Software Engineer (AI Solutions)
VOLKSWAGEN FINANCIAL SERVICES POLSKA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
⚲ Warszawa, Śródmieście
Do uzgodnienia
Wymagania
- Python
- AWS
- Docker
- Git
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
🔴
1–2 years of experience with cloud platforms (AWS/Azure)
Może oznaczać zarówno 1 rok pełnego doświadczenia, jak i 2 lata bardzo podstawowej znajomości.
🟡
Strong Python skills (backend or data applications)
Może oznaczać, że oczekiwana jest silna znajomość Pythona, ale niekoniecznie na poziomie eksperckim, a raczej praktycznym w konkretnych zastosowaniach.
🔴
Basic knowledge of Docker, CI/CD, and Git
Może oznaczać, że nie oczekuje się zaawansowanej konfiguracji, a jedynie podstawowego rozumienia i umiejętności korzystania z tych narzędzi.
🔴
Strong problem-solving skills and ability to learn quickly
Często używane sformułowanie, które może oznaczać, że będziesz musiał samodzielnie rozwiązywać wiele problemów bez szczegółowego wsparcia.
🔴
turning business ideas into scalable data and AI products
Może sugerować, że zespół jest na wczesnym etapie rozwoju produktów i będzie wymagał dużej elastyczności oraz adaptacji do zmieniających się wymagań biznesowych.