Software Engineer (AI Solutions)
VOLKSWAGEN FINANCIAL SERVICES POLSKA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
⚲ Warszawa, Śródmieście
Do uzgodnienia
Wymagania
- AWS
- Azure
- GCP
- Python
Opis stanowiska
Nasze wymagania:
1–2 years of experience with cloud platforms (AWS/Azure),
Strong Python skills (backend or data applications),
Basic knowledge of Docker, CI/CD, and Git,
Understanding of testing practices and secure development,
Strong problem-solving skills and ability to learn quickly,
Good English and Polish communication skills and team mindset,
Degree in Computer Science or related field.
O projekcie:
We are a 40-person AI Engineering team turning business ideas into scalable data and AI products. Our mission is to build advanced analytics, machine learning, and AI as core capabilities, delivering value across global markets. We work in an international, agile, interdisciplinary squads using cutting-edge cloud technologies to create real business impact.
Zakres obowiązków:
Build and operate cloud-based AI solutions (AWS, Azure, or GCP),
Develop backend services and data pipelines in Python,
Work with Docker, CI/CD pipelines, and Infrastructure as Code (Terraform, CDK, etc.),
Support scalable, production-ready AI systems and monitor their performance,
Contribute to code quality through testing, reviews, and best practices,
Apply security standards and data protection principles (e.g., GDPR)
Oferujemy:
Employment contract
Hybrid work model (3 days a week from the office) and a very good office location (Rondo ONZ 1)
Medical package (full specialist package with dentistry)
Health Academy
Multicafeteria - everyone will find something for themselves ☺
Lunch card
Life insurance
Employee Pension Program
Company products and services at a special price
Interesting trainings
Study funding
Online language classes (English/German)
1–2 years of experience with cloud platforms (AWS/Azure),
Strong Python skills (backend or data applications),
Basic knowledge of Docker, CI/CD, and Git,
Understanding of testing practices and secure development,
Strong problem-solving skills and ability to learn quickly,
Good English and Polish communication skills and team mindset,
Degree in Computer Science or related field.
O projekcie:
We are a 40-person AI Engineering team turning business ideas into scalable data and AI products. Our mission is to build advanced analytics, machine learning, and AI as core capabilities, delivering value across global markets. We work in an international, agile, interdisciplinary squads using cutting-edge cloud technologies to create real business impact.
Zakres obowiązków:
Build and operate cloud-based AI solutions (AWS, Azure, or GCP),
Develop backend services and data pipelines in Python,
Work with Docker, CI/CD pipelines, and Infrastructure as Code (Terraform, CDK, etc.),
Support scalable, production-ready AI systems and monitor their performance,
Contribute to code quality through testing, reviews, and best practices,
Apply security standards and data protection principles (e.g., GDPR)
Oferujemy:
Employment contract
Hybrid work model (3 days a week from the office) and a very good office location (Rondo ONZ 1)
Medical package (full specialist package with dentistry)
Health Academy
Multicafeteria - everyone will find something for themselves ☺
Lunch card
Life insurance
Employee Pension Program
Company products and services at a special price
Interesting trainings
Study funding
Online language classes (English/German)
🔍 Dekoder Ogłoszenia
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1–2 years of experience with cloud platforms (AWS/Azure)
Może oznaczać zarówno 1 rok doświadczenia, jak i 2 lata, a nawet mniej, jeśli kandydat jest bardzo obiecujący.
🔴
Strong Python skills (backend or data applications)
Może oznaczać, że potrzebują kogoś, kto potrafi pisać skrypty w Pythonie, a niekoniecznie budować złożone aplikacje backendowe.
🔴
Basic knowledge of Docker, CI/CD, and Git
Może oznaczać, że będziesz musiał się tego nauczyć od podstaw, a nie tylko posiadać podstawową wiedzę.
🔴
Strong problem-solving skills and ability to learn quickly
Często używane, gdy brakuje konkretnych wymagań technicznych lub gdy oczekuje się od pracownika samodzielnego rozwiązywania problemów bez wsparcia.
🔴
turning business ideas into scalable data and AI products
Może oznaczać, że będziesz pracować nad prototypami lub wczesnymi wersjami produktów, a nie nad dojrzałymi, w pełni zoptymalizowanymi rozwiązaniami.