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We are looking for an experienced Software & AI Engineer to join our CTO Data Tech team. In this role, you will be contributing toward full-stack software development with Python and ReactJS stack. Additionally, you will be exposed to Cloud Engineering within GCP and AI/ML implementation. You will be developing corporate wide applications within the area of Data Management technologies.
Job Responsibility
Contribute toward design and development of enterprise-scale full-stack applications using Python (backend) and React JS (frontend)
Contribute toward AI-powered data management solutions on GCP
Implement AI/ML capabilities to enhance data controls, quality checks, and risk detection in production environments
Contribute toward building best practices for cloud-native applications on GCP
Take part in technical delivery of complex, multi-workstream projects supporting regulatory compliance (BCBS 239, IRR, etc.)
Work within a multi-national, global delivery team
Requirements
3+ years of relevant technical experience in enterprise software development
Write good quality code and automated Test cases
Proficiency in Python for backend development (Flask, FastAPI, Django) and experience in React JS with modern JavaScript/TypeScript for frontend
Proven experience deploying enterprise solutions on GCP including services like Cloud Run, GKE, BigQuery, Cloud Storage, Pub/Sub, and Vertex AI
Good hands-on experience implementing AI/ML solutions
Understanding of microservices architecture, RESTful APIs, event-driven systems, and experience with both SQL and NoSQL databases
Understanding of software design principles, design patterns, enterprise architecture, and cloud-native application best practices
Experience with agile methodologies and DevOps practices
What we offer
Variable pay (discretionary, based on performance)
Healthcare
Family friendly leaves
Pension and life assurance
Additional bonuses for recognition awards
Multisport card
Private medical care
Life insurance
One-time reimbursement of home office set-up (up to 800 PLN)