Python Back End Engineer

Nasze wymagania: 6+ years of professional backend engineering experience; MLOps or AI platform experience is a strong plus. Expert-level Python; ideally FastAPI, Pydantic, SQLAlchemy (or equivalent frameworks). Strong engineering fundamentals: testing strategies, REST API versioning, documentation, code quality, and pragmatic system design. Production experience with Docker and Kubernetes. Familiarity with CI/CD concepts and pipelines (GitHub Actions, ArgoCD or similar). Familiarity with Azure cloud platforms and services, particularly AKS, ACR, Key Vault, Azure Monitor/Application Insights, and Azure API Management. Strong experience with PostgreSQL including schema design, migrations, and performance tuning fundamentals. Familiarity with distributed systems and event-driven architectures using Kafka. Strong troubleshooting skills and an operational mindset. Hands-on proficiency with Claude Code as an active coding assistant for development, debugging, code review, and documentation tasks. O projekcie: As a Senior Python Backend Engineer within Advanced Analytics Team, you will join the central AI team to build reusable AI foundations and production-grade AI services on a global scale. You will work in a cross-functional environment with ML Engineers, Platform Engineers, AI Architects, and DevOps, taking end-to-end ownership from design through reliable operations. Zakres obowiązków: Design, build, and maintain backend services and REST APIs powering AI-enabled solutions: clean interfaces, robust domain models, and maintainable data access patterns. Deliver cloud-native microservices using Docker and Kubernetes, with attention to scalability, resilience, and cost. Integrate and standardize API exposure via gateway patterns, including usage policies, throttling, authentication/authorization, and versioning (Azure API Management where applicable). Establish and maintain observability standards using Azure Monitor and Application Insights (dashboards, alerting, distributed tracing, and runbooks). Diagnose and resolve complex issues across microservices, clusters, and pipelines; perform root-cause analysis and preventative improvements. Embed security and resilience: secrets management, least privilege, container security best practices, and disaster recovery patterns. Engineer for regulated environments: implement audit-friendly practices such as traceable changes, reliable logging, and disciplined handling of sensitive data. Collaborate with ML Engineers, Platform Engineers, AI Architects, and DevOps to deliver shared foundations and consistent standards across global teams. Oferujemy: Contract under Polish law: B2B or Umowa o Pracę Benefits such as private medical care, group insurance, Multisport card English classes available Hybrid work (at least 1 day/week on-site) in Warsaw (Mokotów) Opportunity to work with excellent professionals High standards of work and focus on the quality of code New technologies in use Continuously learning and growth International team Pinball, PlayStation & much more (on-site)