Tech Lead

Company Overview:

Qwak is a leading provider of a fully managed, accessible, and reliable Machine Learning (ML) Platform. Our platform empowers ML practitioners to seamlessly transform and store data, develop, train, deploy and monitor machine learning models, and closely monitor the entire machine learning pipeline. At Qwak, we're on a mission to simplify the machine learning delivery process by enabling data scientists to build, train and deploy their models in a frictionless manner.

We are a rapidly growing company at the forefront of innovative technology. We nurture collaborative and supportive team environment, and constantly push for improvement and growth opportunities.

Position Overview:

We are looking for a strong software engineering lead to join our MLOps team, in charge of building and driving forward our MLOps domain in a fast-paced startup working environment.

We deeply value creative fast learners and independent thinkers with a proactive mindset who are able to handle tasks from ideation to Production.

Responsibilities:

Take a significant part in building cross-company engineering culture, tools and methodologies.

Contribute to technological and architectural decisions with a hands-on approach.

Conduct and assist in performing high-quality design reviews.

Analyze and improve the efficiency, scalability, and stability of various system components.

Put an emphasis on testing and code design.

The tools you know are less important than who you are and your problem solving skills!

Qualifications:

Required skills:

6+ years of proven experience in software development.

Working experience in Java (or equivalent).

Experienced in designing, developing, and debugging complex, distributed systems (microservices, event-driven).

Proven hands-on experience in containerized environments, microservices and Kubernetes.

Experienced with at least one of the main cloud provider platforms (e.g. AWS, GCP)

Desired skills:

Experience with designing, structuring, and maintaining Python SDK’s.

Experienced in building Data Science / Data Engineering tools using Python.

Working experience in Go.