Position: Back-End Engineer (ETL + Deep Learning Infrastructure)
Company: SD Solutions
Category: Python
Experience required: 5y
English level: upper
Published: 2022-04-01T00:00:00+03:00

SD Solutions is a staffing company operating globally. Contact us to get more details about the benefits we offer.

Wayto AI engineers are Kubernetes experts, develop cutting-edge technologies, and strive to get the best user experience and efficiency for our customers.

In this role you will take a main part in defining and developing the Wayto AI platform.

**Responsibilities:**

- Own, design, and develop Wayto AI platform.
- Be responsible for the end-to-end feature lifecycle: starting from design and architecture, through implementing, testing, and releasing the feature.
- Collaborate with engineers, researchers, and product managers to deliver our joint vision.
- Develop tools to enable other engineers such as CI/CD pipelines, container schedulers, and custom applications.
- Design and evolve software managing in-environment service discovery and configuration of microservices.

**Requirements:**

- B.Sc. in computer science or a related field.
- 2+ years of hands-on industry experience (Python - Must).
- 2+ years designing and building distributed large-scale production systems (K8s - Must).
- Experience with different types of data storage (SQL, NoSQL, search engines, big data databases, object stores).
- Experience with containerization and cluster management technologies like Docker and Kubernetes.
- Experience with open source development.
- Fast learner with an ability to deep dive into details of cutting-edge technologies and deliver solutions.

**Advantages:**

- Experience collaborating with Research teams working with PyTorch or TensorFlow.
- Experience with Python web frameworks (e.g. FastAPI, Django, Flask) and API Design.
- Experience with ML.

**About the company:

Wayto AI mission is to make business-centric AI easy to use, safe, and accessible to everyone. Our platform enables business users to build and run AI applications safely, quickly, and efficiently - all codeless, self-serviced.