About The Position
As a Back-End/Cloud Engineer at the platform team @ Iguazio, you will join a strong team of tech savvy and fast delivering engineers, responsible for the orchestration of the Iguazio Data Science PaaS as well as various closed and open-source projects in the MLOps domain.
What You’ll Do
- Join a young codebase written in Python and Go
- Co-own and contribute to Iguazio open-source projects
- Lead features from inception and analysis, to design, implementation, testing, and maintenance
- Participate in product-changing architectural choices, exercise ownership on various components/tools, and keep learning new skill sets
- Deep dive into the K8s Eco-system and the cutting-edge systems and technologies in this area
- Learn about multi-cloud technologies and gain experience working with diverse infrastructure types, from hybrid-cloud and multi-cloud, to BM deployments
Essential Skills
- Possess an undeniable passion for building clean, beautifully architected software
- Have very strong ability to dive into the unknown (code/theory) independently across the entire stack
- Love cloud-native architecture
- Are looking to change and lead the growing market of ML and MLOps
Does This Describe You?
- BSc in CS or related subject / graduate of IDF technological course / equivalent experience and knowledge
- 6+ years of backend development experience
- Experience in backend design and architecture
- Experience developing from scratch
- Experience in distributed systems and parallel programming
- Some experience with Python and Go (strong control of python/go — an advantage)
- K8s management and eco system experience - an advantage
- Experience in managing and automating cloud infrastructure — an advantage
About the Company
Data science is too important to today’s enterprise to be held back by delays and inefficiencies.
We’re building a faster, easier, and smarter way for data science to flow seamlessly from raw idea to real-world impact. This is data science brought to life.
Iguazio provides an MLOps (machine learning operations) platform which automates and accelerates the data science process, enabling the rollout of new AI services continuously across the enterprise. The company raised $72M from top financial and strategic VCs, is led by a team of serial entrepreneurs, and serves a diverse set of customers worldwide, ranging from technology companies such as NetApp, financial service companies like Payoneer and healthcare customers like the Sheba Medical Center.
We’re looking for top talent to help us continue our growth — and grow with us!
