5 days ago
Wrocław, Poland +3 moreMid Level
Responsibilities
- Design, develop, and maintain backend services and APIs using Python.
- Build and enhance RESTful APIs for frontend applications and system integrations.
- Implement scalable, reliable, and maintainable business logic.
- Collaborate with Cloud Engineers on deployment architecture, environment configuration, and CI/CD processes.
- Define API contracts and integration patterns with Frontend Developers.
- Develop backend solutions supporting AI-driven and data-intensive workflows.
- Integrate Generative AI capabilities, LLM APIs, and AI services into enterprise applications.
- Contribute to backend architecture and technical design decisions.
- Maintain standards for security, observability, performance, and operational excellence.
- Participate in testing, troubleshooting, optimization, and continuous improvement.
Requirements
- Strong experience in backend development using Python.
- Hands-on experience with modern Python frameworks, preferably FastAPI.
- Proven expertise designing, developing, and maintaining REST APIs.
- Experience building solutions in AWS and cloud-based environments.
- Understanding of backend architectures, integration patterns, and API design principles.
- Practical experience integrating AI-powered services, LLM APIs, or Generative AI solutions.
- Familiarity with software development best practices, Git, and Agile delivery methodologies.
- Experience with data pipelines, data-intensive applications, AI/ML platforms, model-serving solutions, or inference endpoints is beneficial.
- Experience with Snowflake or similar cloud data platforms is beneficial.
- Knowledge of SAP interfaces, OData, IDoc, RFC, or BAPI is beneficial.
- Experience with Docker, containerized deployment, CI/CD, secure API design, authentication, authorization, monitoring, observability, and application performance management is beneficial.
- Experience collaborating with Data Scientists and AI Engineers on production-grade AI solutions and working in large enterprise environments is beneficial.
- Strong analytical, problem-solving, communication, and cross-functional collaboration skills, with excellent English.
Benefits
- Hybrid working model with office and home-office options after onboarding.
- Home office package including a laptop, monitor, and chair.
- More than 70 training tracks with certification opportunities through the NEXT platform.
- Access to Education First, Pluralsight, TED Talks, Coursera, and Udemy Business training materials.
- Private medical care through Medicover, with additional packages available on preferential terms.
- Life insurance and more than 40 options through the NAIS benefits platform, including Netflix, Spotify, and a sports card.
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.