedures.
  • Build, maintain, and scale infrastructure for Production and Staging environments.
  • Deploy, manage, and support our environments, including troubleshooting incidents.
  • Design automation frameworks, tools, and systems for continuous integration and continuous deployment, ensuring fast-paced software delivery into Staging and Production environments.
  • Collaborate closely with Development and QA teams to ensure end-to-end quality.
  • Collaborate with third-party vendors to resolve infrastructure issues.
  • Stay up-to-date with new technologies, architect and implement new solutions for infrastructure automation.
  • Bring innovative ideas and solve complex technology problems.
  • Willingness to accept technological and personal compromises while building a product based on cutting-edge technologies.


Qualifications


  • 7 years experience as a Devops engineer
  • 3 years of k8s experience including on-prem/cloud Kubernetes distributions
  • 2 years of experience of cloud infrastructure platforms such as AWS, GCP, Azure
  • 3 years of experience with CI/CD tool (Jenkins, GitHub action, argocd etc)
  • Ability to write and maintain code in languages like Bash, Ansible, Python, and Golang
  • Hands-on experience with Kubernetes native logging and monitoring stacks such as ELK/EFK, Prometheus/Grafana/kube-prometheus
  • Experience with terraform (modules, creation, maintenance etc.)
  • Experience managing production environments
  • Ability to analyze and solve complex issues spanning various topics
  • Proven ability working solo and with all company stakeholders

Inside this Business Group


Enable amazing computing experiences with Intel Software continues to shape the way people think about computing – across CPU, GPU, and FPGA architectures. Get your hands on new technology and collaborate with some of the smartest people in the business. Our developers and software engineers work in all software layers, across multiple operating systems and platforms to enable cutting-edge solutions. Ready to solve some of the most complex software challenges? Explore an impactful and innovative career in Software.


Posting Statement


All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.

Benefits


We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock, bonuses, as well as, benefit programs which include health, retirement, and vacation. Find more information about all of our Amazing Benefits here.


Working Model


This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. In certain circumstances the work model may change to accommodate business needs.
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