GSC: Lead Software Engineer (AI)
Summary
Lead a team building enterprise-scale AI-powered data management apps in Python/React on GCP, defining architecture and driving ML-driven risk controls for regulatory compliance.
- Lead the design, architecture, and development of enterprise-scale full-stack applications using Python (backend) and React JS (frontend).
- Define technical strategy and roadmap for AI-powered data management solutions on GCP.
- Drive implementation of AI/ML capabilities to enhance data controls, quality checks, and risk detection in production environments.
- Establish architectural standards, design patterns, and best practices for cloud-native applications on GCP.
- Lead, mentor, and grow a team of full-stack engineers and AI specialists, fostering a high-performance culture focused on delivery excellence.
- Own end-to-end technical delivery of complex, multi-workstream projects supporting regulatory compliance (BCBS 239, IRR, etc.).
- Develop comprehensive project plans with clear milestones and drive execution with urgency while maintaining quality and security standards.
- Partner with Risk, Compliance, Data Governance, and Business teams to translate requirements into scalable technical solution.
- 10+ years of relevant technical experience in enterprise software development with at least 4+ years in leadership roles, proven track for writing good quality code and automating test cases.
- Expert-level proficiency in Python for backend development (Flask, FastAPI, Django) and strong expertise in React JS with modern JavaScript/TypeScript for frontend.
- Proven experience architecting and 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.
- Deep understanding of microservices architecture, RESTful APIs, event-driven systems, and experience with both SQL and NoSQL databases.
- Demonstrated experience leading technical teams (5-15 members) with proven track record of delivering large-scale projects on time and with high quality.
- Strong understanding of software design principles, design patterns, enterprise architecture, and cloud-native application best practices.
- Experience with agile methodologies, DevOps practices, CI/CD implementations (Docker, Kubernetes), and infrastructure as code.
- Additional bonuses for recognition awards
- Multisport card
- Private medical care
- Life insurance
- One-time reimbursement of home office set-up (up to 800 PLN)
- Cafeteria platform
- Employee assistance program
- Additional contributions to PPK scheme
- Corporate parties & events
- CSR initiatives
- Nursery discounts
- Financial support with trainings and education
- Social fund
- Flexible working hours
- Free parking
- Online behavioural test (for external candidates only).
- Telephone screen (for external candidates only).
- Zoom interview with the hiring manager.