Job description

Back-End Engineer (ETL + Deep Learning Infrastructure)

Location :
Ukraine (Remote) / Warsaw, Poland
We are ready to offer :
  • Competitive salary based on your experience level
  • Professional and career growth opportunities
  • Opportunity to work and communicate directly with the customers
  • Your health support via gym compensation and vacation policy
  • Free English classes twice a week in the office
  • Leisure activities in the office: X-box, table tennis, cinema tickets, tea time, pizza days
  • Parking zone
About the work :

We are looking for passionate, ambitious, and excellent software engineers that want to break boundaries, move mountains, and shape the future of AI.

WAND 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 theWAND AI platform.

About the project :

WAND 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 safety, quickly, and efficiently – all codeless, self-serviced

Requirements :
  • 5+ years of hands-on industry experience (Python – Must)
  • 5+ 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 ability to deep dive into details of cutting-edge technologies and deliver solutions.
  • Experience collaborating with Research teams working with PyTorch or TensorFlow – advantage
  • Experience with Python web frameworks (e.g. FastAPI, Django, Flask) and API Design – advantage
  • Experience with ML – advantage
  • Fluent English


What you’ll be doing:

  • Own, design, and developWAND 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.
Expected day-today :
  • Weekly feature review meetings – via video chat.
  • Weekly sprint planning / adjustment meetings – via video chat.
  • Daily standup meeting (Scrum style) via video chat / text chat.
  • We prefer working in weekly sprints, deploying every two weeks.
our office life


  •  Beautiful and 
comfortable offices Beautiful and
    comfortable offices
  • Convenient work 
schedule Convenient work
    schedule “Good morning”
  •  Opportunity to manage 
your work time independently Opportunity to manage
    your work time independently
  •  English speaking club, tea day, 
pizza day and many other events in office English speaking club, tea day,
    pizza day and many other events in office
  • Interesting projects 
and opportunity for career growth Interesting projects
    and opportunity for career growth
keep in touch
Herzliya Pituach, Israel
Kharkiv, Ukraine
Kyiv, Ukraine
Warsawa , Poland

    contact us