All offersWarszawaTestingQA Engineer
QA Engineer
Testing
Hypatos.ai

QA Engineer

Hypatos.ai
Warszawa
Type of work
Undetermined
Experience
Mid
Employment Type
B2B
Operating mode
Office

Tech stack

    English
    advanced
    Python
    regular
    Linux
    regular
    UI/front-end testing
    regular
    Critical thinking
    regular
    Bias for Action
    regular
    application analytics
    junior
    Accounting/Finance
    nice to have
    UX/UI
    nice to have

Job description

Join Hypatos.ai Warsaw team! Hypatos automates the finance department with deep learning technology. Invoice data extraction, accounting & controlling, work-flows, payments, and reports.

We use machine learning to help SMEs and enterprises reclaim lost time on ineffective finance processes!

Your profile

  • Ability to see the product through eyes of clients, business, and the developers.
  • A tester with a bias for action.
  • Interest in application analytics.
  • Fluent in python and Linux.
  • Excellent English.
  • Experience: 2+ years.
  • Accounting or finance background is a big plus.
  • Experience with UI/front-end testing.

Your Work

Build with us an API platform and simple to use a self-service ML-based tool (both onCloud and onPrem).

  • Build a simple to use a self-service Machine-Learning tool (Hypatos Studio) for power business users.
  • Further develop our SaaS (SMACC.io) solution for Accounts payables.
  • Work a Machine-Learning-based API platform for recognizing and understanding documents.
  • Automatic tests.
  • Propose features to make our software easier to test.
  • Exploratory tests.
  • Weekly scrums; small teams ~ spotify squads; devops culture.

Offer

  • 7000 - 10000 PLN B2B Netto and company shares options.
  • 26 days for you.
  • Lunch refund.
  • Tools: Macbook Pro.
  • Care about your development: weekly one-on-one with your lead.
  • We expect more (R) - a meetup or conference talk? We will support you.
  • Work in a top co-working space in the Warsaw center - BusinessLink Astoria.

Our Tech stack

  • Continuous Deployment for every component.
  • Acceptance tests in Python with mamba and behave.
  • Architecture style: micro-services.
  • Machine Learning: PyTorch/Tensorflow.
  • Backed: 90% Go; Front-end: JS and usual suspects.
  • Platform: CloudNative, Kubernetes@Azure and Kubernetes@AWS, monitoring with Prometheus.

How to apply