About Qwak 🐥

An end-to-end production ML platform designed to reduce the friction between the ML research and the production phases. Qwak allows data scientists and data engineers to build, deploy, monitor, and consume their models in production with minimal engineering friction.

Qwak platform includes CI/CD for ML models, version management, hosting, monitoring, model analytics, and a feature store. Our main focus is to enable companies to create ML-based development without spending endless resources on infrastructure and wiring.

Important fact: if you are into rubber ducks, you must know that we have really cool and fancy ones all over the place

To be a DevOps Engineer at Qwak, you need:

• A DevOps with 5+ years experience
• Experienced in managing production systems at scale.
• Experienced with AWS, Kafka, Spark, Elastic, and other tools
• Bonus points if you’ve maintained machine learning models in production environments. The tools you know are less important than your problem-solving skills. We deeply value fast learners and independent thinkers with a proactive mindset.

As a DevOps engineer at Qwak, you will:

• Build large-scale cloud-based Kubernetes clusters.
• Design and implement complex multi-tenant solutions.
• Take a crucial role in building the company’s engineering culture, tools, and methodologies such as CI/CD, tools and frameworks, development methodologies, and more.
• Define abstractions, methodologies, and coding standards for the entire Data Engineering pipeline.

We’re a growing company & as such we have a need for good people. As mentioned in a previous section, don’t worry if you’re less familiar with the whole DevOps ecosystem, we have strong Leads that will help you grow in the right direction.