24 days ago
Milan, ItalyStaff+
Responsibilities
- Design end-to-end scalable, reliable, secure architectures on Google Cloud Platform for telecommunications use cases.
- Design Generative AI and Machine Learning solutions using Vertex AI, Large Language Models, and Google Cloud services.
- Define real-time and near-real-time data architectures and pipelines using BigQuery and Google Cloud data services.
- Design cloud-native Kubernetes/GKE, containerized, microservices, and API-driven integration solutions.
- Translate business and network requirements into architecture decisions, technology roadmaps, and transformation plans.
- Lead technical design and delivery while coordinating local and international engineering teams.
- Define architectural standards, guidelines, governance principles, and solution documentation.
- Collaborate with technical and business stakeholders.
Requirements
- Solid experience designing complex architectures on Google Cloud Platform, preferably in telecommunications.
- Practical experience designing and implementing Generative AI solutions based on Vertex AI and Large Language Models.
- Experience designing data architectures and real-time or near-real-time pipelines.
- Knowledge of Google Cloud data services including BigQuery, Spanner, Firestore, and Google Cloud Storage.
- Strong knowledge of cloud-native technologies including Kubernetes, Google Kubernetes Engine, containers, and microservices.
- Experience designing distributed architectures and API-driven integrations.
- Knowledge of Infrastructure as Code practices and Terraform.
- Familiarity with telecommunications domains, processes, and systems, including OSS/BSS ecosystems.
- Ability to define architectural standards, technical governance models, and solution documentation.
- Good written and spoken English for work in international contexts.
- Preferred: experience applying Google Cloud and Generative AI to telecommunications.
- Preferred: knowledge of Autonomous Networks and the Google Autonomous Networks Operations Framework (ANOF).
- Preferred: experience with AIOps, Network Automation, observability, and intelligent assurance.
- Preferred: Google Cloud Professional Cloud Architect certification or equivalent cloud and AI certifications.
Benefits
- Permanent employment contract under the CCNL Commercio framework, 1st level.
- Hybrid work in Milan, Turin, Modena, Bologna, Naples, or Rome, with remote work and/or flexible hours.
- Professional growth paths, inclusive workplace, and opportunities to work on innovative Data and AI projects with global specialists.
- Access to certification paths and learning communities including the Data & AI Campus and GenAI Campus.
- Opportunities to pursue certifications with AWS, GCP, Azure, Snowflake, and Databricks.
Tech Stack
Categories
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.