Who You'll Work With
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You will be based in our office in Herzliya, to join our all-star Dev Support team and play a critical role in our mission to provide the best possible technical support for Iguazio Data Science Platform.
The Dev Support Team’s responsibility is to investigate and solve intrinsic problems, find smart and elegant workarounds (written in Python and Bash), build, and characterize support tools and utilities.
Iguazio provides a Data Science Platform to automate machine learning pipelines. It accelerates the development, deployment and management of AI applications at scale, enabling data scientists to focus on delivering better, more accurate and more powerful solutions instead of spending their time on infrastructure. The platform is open and deployable anywhere - multi-cloud, on prem or edge. Iguazio powers real-time data science applications for financial services, healthcare, media and entertainment, retail, manufacturing, smart mobility and telecoms.
What You'll Do
As a DevOps engineer at Iguazio, you will be playing a critical role in our mission. Working at the heart and center of the team’s technology, collaborating with development, delivery, QA and support teams.
You will be part of the product release planning, conduct project management, overseeing streamlining operation pipelines, automating builds, deployments, monitoring services and resource management.
Additionally, you will be developing and integrating automation tools, designing new solutions, troubleshooting and supporting deliveries.
Qualifications
- BSc/ BA computer science or equivalent
- 4+ years of experience in a similar role
- Extensive knowledge of Linux servers environments
- Coding experience with Python
- Proven leadership experience in the DevOps arena
- Good understanding and knowledge of automation/configuration management systems
- Knowledge and experience with Continuous Integration/ Deployment best practices and servers
- Working with version control systems (Git)
- Experience with Artifacts management (Artifactory)
- Experience with Docker and Orchestration systems (Kubernetes)
- Experience with cloud providers (AWS, Azure or GCP)
- Familiarity with Big Data technologies and implementations
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